From b0aad32c7854f2a69fc12512f67a73b7bc05d615 Mon Sep 17 00:00:00 2001 From: dlegland Date: Thu, 23 Jun 2022 14:42:33 +0200 Subject: [PATCH] add source for user manual --- .../images/anova-iris/anova-irisPL-dlg.png | Bin 0 -> 10864 bytes .../images/anova-iris/anova-irisPL-resids.png | Bin 0 -> 16688 bytes .../anova-irisPL-residsBySpecies.png | Bin 0 -> 17104 bytes .../images/carsmall_correlationCircles.png | Bin 0 -> 66491 bytes .../images/cities_correlationCircles.png | Bin 0 -> 61350 bytes doc/matStats-manual/images/iris_boxplot.png | Bin 0 -> 14688 bytes .../images/iris_histogram_n30.png | Bin 0 -> 14790 bytes .../images/iris_meanByGroup_bar.png | Bin 0 -> 20051 bytes .../images/iris_pairPlot_bySpecies.png | Bin 0 -> 52161 bytes .../images/iris_petalLength_hist.png | Bin 0 -> 16025 bytes .../iris_petalWidth_petalLength_star.png | Bin 0 -> 21989 bytes .../images/iris_plotPetalLength_sq.png | Bin 0 -> 14489 bytes .../images/iris_scatterGroup.png | Bin 0 -> 50277 bytes 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Legland} +\date{\today} +\end_preamble +\options usenames,dvipsnames +\use_default_options true +\maintain_unincluded_children false +\language english +\language_package default +\inputencoding auto +\fontencoding global +\font_roman "default" "default" +\font_sans "default" "default" +\font_typewriter "default" "default" +\font_math "auto" "auto" +\font_default_family default +\use_non_tex_fonts false +\font_sc false +\font_osf false +\font_sf_scale 100 100 +\font_tt_scale 100 100 +\use_microtype false +\use_dash_ligatures true +\graphics default +\default_output_format pdf2 +\output_sync 0 +\bibtex_command default +\index_command default +\float_placement h +\paperfontsize default +\spacing single +\use_hyperref true +\pdf_bookmarks true +\pdf_bookmarksnumbered false +\pdf_bookmarksopen false +\pdf_bookmarksopenlevel 1 +\pdf_breaklinks false +\pdf_pdfborder false +\pdf_colorlinks false +\pdf_backref false +\pdf_pdfusetitle true +\papersize a4paper +\use_geometry false +\use_package amsmath 1 +\use_package amssymb 1 +\use_package cancel 1 +\use_package esint 1 +\use_package mathdots 1 +\use_package mathtools 1 +\use_package mhchem 1 +\use_package stackrel 1 +\use_package stmaryrd 1 +\use_package undertilde 1 +\cite_engine natbib +\cite_engine_type authoryear +\biblio_style plainnat +\use_bibtopic false +\use_indices false +\paperorientation portrait +\suppress_date true +\justification true +\use_refstyle 0 +\use_minted 0 +\index Index +\shortcut idx +\color #008000 +\end_index +\index functions +\shortcut fun +\color #0000ff +\end_index +\secnumdepth 3 +\tocdepth 2 +\paragraph_separation indent +\paragraph_indentation default +\is_math_indent 0 +\math_numbering_side default +\quotes_style english +\dynamic_quotes 0 +\papercolumns 1 +\papersides 2 +\paperpagestyle default +\listings_params "language=Matlab,style={Matlab-editor},numbers=left,tabsize=2,frame=single,breaklines=true,basicstyle={\scriptsize\mlttfamily},aboveskip=5pt,showspaces=false" +\tracking_changes false +\output_changes false +\html_math_output 0 +\html_css_as_file 0 +\html_be_strict false +\end_header + +\begin_body + +\begin_layout Title +MatStats user manual +\end_layout + +\begin_layout Abstract +User manual for the matStats library. + The matStats library aims at facilitating data exploration and statistical + analyses within the Matlab environment. + +\end_layout + +\begin_layout Abstract +The main contribution of the library is a +\begin_inset Quotes eld +\end_inset + +Table +\begin_inset Quotes erd +\end_inset + + class that encapsulates tabular data together with its meta data (names + of rows and columns), and that allows the manipulation of categorical variables + (or factors). + A large number of methods have been overloaded or specifically developped + to automatically annotate plots and/or processing results with meta data, + and facilitate the manipulation and the exploration of the data. + +\end_layout + +\begin_layout Abstract +The library also contains classes for performing dimensionality reduction + (using for example principal component analysis - PCA), clustering (kmeans) + or analysis of variance (ANOVA). + All classes provides facilities for the display and the export of results. +\end_layout + +\begin_layout Standard +\begin_inset CommandInset toc +LatexCommand tableofcontents + +\end_inset + + +\end_layout + +\begin_layout Chapter +Quick tour +\end_layout + +\begin_layout Standard +The aim of the +\series bold +Table +\series default + class is to facilitate the manipulation of data tables containing numerical + as well as categorical values, together with meta data such as row names + and column names. + The rows of data tables usually correspond to individual or observations, + and columns correspond to variables, features, or sampling factors. +\end_layout + +\begin_layout Standard +Data tables can be imported via the +\family typewriter +\color gray +read +\begin_inset Index idx +status open + +\begin_layout Plain Layout +read +\end_layout + +\end_inset + + +\family default +\color inherit + method, that can manage most data tables organised as separated values. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> % Read data from a csv file (several options can be specified) +\end_layout + +\begin_layout Plain Layout + +>> tab = Table.read('fisherIris.txt'); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +To content of a data table can be displayed as for a numeric array. + Categorical columns are displayed as readable text. + The +\family typewriter +\color gray +show +\begin_inset Index idx +status open + +\begin_layout Plain Layout +show +\end_layout + +\end_inset + + +\family default +\color inherit + method displays the same content in a figure with navigation sliders. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> % display a part of the table on the console +\end_layout + +\begin_layout Plain Layout + +>> disp(tab(1:3, :)); +\end_layout + +\begin_layout Plain Layout + + SepalLength SepalWidth PetalLength PetalWidth Species +\end_layout + +\begin_layout Plain Layout + +1 5.1 3.5 1.4 0.2 Setosa +\end_layout + +\begin_layout Plain Layout + +2 4.9 3 1.4 0.2 Setosa +\end_layout + +\begin_layout Plain Layout + +3 4.7 3.2 1.3 0.2 Setosa +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The +\family typewriter +\color gray +info +\begin_inset Index idx +status open + +\begin_layout Plain Layout +info +\end_layout + +\end_inset + + +\family default +\color inherit + methods displays the list of columns names, and the corresponding range + of values. + For factor columns, it displays the list of the levels if not too numerous. + +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> info(tab) +\end_layout + +\begin_layout Plain Layout + +Infos for table fisherIris: +\end_layout + +\begin_layout Plain Layout + +SepalLength: numerical [ 4.3 ; 7.9 ] +\end_layout + +\begin_layout Plain Layout + +SepalWidth: numerical [ 2 ; 4.4 ] +\end_layout + +\begin_layout Plain Layout + +PetalLength: numerical [ 1 ; 6.9 ] +\end_layout + +\begin_layout Plain Layout + +PetalWidth: numerical [ 0.1 ; 2.5 ] +\end_layout + +\begin_layout Plain Layout + +Species: categorical with 3 levels { Setosa ; Versicolor ; Virginica} +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +A +\family typewriter +\color gray +summary +\begin_inset Index idx +status open + +\begin_layout Plain Layout +summary +\end_layout + +\end_inset + + +\family default +\color inherit + method is also provided that provides more information on the distribution + of values within each column. +\end_layout + +\begin_layout Standard +\begin_inset listings +lstparams "language=Matlab" +inline false +status open + +\begin_layout Plain Layout + +>> % Or display summary of the data, like in R +\end_layout + +\begin_layout Plain Layout + +>> summary(tab); +\end_layout + +\begin_layout Plain Layout + + SepalLength SepalWidth PetalLength PetalWidth + Species +\end_layout + +\begin_layout Plain Layout + + Min: 4.3000 Min: 2.0000 Min: 1.0000 Min: 0.1000 + Setosa: 50 +\end_layout + +\begin_layout Plain Layout + + 1st Qu.: 5.1000 1st Qu.: 2.8000 1st Qu.: 1.6000 1st Qu.: 0.3000 + Versicolor: 50 +\end_layout + +\begin_layout Plain Layout + + Median: 5.8000 Median: 3.0000 Median: 4.3000 Median: 1.3000 + Virginica: 50 +\end_layout + +\begin_layout Plain Layout + + Mean: 5.8433 Mean: 3.0573 Mean: 3.7580 Mean: 1.1993 + +\end_layout + +\begin_layout Plain Layout + + 3rd Qu.: 6.4000 3rd Qu.: 3.3000 3rd Qu.: 5.1000 3rd Qu.: 1.8000 + +\end_layout + +\begin_layout Plain Layout + + Max: 7.9000 Max: 4.4000 Max: 6.9000 Max: 2.5000 +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The Table class provides several methods for quickly exploring the data + stored in the table. + The following script results in the figures shown in Figure +\begin_inset space ~ +\end_inset + + +\begin_inset CommandInset ref +LatexCommand ref +reference "fig:Table-graphical-representation" + +\end_inset + +. + Columns can be quickly +\series bold +indexed via their name +\series default +, facilitating the readability. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +% histogram of each feature, and scatter plot of feature pairs, +\end_layout + +\begin_layout Plain Layout + +% displays are grouped by the +\begin_inset Quotes eld +\end_inset + +Species +\begin_inset Quotes erd +\end_inset + + factor. +\end_layout + +\begin_layout Plain Layout + +pairPlot(iris(:,1:4), iris(:,5)); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Float figure +wide false +sideways false +status open + +\begin_layout Plain Layout + +\end_layout + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/iris_pairPlot_bySpecies.png + lyxscale 50 + height 5cm + +\end_inset + + +\begin_inset Graphics + filename images/pca/iris_pca_cp12_byGroup.png + lyxscale 50 + height 5cm + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +\begin_inset CommandInset label +LatexCommand label +name "fig:Table-graphical-representation" + +\end_inset + +Visual exploration of a table using histograms and scatter plots, and visual + ijnspection of the result of a Principal Components Analysis. +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard + +\series bold +Categorical columns / variables +\series default + can be used for facilitating the interpretation of displays. + Summary features of each level may also be obtained via the +\family typewriter +\color gray +aggregate +\begin_inset Index idx +status open + +\begin_layout Plain Layout +aggregate +\end_layout + +\end_inset + + +\family default +\color inherit + method. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +% scatter plot using groups +\end_layout + +\begin_layout Plain Layout + +scatterGroup(tab('PetalLength'), tab('PetalWidth'), tab('Species'), ... +\end_layout + +\begin_layout Plain Layout + + 'Envelope', 'InertiaEllipse', 'LegendLocation', 'NorthWest'); +\end_layout + +\begin_layout Plain Layout + +% Compute the mean of each group +\end_layout + +\begin_layout Plain Layout + +disp(aggregate(tab(:,1:4), tab('Species'), @mean)); +\end_layout + +\begin_layout Plain Layout + + SepalLength SepalWidth PetalLength PetalWidth +\end_layout + +\begin_layout Plain Layout + +Setosa-mean 5.006 3.428 1.462 0.246 +\end_layout + +\begin_layout Plain Layout + +Versicolor-mean 5.936 2.77 4.26 1.326 +\end_layout + +\begin_layout Plain Layout + +Virginica-mean 6.588 2.974 5.552 2.026 +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Statistical analysis of a data table can be performed via specific commands. + Figure +\begin_inset space ~ +\end_inset + + +\begin_inset CommandInset ref +LatexCommand ref +reference "fig:Table-graphical-representation" +plural "false" +caps "false" +noprefix "false" + +\end_inset + + also shows the result of a +\series bold +principal component analysis +\series default + performed on the same data set. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +% Apply Principal Component Analysis on the quantitative variables +\end_layout + +\begin_layout Plain Layout + +irisPca = Pca(tab(:, 1:4), 'display', 'off'); +\end_layout + +\begin_layout Plain Layout + +% display the scores with group labelling, by simply calling the plot method + on the "score" Table +\end_layout + +\begin_layout Plain Layout + +scatterGroup(irisPca.scores(:, 1), irisPca.scores(:, 2), tab('Species'), ... +\end_layout + +\begin_layout Plain Layout + + 'LegendLocation', 'NorthWest'); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Newpage newpage +\end_inset + + +\end_layout + +\begin_layout Chapter +Installation and configuration +\end_layout + +\begin_layout Section +Getting the software +\end_layout + +\begin_layout Standard +The latest version of the MatStats library may be obtained from GitHub +\begin_inset Foot +status collapsed + +\begin_layout Plain Layout +\begin_inset Flex URL +status open + +\begin_layout Plain Layout + +https://github.com/mattools/matStats +\end_layout + +\end_inset + + +\end_layout + +\end_inset + +, in the +\begin_inset Quotes eld +\end_inset + +mattools +\begin_inset Quotes erd +\end_inset + + organisation. + The whole project can be cloned from the main page. + Several releases are available as well. +\end_layout + +\begin_layout Standard +Another version is available from the Mathworks File Exchange +\begin_inset Foot +status collapsed + +\begin_layout Plain Layout +\begin_inset Flex URL +status open + +\begin_layout Plain Layout + +http://fr.mathworks.com/matlabcentral/fileexchange/43912-table-class +\end_layout + +\end_inset + + +\end_layout + +\end_inset + +. + It is less frequently updated. +\end_layout + +\begin_layout Section +Installation +\end_layout + +\begin_layout Standard +To install the MatStats library, simply download and extract the latest + release, or clone the Git repository. + Then add the +\begin_inset Quotes eld +\end_inset + +matStats +\begin_inset Quotes erd +\end_inset + + directory (containing the +\begin_inset Quotes eld +\end_inset + +@Table +\begin_inset Quotes erd +\end_inset + + directory) to the path list of Matlab. +\end_layout + +\begin_layout Standard +\begin_inset Note Note +status open + +\begin_layout Plain Layout +add screenshot +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Section +Getting help +\end_layout + +\begin_layout Standard +A basic help is provided for each class: +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> help Table +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +To get help about a specific method of the Table class, type: +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> help Table.methodName +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Finally, the list of methods available for the Table class, or for an instance + of the Table class, can be obtained via the +\family typewriter +\color gray +methods +\family default +\color inherit + function: +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> % list of methods of the class +\end_layout + +\begin_layout Plain Layout + +>> methods('Table') +\end_layout + +\begin_layout Plain Layout + +>> +\end_layout + +\begin_layout Plain Layout + +>> % list of methods for a class instance (same result as previous line) +\end_layout + +\begin_layout Plain Layout + +>> iris = Table.read('fisherIris'); +\end_layout + +\begin_layout Plain Layout + +>> methods(iris) +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Chapter +Basic functionalities +\end_layout + +\begin_layout Standard +This section summarises the design and the basic functionalities provided + by the Table class. +\end_layout + +\begin_layout Section +Table class +\end_layout + +\begin_layout Standard +The +\series bold +Table +\begin_inset Index idx +status open + +\begin_layout Plain Layout +Table +\end_layout + +\end_inset + + +\series default + class is a data structure developed to facilitate the manipulation and + the statistical analysis of data tables. + It can contains numerical values as well as categorical values, together + with meta data such as row names and column names. + +\end_layout + +\begin_layout Standard +Data tables are organised as arrays where the +\series bold +rows +\series default + usually correspond to individual or observations, and the +\series bold +columns +\series default + correspond to variables, features, measurements, or associated sampling + factors. +\end_layout + +\begin_layout Subsection +Table properties +\end_layout + +\begin_layout Standard +An instance of the +\begin_inset Quotes eld +\end_inset + +Table +\begin_inset Quotes erd +\end_inset + + class contains several inner variables (called +\begin_inset Quotes eld +\end_inset + +properties +\begin_inset Quotes erd +\end_inset + + in the Matlab documentation): +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +Data +\begin_inset Index idx +status open + +\begin_layout Plain Layout +Data +\end_layout + +\end_inset + + a numeric array containing the values stored in the data table. + +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +ColNames +\begin_inset Index idx +status open + +\begin_layout Plain Layout +ColNames +\end_layout + +\end_inset + + a cell array containing the name of each column / variable. + +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +RowNames +\begin_inset Index idx +status open + +\begin_layout Plain Layout +RowNames +\end_layout + +\end_inset + + (optional) a cell array containing the name of each row / observation. + +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +Levels +\begin_inset Index idx +status open + +\begin_layout Plain Layout +Levels +\end_layout + +\end_inset + + (optional) a cell array used to store the different levels of categorical + variables. +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +Name +\begin_inset Index idx +status open + +\begin_layout Plain Layout +Name +\end_layout + +\end_inset + + (optional) the name of the data table, used for creating plot legends. +\end_layout + +\begin_layout Section +Creating a table +\end_layout + +\begin_layout Standard +A data table can be easily created +\series bold +from a numeric array +\series default + : +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> tab = Table(magic(4)) +\end_layout + +\begin_layout Plain Layout + +tab = +\end_layout + +\begin_layout Plain Layout + + 1 2 3 4 +\end_layout + +\begin_layout Plain Layout + +1 16 2 3 13 +\end_layout + +\begin_layout Plain Layout + +2 5 11 10 8 +\end_layout + +\begin_layout Plain Layout + +3 9 7 6 12 +\end_layout + +\begin_layout Plain Layout + +4 4 14 15 1 +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The names of the columns and of the rows can be specified as cell arrays + of chars. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> data = reshape(1:15, [3 4])'; +\end_layout + +\begin_layout Plain Layout + +>> cols = {'C1', 'C2', 'C3'}; +\end_layout + +\begin_layout Plain Layout + +>> rows = {'R1'; 'R2'; 'R3'; 'R4'}; +\end_layout + +\begin_layout Plain Layout + +>> tab = Table(data, cols, rows) +\end_layout + +\begin_layout Plain Layout + +tab = +\end_layout + +\begin_layout Plain Layout + + C1 C2 C3 +\end_layout + +\begin_layout Plain Layout + +R1 1 2 3 +\end_layout + +\begin_layout Plain Layout + +R2 4 5 6 +\end_layout + +\begin_layout Plain Layout + +R3 7 8 9 +\end_layout + +\begin_layout Plain Layout + +R4 10 11 12 +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Data tables can also contain +\series bold + categorical data +\series default +. + They are initialised with cell arrays of chars: +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> levels = Table({'A'; 'B'; 'C'}) +\end_layout + +\begin_layout Plain Layout + +levels = +\end_layout + +\begin_layout Plain Layout + + 1 +\end_layout + +\begin_layout Plain Layout + +1 A +\end_layout + +\begin_layout Plain Layout + +2 B +\end_layout + +\begin_layout Plain Layout + +3 C +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +More information for the manipulation of categorical data (also called +\begin_inset Quotes eld +\end_inset + +groups +\begin_inset Quotes erd +\end_inset + + or +\begin_inset Quotes eld +\end_inset + +factors +\begin_inset Quotes erd +\end_inset + +) are given in the +\begin_inset CommandInset ref +LatexCommand nameref +reference "sec:Group-manipulation" +plural "false" +caps "false" +noprefix "false" + +\end_inset + + section. +\end_layout + +\begin_layout Standard +\begin_inset Note Note +status open + +\begin_layout Plain Layout +TODO: +\end_layout + +\begin_layout Itemize +Create method... +\end_layout + +\begin_layout Itemize +Conversion methods ( +\begin_inset Quotes eld +\end_inset + +tab = table2Table(tbl) +\begin_inset Quotes erd +\end_inset + +) +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Section +Display of tables content +\end_layout + +\begin_layout Standard +The +\family typewriter +\color gray +disp +\begin_inset Index idx +status open + +\begin_layout Plain Layout +disp +\end_layout + +\end_inset + + +\family default +\color inherit + method simply displays the content of a data table, together with the names + of columns and rows. + When an expression returning a data table ends without semi-colon, it is + silency called. + Indexing can be used to display only a part of the whole data table. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> iris = Table.read('fisherIris'); +\end_layout + +\begin_layout Plain Layout + +>> disp(iris(1:3, :)) +\end_layout + +\begin_layout Plain Layout + + SepalLength SepalWidth PetalLength PetalWidth Species +\end_layout + +\begin_layout Plain Layout + +1 5.1 3.5 1.4 0.2 Setosa +\end_layout + +\begin_layout Plain Layout + +2 4.9 3 1.4 0.2 Setosa +\end_layout + +\begin_layout Plain Layout + +3 4.7 3.2 1.3 0.2 Setosa +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The first or the last rows of a data table can be displayed with the +\family typewriter +\color gray +head +\begin_inset Index idx +status open + +\begin_layout Plain Layout +head +\end_layout + +\end_inset + + +\family default +\color inherit + or the +\family typewriter +\color gray +tail +\begin_inset Index idx +status open + +\begin_layout Plain Layout +tail +\end_layout + +\end_inset + + +\family default +\color inherit + functions. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> head(iris) +\end_layout + +\begin_layout Plain Layout + +ans = +\end_layout + +\begin_layout Plain Layout + + SepalLength SepalWidth PetalLength PetalWidth Species +\end_layout + +\begin_layout Plain Layout + +1 5.1 3.5 1.4 0.2 Setosa +\end_layout + +\begin_layout Plain Layout + +2 4.9 3 1.4 0.2 Setosa +\end_layout + +\begin_layout Plain Layout + +3 4.7 3.2 1.3 0.2 Setosa +\end_layout + +\begin_layout Plain Layout + +4 4.6 3.1 1.5 0.2 Setosa +\end_layout + +\begin_layout Plain Layout + +5 5 3.6 1.4 0.2 Setosa +\end_layout + +\begin_layout Plain Layout + +6 5.4 3.9 1.7 0.4 Setosa +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The +\family typewriter +\color gray +show +\begin_inset Index idx +status open + +\begin_layout Plain Layout +show +\end_layout + +\end_inset + + +\family default +\color inherit + functions opens a new figure and display the content of the table using + the graphical widgets provided with Matlab. +\end_layout + +\begin_layout Section +Information on data tables +\end_layout + +\begin_layout Standard +Several methods are implemented to have a quick overview of the content + of a data table without displaying its whole content. + The +\family typewriter +\color gray +info +\begin_inset Index idx +status open + +\begin_layout Plain Layout +info +\end_layout + +\end_inset + + +\family default +\series bold +\color inherit + +\series default +method displays the list of columns names, and the corresponding range of + values. + For factor columns, it displays the list of the levels if not too numerous. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> iris = Table.read('fisherIris'); +\end_layout + +\begin_layout Plain Layout + +>> info(iris) +\end_layout + +\begin_layout Plain Layout + +Infos for table fisherIris: +\end_layout + +\begin_layout Plain Layout + +SepalLength: numerical [ 4.3 ; 7.9 ] +\end_layout + +\begin_layout Plain Layout + +SepalWidth: numerical [ 2 ; 4.4 ] +\end_layout + +\begin_layout Plain Layout + +PetalLength: numerical [ 1 ; 6.9 ] +\end_layout + +\begin_layout Plain Layout + +PetalWidth: numerical [ 0.1 ; 2.5 ] +\end_layout + +\begin_layout Plain Layout + +Species: categorical with 3 levels { Setosa ; Versicolor ; Virginica} +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset CommandInset label +LatexCommand label +name "op:Summary" + +\end_inset + +More detailed info about each column can be obtained via the +\family typewriter +\color gray +summary +\begin_inset Index idx +status open + +\begin_layout Plain Layout +summary +\end_layout + +\end_inset + + +\family default +\color inherit + method. + It displays several statistics computed on numerical columns, and the number + of each level for categorical columns. + +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> summary(iris) +\end_layout + +\begin_layout Plain Layout + + SepalLength SepalWidth PetalLength PetalWidth + Species +\end_layout + +\begin_layout Plain Layout + + Min: 4.3000 Min: 2.0000 Min: 1.0000 Min: 0.1000 + Setosa: 50 +\end_layout + +\begin_layout Plain Layout + + 1st Qu.: 5.1000 1st Qu.: 2.8000 1st Qu.: 1.6000 1st Qu.: 0.3000 + Versicolor: 50 +\end_layout + +\begin_layout Plain Layout + + Median: 5.8000 Median: 3.0000 Median: 4.3000 Median: 1.3000 + Virginica: 50 +\end_layout + +\begin_layout Plain Layout + + Mean: 5.8433 Mean: 3.0573 Mean: 3.7580 Mean: 1.1993 + +\end_layout + +\begin_layout Plain Layout + + 3rd Qu.: 6.4000 3rd Qu.: 3.3000 3rd Qu.: 5.1000 3rd Qu.: 1.8000 + +\end_layout + +\begin_layout Plain Layout + + Max: 7.9000 Max: 4.4000 Max: 6.9000 Max: 2.5000 + +\end_layout + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Section +Reading Table from text files +\end_layout + +\begin_layout Standard +The +\family typewriter +\color gray +read +\begin_inset Index idx +status open + +\begin_layout Plain Layout +read +\end_layout + +\end_inset + + +\family default +\color inherit + method allows to load the content of a text file. + Most separated values formats can easily be imported. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +% read a simple file with space-delimited values +\end_layout + +\begin_layout Plain Layout + +tab = Table.read('myData.txt'); +\end_layout + +\begin_layout Plain Layout + +% a more complicated example requiring to change default values +\end_layout + +\begin_layout Plain Layout + +tab = Table.read('myData.csv', ... +\end_layout + +\begin_layout Plain Layout + + 'Delimiter', ';', 'decimalPoint', ',', ... +\end_layout + +\begin_layout Plain Layout + + 'rowNames', 'Label'); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Section +Exporting data table +\end_layout + +\begin_layout Standard +The +\family typewriter +\color gray +write +\begin_inset Index idx +status open + +\begin_layout Plain Layout +write +\end_layout + +\end_inset + + +\family default +\color inherit + method allows for writing the content of a data table into a text file. + The names of the columns are written on the first line, and the name of + each row is written on the beginning of each line. + Default settings are tabulation-separated values. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +write(tab, 'myData.txt'); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Chapter +Data table manipulation +\end_layout + +\begin_layout Standard +Most of the examples of this section make use of the +\begin_inset Quotes eld +\end_inset + +iris +\begin_inset Quotes erd +\end_inset + + data set, that can be loaded via the following line: +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> iris = Table.read('fisherIris'); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Section +Size +\end_layout + +\begin_layout Standard +The size of a data table can be obtained with the +\family typewriter +\color gray +size +\begin_inset Index idx +status open + +\begin_layout Plain Layout +size +\end_layout + +\end_inset + + +\family default +\color inherit + method. + +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> size(iris) +\end_layout + +\begin_layout Plain Layout + +ans = +\end_layout + +\begin_layout Plain Layout + + 150 5 +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +If required, the dimension can be specified, making it possible to obtain + the number of rows or columns of the table. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> size(iris, 1) +\end_layout + +\begin_layout Plain Layout + +ans = +\end_layout + +\begin_layout Plain Layout + + 150 +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +A subset of a data table can be obtained via classical +\series bold +array indexing +\series default +: +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> sub = iris(1:10, 1:4); +\end_layout + +\begin_layout Plain Layout + +>> whos sub +\end_layout + +\begin_layout Plain Layout + + Name Size Bytes Class Attributes +\end_layout + +\begin_layout Plain Layout + + sub 10x4 8 Table +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Section +Accessing values +\end_layout + +\begin_layout Standard +To access the inner data of a Table, it is possible to access the +\begin_inset Quotes eld +\end_inset + +Data +\begin_inset Quotes erd +\end_inset + + property: +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> sub2 = iris.Data(1:10, 1:4); +\end_layout + +\begin_layout Plain Layout + +>> whos sub2 +\end_layout + +\begin_layout Plain Layout + + Name Size Bytes Class Attributes +\end_layout + +\begin_layout Plain Layout + + sub2 10x4 320 double +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The names of rows and columns are stored in the fields +\family typewriter +\color gray +RowNames +\begin_inset Index idx +status open + +\begin_layout Plain Layout +RowNames +\end_layout + +\end_inset + + +\family default +\color inherit + and +\family typewriter +\color gray +ColNames +\begin_inset Index idx +status open + +\begin_layout Plain Layout +ColNames +\end_layout + +\end_inset + + +\family default +\color inherit + respectively. + For a data table with +\begin_inset Formula $n$ +\end_inset + + rows and +\begin_inset Formula $p$ +\end_inset + + columns, the row names are stored in a +\begin_inset Formula $n\times1$ +\end_inset + + cell array, and the column names in a +\begin_inset Formula $1\times p$ +\end_inset + + cell array. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> % display column names +\end_layout + +\begin_layout Plain Layout + +>> iris.ColNames +\end_layout + +\begin_layout Plain Layout + +ans = +\end_layout + +\begin_layout Plain Layout + + 1x5 cell array +\end_layout + +\begin_layout Plain Layout + + 'SepalLength' 'SepalWidth' 'PetalLength' 'PetalWidth' 'Species' +\end_layout + +\begin_layout Plain Layout + +>> +\end_layout + +\begin_layout Plain Layout + +>> % display the name of the five first rows +\end_layout + +\begin_layout Plain Layout + +>> iris.RowNames(1:5)' +\end_layout + +\begin_layout Plain Layout + +ans = +\end_layout + +\begin_layout Plain Layout + + 1x5 cell array +\end_layout + +\begin_layout Plain Layout + + '1' '2' '3' '4' '5' +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Section +Indexing +\end_layout + +\begin_layout Standard +The rows and the columns of a Table can be +\series bold + indexed by their names +\series default + to facilitate the readability. + When only named index is specified, it is assumed to be that of a column: +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> petalLength = iris('PetalLength'); +\end_layout + +\begin_layout Plain Layout + +>> whos petalLength +\end_layout + +\begin_layout Plain Layout + + Name Size Bytes Class Attributes +\end_layout + +\begin_layout Plain Layout + + petalLength 150x1 8 Table +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Eventually, a combination of column names can be used. + The following script +\series bold +re-order the columns +\series default + of the data table in the specified order: +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> iris2 = iris({'PetalLength', 'SepalLength', 'PetalWidth', 'SepalWidth'}); +\end_layout + +\begin_layout Plain Layout + +>> info(iris2) +\end_layout + +\begin_layout Plain Layout + +Infos for table fisherIris: +\end_layout + +\begin_layout Plain Layout + +PetalLength: numerical [ 1 ; 6.9 ] +\end_layout + +\begin_layout Plain Layout + +SepalLength: numerical [ 4.3 ; 7.9 ] +\end_layout + +\begin_layout Plain Layout + +PetalWidth: numerical [ 0.1 ; 2.5 ] +\end_layout + +\begin_layout Plain Layout + +SepalWidth: numerical [ 2 ; 4.4 ] +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Section +Concatenation +\end_layout + +\begin_layout Standard +Most array operators have been overloaded for Table objects. + In particular, the +\family typewriter +\color gray +horzcat +\begin_inset Index idx +status open + +\begin_layout Plain Layout +horzcat +\end_layout + +\end_inset + + +\family default +\color inherit + and the +\family typewriter +\color gray +vertcat +\begin_inset Index idx +status open + +\begin_layout Plain Layout +vertcat +\end_layout + +\end_inset + + +\family default +\color inherit + methods make it possible to concatenate data tables using brackets notation: +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> dat = Table(ones(3, 3)); +\end_layout + +\begin_layout Plain Layout + +>> % aggregation by columns (horzat) +\end_layout + +\begin_layout Plain Layout + +>> threeRows = [dat dat dat dat]; +\end_layout + +\begin_layout Plain Layout + +>> whos threeRows +\end_layout + +\begin_layout Plain Layout + + Name Size Bytes Class Attributes +\end_layout + +\begin_layout Plain Layout + + threeRows 3x12 8 Table +\end_layout + +\begin_layout Plain Layout + +>> +\end_layout + +\begin_layout Plain Layout + +>> % aggregation by rows (vertcat) +\end_layout + +\begin_layout Plain Layout + +>> threeCols = [dat ; dat ; dat ; dat]; +\end_layout + +\begin_layout Plain Layout + +>> whos threeCols +\end_layout + +\begin_layout Plain Layout + + Name Size Bytes Class Attributes +\end_layout + +\begin_layout Plain Layout + + threeCols 12x3 8 Table +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The names of the rows and colums are repeated accordingly. + The +\family typewriter +\color gray +repmat +\begin_inset Index idx +status open + +\begin_layout Plain Layout +repmat +\end_layout + +\end_inset + + +\family default +\color inherit + method is an alternative way for concatenating data tables. + +\begin_inset Note Note +status open + +\begin_layout Plain Layout +add repmat example? +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Note Note +status open + +\begin_layout Subsection +Sorting +\end_layout + +\begin_layout Plain Layout +Tables containing numerical columns can be sorted according to one of the + columns values. + Here is an example of the +\family typewriter +\color gray +sortrows +\begin_inset Index idx +status open + +\begin_layout Plain Layout +sortrows +\end_layout + +\end_inset + + +\family default +\color inherit + method applied on an excerpt of the iris table: +\end_layout + +\begin_layout Plain Layout +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> iris = Table.read('fisherIris.txt'); +\end_layout + +\begin_layout Plain Layout + +>> sortrows(iris(1:10, :), 1) +\end_layout + +\begin_layout Plain Layout + + ans = +\end_layout + +\begin_layout Plain Layout + + SepalLength SepalWidth PetalLength PetalWidth Species +\end_layout + +\begin_layout Plain Layout + + 9 4.4 2.9 1.4 0.2 Setosa +\end_layout + +\begin_layout Plain Layout + + 4 4.6 3.1 1.5 0.2 Setosa +\end_layout + +\begin_layout Plain Layout + + 7 4.6 3.4 1.4 0.3 Setosa +\end_layout + +\begin_layout Plain Layout + + 3 4.7 3.2 1.3 0.2 Setosa +\end_layout + +\begin_layout Plain Layout + + 2 4.9 3 1.4 0.2 Setosa +\end_layout + +\begin_layout Plain Layout + + 10 4.9 3.1 1.5 0.1 Setosa +\end_layout + +\begin_layout Plain Layout + + 5 5 3.6 1.4 0.2 Setosa +\end_layout + +\begin_layout Plain Layout + + 8 5 3.4 1.5 0.2 Setosa +\end_layout + +\begin_layout Plain Layout + + 1 5.1 3.5 1.4 0.2 Setosa +\end_layout + +\begin_layout Plain Layout + + 6 5.4 3.9 1.7 0.4 Setosa +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Section +Advanced operations +\end_layout + +\begin_layout Minisec +corrcoef +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +correlation +\end_layout + +\end_inset + +The +\series bold + correlation matrix +\begin_inset Index idx +status open + +\begin_layout Plain Layout +correlation matrix +\end_layout + +\end_inset + + +\series default + is a common tool to quickly compute the correlations between all couples + of quantitative variables with in data table. + It can be obtained via the +\family typewriter +\color gray +corrcoef +\begin_inset Index idx +status open + +\begin_layout Plain Layout +corrcoef +\end_layout + +\end_inset + + +\family default +\color inherit + function. + The corrcoef is a matlab function, which has been overloaded for Table + objects such that it also returns the names of the variables in rows and + columns. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> corrcoef(iris(:, 1:4)) +\end_layout + +\begin_layout Plain Layout + +ans = +\end_layout + +\begin_layout Plain Layout + + SepalLength SepalWidth PetalLength PetalWidth +\end_layout + +\begin_layout Plain Layout + + SepalLength 1 -0.10937 0.87175 0.81795 +\end_layout + +\begin_layout Plain Layout + + SepalWidth -0.10937 1 -0.42052 -0.35654 +\end_layout + +\begin_layout Plain Layout + + PetalLength 0.87175 -0.42052 1 0.96276 +\end_layout + +\begin_layout Plain Layout + + PetalWidth 0.81795 -0.35654 0.96276 1 +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The correlation coefficient of two variables may also be obtained by using + two inputs. + In this case, the result is a numeric scalar. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> corrcoef(iris('PetalLength'), iris('SepalLength')) +\end_layout + +\begin_layout Plain Layout + + ans = +\end_layout + +\begin_layout Plain Layout + + 0.8718 +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Chapter +Group manipulation +\end_layout + +\begin_layout Standard +\begin_inset CommandInset label +LatexCommand label +name "sec:Group-manipulation" + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Note Note +status open + +\begin_layout Plain Layout +TODO: +\end_layout + +\begin_layout Itemize +rewrite intro +\end_layout + +\begin_layout Itemize +introduce setFactorLevels +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Section +Categorical variables +\end_layout + +\begin_layout Standard +Contrary to numerical variables, categorical variables take values in a + finite set of values, that can be numeric or alpha-numeric. + For the iris data set, the +\begin_inset Quotes eld +\end_inset + +Species +\begin_inset Quotes erd +\end_inset + + column corresponds to a categorical variable. + +\end_layout + +\begin_layout Standard +For the Table class, categorical variables are called +\series bold +factors +\series default +, and the possible values of a categorical variable are called +\series bold +levels +\series default +. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> isFactor(iris, {'PetalLength', 'Species'}) +\end_layout + +\begin_layout Plain Layout + +ans = +\end_layout + +\begin_layout Plain Layout + + 1x2 logical array +\end_layout + +\begin_layout Plain Layout + + 0 1 +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The levels of a factor are stored in a cell array containing the name of + each level. + They can be accessed via the +\family typewriter +\color gray +factorLevels +\begin_inset Index idx +status open + +\begin_layout Plain Layout +factorLevels +\end_layout + +\end_inset + + +\family default +\color inherit + method: +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> iris.factorLevels('Species') +\end_layout + +\begin_layout Plain Layout + +ans = +\end_layout + +\begin_layout Plain Layout + + 3x1 cell array +\end_layout + +\begin_layout Plain Layout + + 'Setosa' +\end_layout + +\begin_layout Plain Layout + + 'Versicolor' +\end_layout + +\begin_layout Plain Layout + + 'Virginica' +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The different levels of a factor are stored in the +\family typewriter +\color gray +Levels +\begin_inset Index idx +status open + +\begin_layout Plain Layout +Levels +\end_layout + +\end_inset + + +\family default +\color inherit + inner variable, that can also be accessed directly. + The levels variables has as many cells as the numberof columns in the table. + If a cell is not empty, the corresponding column is considered as a factor + column. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> iris.Levels +\end_layout + +\begin_layout Plain Layout + +ans = +\end_layout + +\begin_layout Plain Layout + + 1x5 cell array +\end_layout + +\begin_layout Plain Layout + + [] [] [] [] {3x1 cell} +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The +\family typewriter +\color gray +hasFactor +\begin_inset Index idx +status open + +\begin_layout Plain Layout +hasFactor +\end_layout + +\end_inset + + +\family default +\color inherit + method can be used to know if a data table contains one or more columns + containing categorical variables. +\end_layout + +\begin_layout Section +Operations on factor columns +\end_layout + +\begin_layout Standard +Several methods have been overloaded for facilitating the manipulation of + factor columns. + For comparisons, the +\family typewriter +\color gray +strcmp +\begin_inset Index idx +status open + +\begin_layout Plain Layout +strcmp +\end_layout + +\end_inset + + +\family default +\color inherit + method allows to check if a level is the same as a specified value: +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> strcmp(iris(1, 'Species'), 'Setosa') +\end_layout + +\begin_layout Plain Layout + +ans = +\end_layout + +\begin_layout Plain Layout + + Species==Setosa +\end_layout + +\begin_layout Plain Layout + +1 1 +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Other operations for manipulation of factors include: +\end_layout + +\begin_layout Minisec +trimLevels +\begin_inset Index idx +status open + +\begin_layout Plain Layout +trimLevels +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Recomputes level indices to keep only existing values. +\end_layout + +\begin_layout Minisec +reorderLevels +\begin_inset Index idx +status open + +\begin_layout Plain Layout +reorderLevels +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Changes the order the levels are stored. +\end_layout + +\begin_layout Minisec +combineFactors +\begin_inset Index idx +status open + +\begin_layout Plain Layout +combineFactors +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Aggregates two factors to create a new factor. +\end_layout + +\begin_layout Minisec +mergeFactorLevels +\begin_inset Index idx +status open + +\begin_layout Plain Layout +mergeFactorLevels +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Merges several levels of a factor. +\end_layout + +\begin_layout Minisec +clearFactors +\begin_inset Index idx +status open + +\begin_layout Plain Layout +clearFactors +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Replaces all factor columns by numeric columns. +\end_layout + +\begin_layout Section +Table reduction from groups +\end_layout + +\begin_layout Standard +Some functions allows to summarize table values according to grouping variables. +\end_layout + +\begin_layout Minisec +aggregate +\end_layout + +\begin_layout Standard +Summary features of each level of a categorical variable can be obtained + via the +\family typewriter +\color gray +aggregate +\begin_inset Index idx +status open + +\begin_layout Plain Layout +aggregate +\end_layout + +\end_inset + + +\family default +\color inherit + method. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> % Compute the mean of each group +\end_layout + +\begin_layout Plain Layout + +>> meanByGroup = aggregate(tab(:,1:4), tab('Species'), @mean); +\end_layout + +\begin_layout Plain Layout + +>> disp(meanByGroup) +\end_layout + +\begin_layout Plain Layout + + SepalLength SepalWidth PetalLength PetalWidth +\end_layout + +\begin_layout Plain Layout + +Setosa-mean 5.006 3.428 1.462 0.246 +\end_layout + +\begin_layout Plain Layout + +Versicolor-mean 5.936 2.77 4.26 1.326 +\end_layout + +\begin_layout Plain Layout + +Virginica-mean 6.588 2.974 5.552 2.026 +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Minisec +crossTable +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +Contingency table +\end_layout + +\end_inset + +Contingency table, or cross-tabulation, can be obtained via +\family typewriter +\color gray +crossTable +\begin_inset Index idx +status open + +\begin_layout Plain Layout +crossTable +\end_layout + +\end_inset + + +\family default +\color inherit + function: +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> iris = Table.read('fisherIris.txt'); +\end_layout + +\begin_layout Plain Layout + +>> resKMeans = kmeans(iris(:,1:4), 3); +\end_layout + +\begin_layout Plain Layout + +>> crossTable(iris('Species'), resKMeans) +\end_layout + +\begin_layout Plain Layout + +ans = +\end_layout + +\begin_layout Plain Layout + + 1 2 3 +\end_layout + +\begin_layout Plain Layout + +Setosa 50 0 0 +\end_layout + +\begin_layout Plain Layout + +Versicolor 0 2 48 +\end_layout + +\begin_layout Plain Layout + +Virginica 0 36 14 +\end_layout + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Chapter +Plotting functions +\end_layout + +\begin_layout Standard +\begin_inset CommandInset label +LatexCommand label +name "sec:Plotting" + +\end_inset + + +\end_layout + +\begin_layout Standard +The Table class of the MatStats library proposes a collection of functions + for the graphical representation of data. + Most of them consist in overloading classical Matlab plotting functions, + by adding relevant meta-data to the plot. + Several functions also provide support for grouping variables, that can + be specified either as a separate array, or as an instance of Table containing + only one factor column. +\end_layout + +\begin_layout Section +Distribution plots +\end_layout + +\begin_layout Subsection +Histograms +\end_layout + +\begin_layout Standard +It is often useful to display a global view of the values within a column. + The result of the +\family typewriter +\color gray +histogram +\begin_inset Index idx +status open + +\begin_layout Plain Layout +histogram +\end_layout + +\end_inset + + +\family default +\color inherit + and of the +\family typewriter +\color gray +violinplot +\begin_inset Index idx +status open + +\begin_layout Plain Layout +violinplot +\end_layout + +\end_inset + + +\family default +\color inherit + methods are shown on figure +\begin_inset space ~ +\end_inset + + +\begin_inset CommandInset ref +LatexCommand ref +reference "fig:histogram" + +\end_inset + +. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> iris = Table.read('fisherIris'); +\end_layout + +\begin_layout Plain Layout + +>> histogram(iris('PetalLength'), 30); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Float figure +wide false +sideways false +status open + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/iris_histogram_n30.png + lyxscale 50 + height 5cm + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +\begin_inset CommandInset label +LatexCommand label +name "fig:histogram" + +\end_inset + +Assessing the distribution of a feature values by using the histogram. +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Subsection +Box plot and violin plot +\end_layout + +\begin_layout Standard +The +\family typewriter +\color gray +boxplot +\begin_inset Index idx +status open + +\begin_layout Plain Layout +boxplot +\end_layout + +\end_inset + + +\family default +\color inherit + is a common method for investigating the distribution of a collection of + features (Fig. +\begin_inset space ~ +\end_inset + + +\begin_inset CommandInset ref +LatexCommand ref +reference "fig:boxplot-violinplot" + +\end_inset + +). +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> boxplot(iris(:, 1:4)); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Float figure +wide false +sideways false +status open + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/iris_boxplot.png + lyxscale 50 + width 35text% + +\end_inset + + +\begin_inset Graphics + filename images/iris_violinPlot.png + lyxscale 50 + width 35text% + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +\begin_inset CommandInset label +LatexCommand label +name "fig:boxplot-violinplot" + +\end_inset + +Assessing the distribution of values by using the violin plots. + Left: boxplot of a collection of numerical variables. + Right: violin plot of a collection of numerical variables. + +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The +\family typewriter +\color gray +violin plot +\begin_inset Index idx +status open + +\begin_layout Plain Layout +violin plot +\end_layout + +\end_inset + + +\family default +\color inherit + is a less common way of visualising the distribution of a collection of + variables (Fig. +\begin_inset space ~ +\end_inset + + +\begin_inset CommandInset ref +LatexCommand ref +reference "fig:boxplot-violinplot" +plural "false" +caps "false" +noprefix "false" + +\end_inset + +), but can be an interesting alternative to more classical box plots. + +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> violinPlot(iris(:,1:4)); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Subsection +Distribution by factor +\end_layout + +\begin_layout Standard +Both box plot and violin plot can be applied on a single numerical variable + in conjunction with a factor variable (Fig. +\begin_inset space ~ +\end_inset + + +\begin_inset CommandInset ref +LatexCommand ref +reference "fig:Violin-plot-factor" +plural "false" +caps "false" +noprefix "false" + +\end_inset + +). +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> violinPlot(iris('PetalWidth'), iris('Species'), 'y'); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Float figure +wide false +sideways false +status open + +\begin_layout Plain Layout + +\end_layout + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/iris_violinPlotByGroup.png + lyxscale 50 + height 5cm + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +\begin_inset CommandInset label +LatexCommand label +name "fig:Violin-plot-factor" + +\end_inset + +Violin plot for a the different levels of a factor. +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Newpage newpage +\end_inset + + +\end_layout + +\begin_layout Section +Correlation plots +\end_layout + +\begin_layout Standard +\begin_inset Note Note +status open + +\begin_layout Plain Layout +Add joint Histogram display. +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Subsection +Scatter plot +\end_layout + +\begin_layout Standard +The +\family typewriter +\color gray +plot +\begin_inset Index idx +status open + +\begin_layout Plain Layout +plot +\end_layout + +\end_inset + + +\family default +\color inherit + function may also be used to display the values of a given column, or to + create a scatter plot of two values (Figure +\begin_inset space ~ +\end_inset + + +\begin_inset CommandInset ref +LatexCommand ref +reference "fig:scatterPlot" + +\end_inset + +). + As it relies on the original plot function from Matlab, all options for + changing drawing style can be supplied as parameter name-value pairs, or + as a single plot option. +\begin_inset Note Note +status open + +\begin_layout Plain Layout +should use +\begin_inset Quotes eld +\end_inset + +scatter +\begin_inset Quotes erd +\end_inset + + or scatterplot +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> plot(iris('PetalLength'), 's'); +\end_layout + +\begin_layout Plain Layout + +>> plot(iris('PetalLength'), iris('PetalWidth'), '*'); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Float figure +wide false +sideways false +status open + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/iris_plotPetalLength_sq.png + lyxscale 50 + height 5cm + +\end_inset + + +\begin_inset Graphics + filename images/iris_petalWidth_petalLength_star.png + lyxscale 50 + height 5cm + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +\begin_inset CommandInset label +LatexCommand label +name "fig:scatterPlot" + +\end_inset + +Data representation using scatter plot. +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +To display scatter plot by group, it is necessary to use the +\family typewriter +\color gray +scatterGroup +\begin_inset Index idx +status open + +\begin_layout Plain Layout +scatterGroup +\end_layout + +\end_inset + + +\family default +\color inherit + function (Figure +\begin_inset space ~ +\end_inset + + +\begin_inset CommandInset ref +LatexCommand ref +reference "fig:scatterGroups" + +\end_inset + +). + The default behaviour is to add a surrounding polygon around the points + of each group, in order to better visualize the groups. + This can be changed to an ellipse or to nothing. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> scatterGroup(iris('PetalLength'), iris('SepalLength'), iris('Species'), + ... +\end_layout + +\begin_layout Plain Layout + + 'legendLocation', 'NorthWest'); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The +\family typewriter +\color gray +scatterGroup3d +\begin_inset Index idx +status open + +\begin_layout Plain Layout +scatterGroup3d +\end_layout + +\end_inset + + +\family default +\color inherit + works in a similar way, by allowing three input variables (Figure +\begin_inset space ~ +\end_inset + + +\begin_inset CommandInset ref +LatexCommand ref +reference "fig:scatterGroups" + +\end_inset + +). +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> scatterGroup3d(iris('PetalLength'), iris('SepalLength'), iris('SepalWidth'), + iris('Species'), ... +\end_layout + +\begin_layout Plain Layout + + 'legendLocation', 'NorthWest'); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Float figure +wide false +sideways false +status open + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/iris_scatterGroup.png + lyxscale 50 + height 5cm + +\end_inset + + +\begin_inset Graphics + filename images/iris_scatterGroup3d.png + lyxscale 50 + height 5cm + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +\begin_inset CommandInset label +LatexCommand label +name "fig:scatterGroups" + +\end_inset + +Application of the scatterGroup and of the scatterGroup3d functions. +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Subsection +Pair plot and correlogram +\end_layout + +\begin_layout Standard +The exploration of the correlation matrix may be tedious if the number of + variables is large, and it could be useful to visualize simultaneously + the correlations between all pairs variables. + The +\family typewriter +\color gray +pairPlot +\begin_inset Index idx +status open + +\begin_layout Plain Layout +pairPlot +\end_layout + +\end_inset + + +\family default +\color inherit + function allows to quickly represent the distribution of features, as well + as the bivariate distributions of each pair of features (Figure +\begin_inset space ~ +\end_inset + + +\begin_inset CommandInset ref +LatexCommand ref +reference "fig:pairPlot" +plural "false" +caps "false" +noprefix "false" + +\end_inset + +). + A grouping feature can also be specified. +\end_layout + +\begin_layout Standard +The +\family typewriter +\color gray +correlationCircles +\begin_inset Index idx +status open + +\begin_layout Plain Layout +correlationCircles +\end_layout + +\end_inset + + +\family default +\color inherit + function displays the correlations between all pairs of quantitative variables + as a collection of colored circles (Figure +\begin_inset space ~ +\end_inset + + +\begin_inset CommandInset ref +LatexCommand ref +reference "fig:correlation-circles" +plural "false" +caps "false" +noprefix "false" + +\end_inset + +). + Red colors correpond to positive correlations, whereas blue colors correspond + to negative correlations. + The size of the circles is also related to the intensity of the correlation. + Such representation may also be known as +\series bold +correlogram +\series default +. +\begin_inset Note Note +status open + +\begin_layout Plain Layout +heatmap? +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Float figure +wide false +sideways false +status open + +\begin_layout Plain Layout +\align center +\begin_inset Float figure +wide false +sideways false +status open + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/iris_pairPlot_bySpecies.png + lyxscale 50 + width 47text% + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +\begin_inset CommandInset label +LatexCommand label +name "fig:pairPlot" + +\end_inset + +pairPlot. +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Float figure +wide false +sideways false +status open + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/carsmall_correlationCircles.png + lyxscale 70 + width 47text% + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +\begin_inset CommandInset label +LatexCommand label +name "fig:correlation-circles" + +\end_inset + +correlationCircles. +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +\begin_inset CommandInset label +LatexCommand label +name "fig:AdvancedStatPlots" + +\end_inset + +Advanced plot functions for exploratory data analysis. + (a) Usage of the PairPlot function with a factor column, showing the distributi +ons of each feature according to the factor levels, and the scatter plots + of all pairs of features. + (b) Graphical representation of correlations between all pairs of quantitative + variables using the +\family typewriter +\color gray +correlationCircles +\family default +\color inherit + function, on a subset of the +\begin_inset Quotes eld +\end_inset + +carsmall +\begin_inset Quotes erd +\end_inset + + data table. + +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Newpage newpage +\end_inset + + +\end_layout + +\begin_layout Section +Plot column values +\end_layout + +\begin_layout Standard +When the row order of the values in the table has a specific meaning (typically + the sampling time), it is relevant to represent the values of the columns + according to this order. + The +\family typewriter +\color gray +linePlot +\begin_inset Index idx +status open + +\begin_layout Plain Layout +linePlot +\end_layout + +\end_inset + + +\family default +\color inherit + function displays data as a continuous curve (Fig. +\begin_inset space ~ +\end_inset + + +\begin_inset CommandInset ref +LatexCommand ref +reference "fig:plot-stairs-stem" +plural "false" +caps "false" +noprefix "false" + +\end_inset + +). + +\end_layout + +\begin_layout Standard +\begin_inset Float figure +wide false +sideways false +status open + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/plot/plotDemo_01.png + lyxscale 50 + width 50text% + +\end_inset + + +\begin_inset Graphics + filename images/plot/plotDemo_02.png + lyxscale 50 + width 50text% + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/plot/plotDemo_03.png + lyxscale 50 + width 50text% + +\end_inset + + +\begin_inset Graphics + filename images/plot/plotDemo_04.png + lyxscale 50 + width 50text% + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +\begin_inset CommandInset label +LatexCommand label +name "fig:plot-stairs-stem" + +\end_inset + +Various plotting functions. + From left to right: line plot, bar plot, stair-steps plot, and stem plot. +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +It is possible to specifiy another column that determines the coordinates + on the X-axis. + As it relies on the original plot function from Matlab, all options for + changing drawing style can be supplied as parameter name-value pairs, or + as a single plot option such as 'b.-'. +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> t = linspace(0, 2*pi, 100)'; +\end_layout + +\begin_layout Plain Layout + +>> data = [t cos(t) sin(t)]; +\end_layout + +\begin_layout Plain Layout + +>> tab = Table(data, {'t', 'Cos(t)', 'Sin(t)'}, 'Name', 'Sine and Cosine'); +\end_layout + +\begin_layout Plain Layout + +>> figure; linePlot(tab(:,1), tab(:,2:3)); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Depending on the nature of the variables, the +\family typewriter +\color gray +barPlot +\begin_inset Index idx +status open + +\begin_layout Plain Layout +barPlot +\end_layout + +\end_inset + + +\family default +\color inherit +, the +\family typewriter +\color gray +stairStepsPlot +\begin_inset Index idx +status open + +\begin_layout Plain Layout +stairStepsPlot +\end_layout + +\end_inset + + +\family default +\color inherit +, or the +\family typewriter +\color gray +stemPlot +\begin_inset Index idx +status open + +\begin_layout Plain Layout +stemPlot +\end_layout + +\end_inset + + +\family default +\color inherit + functions may be more appropriate. +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> figure; barPlot(tab(:,1), tab(:,2:3)); +\end_layout + +\begin_layout Plain Layout + +>> figure; stairStepPlot(tab(:,1), tab(:,2:3)); +\end_layout + +\begin_layout Plain Layout + +>> figure; stemPlot(tab(:,1), tab(:,2:3)); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The average values by group, or any other summary statistics, can be computed + with the +\family typewriter +\color gray +aggregate +\begin_inset Index idx +status open + +\begin_layout Plain Layout +aggregate +\end_layout + +\end_inset + + +\family default +\color inherit + function. + The result can be displayed with the +\family typewriter +\color gray +barPlot +\begin_inset Index idx +status open + +\begin_layout Plain Layout +barPlot +\end_layout + +\end_inset + + +\family default +\color inherit + method (Figure +\begin_inset space ~ +\end_inset + + +\begin_inset CommandInset ref +LatexCommand ref +reference "fig:BarPlot" +plural "false" +caps "false" +noprefix "false" + +\end_inset + +). +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> % Compute the mean of each group +\end_layout + +\begin_layout Plain Layout + +>> meanByGroup = aggregate(iris(:,1:4), iris('Species'), @mean); +\end_layout + +\begin_layout Plain Layout + +>> figure; +\end_layout + +\begin_layout Plain Layout + +>> barPlot(meanByGroup') +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Float figure +wide false +sideways false +status open + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/iris_meanByGroup_bar.png + lyxscale 50 + width 47text% + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +\begin_inset CommandInset label +LatexCommand label +name "fig:BarPlot" + +\end_inset + +Usage of the +\family typewriter +\color gray +barPlot +\family default +\color inherit + function, on a collection of quantitative variables. +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Note Note +status open + +\begin_layout Plain Layout +add error bar plot +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Chapter +Dimensionality reduction +\end_layout + +\begin_layout Standard +The aim of dimensionality reduction is to transform a table into another + table with same number of rows and smaller number of columns (features), + by keeping as much as possible the similarities between the rows (the samples). +\end_layout + +\begin_layout Standard +The most common method for dimensionality reduction is principal component + analysis (PCA). +\end_layout + +\begin_layout Section +Principal component analysis (PCA) +\end_layout + +\begin_layout Standard +\begin_inset CommandInset label +LatexCommand label +name "sec:Principal-Component-Analysis" + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Note Note +status open + +\begin_layout Subsection* +Principles of PCA +\end_layout + +\begin_layout Plain Layout +Transform data array +\begin_inset Formula $X$ +\end_inset + + with +\begin_inset Formula $n$ +\end_inset + + rows (corresponding to observations, or individuals) and +\begin_inset Formula $p$ +\end_inset + + columns (corresponding to features, or variables) into a matrix product + +\begin_inset Formula $Y\cdot P^{t}$ +\end_inset + +, where +\begin_inset Formula $Y$ +\end_inset + + is a +\begin_inset Formula $n\times q$ +\end_inset + + array an +\begin_inset Formula $P$ +\end_inset + + is a +\begin_inset Formula $p\times q$ +\end_inset + + array. +\end_layout + +\begin_layout Plain Layout +Alternative way: +\end_layout + +\begin_layout Plain Layout +The goal is to compute transformed variables +\begin_inset Formula $T$ +\end_inset + + such that +\end_layout + +\begin_layout Plain Layout +\begin_inset Formula +\[ +\boldsymbol{T}=\boldsymbol{X}\cdot\boldsymbol{W} +\] + +\end_inset + +where +\begin_inset Formula $W$ +\end_inset + + is a +\begin_inset Formula $p$ +\end_inset + +-by- +\begin_inset Formula $p$ +\end_inset + + matrix of weights whose columns are the eigenvectors of +\begin_inset Formula $X^{t}X$ +\end_inset + +. + Columns of W multiplied by the square root of corresponding eigenvalues, + that is, eigenvectors scaled up by the variances, are called loadings in + PCA or in Factor analysis. +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The +\begin_inset Quotes eld +\end_inset + +Pca +\begin_inset Index idx +status open + +\begin_layout Plain Layout +Pca +\end_layout + +\end_inset + + +\begin_inset Quotes erd +\end_inset + + class can be used to perform principal component analysis +\begin_inset Index idx +status open + +\begin_layout Plain Layout +principal component analysis +\end_layout + +\end_inset + + (PCA) on a Table. + Note: the +\begin_inset Quotes eld +\end_inset + +Pca +\begin_inset Quotes erd +\end_inset + + class should not be confused with the +\begin_inset Quotes eld +\end_inset + + +\family typewriter +\color gray +pca +\family default +\color inherit + +\begin_inset Quotes erd +\end_inset + + function from the statistical toolbox from Mathworks. + +\end_layout + +\begin_layout Subsection +Principles +\end_layout + +\begin_layout Standard +Before analysis, the values of each column are centered. + The Pca can be scaled (default) or not. + When the Pca is scaled, the (centered) values of each column are divided + by the standard deviation of the column. + Therefore, each column has mean equal to 0 and standard deviation equal + to 1. + In most cases, Pca are performed using scaling. + Non-scaled Pca may be of interest for data tables corresponding to spectra, + or more generally for data where the column correspond to same measurement. +\end_layout + +\begin_layout Standard +The results of a PCA are grouped within the properties of the Pca class. + Several methods are provided to quickly display the results annotated with + relevant information such as inertia coefficients, row or columns names... +\end_layout + +\begin_layout Subsection +Associated plots +\end_layout + +\begin_layout Itemize +the scree plot +\begin_inset Index idx +status open + +\begin_layout Plain Layout +scree plot (PCA) +\end_layout + +\end_inset + +: displays the eigen values, or the relative proportion of the eigen values, + depending on the component index. +\end_layout + +\begin_layout Itemize +the score plot +\begin_inset Index idx +status open + +\begin_layout Plain Layout +score plot (PCA) +\end_layout + +\end_inset + +: 2D (or 3D) scatter plot of the individuals in the space of 2 or 3 principal + components. + This can be used to better identify potential clusters or outliers. +\end_layout + +\begin_layout Itemize +the loading plot +\begin_inset Index idx +status open + +\begin_layout Plain Layout +loadings plot (PCA) +\end_layout + +\end_inset + +: 2D (or 3D) scatter plot of the original variables or features in the space + of 2 or 3 principal components. + This can be used to identify the relative contribution of the original + variables to each reduced dimension. +\end_layout + +\begin_layout Itemize +the correlation circles +\begin_inset Index idx +status open + +\begin_layout Plain Layout +correlation circles (PCA) +\end_layout + +\end_inset + +: an alternative to the loading plot that normalizes the variables according + to their correlation coefficient. +\end_layout + +\begin_layout Subsection +Usage +\end_layout + +\begin_layout Standard +The principal component analysis is computed when creating the class. + A typical usage is as follow: +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> tab = Table.read(...); +\end_layout + +\begin_layout Plain Layout + +>> resPCA = Pca(tab); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The default behaviour is to perform a scaled analysis (each column is divided + by its standard deviation) and to display several figures: +\end_layout + +\begin_layout Itemize +the scree plot +\end_layout + +\begin_layout Itemize +the scatter plot of scores on the spaces defined by principal components + 1 and 2, and 3 and 4 +\end_layout + +\begin_layout Itemize +the loading plot of variables on the spaces defined by principal components + 1 and 2, and 3 and 4 +\end_layout + +\begin_layout Itemize +the correlation circles of variables on the spaces defined by principal + components 1 and 2, and 3 and 4 +\end_layout + +\begin_layout Subsection +Example on the cities data set +\end_layout + +\begin_layout Standard +An example using a data set provided with Matlab is given below. + An excerpt of the results is presented on Figure +\begin_inset CommandInset ref +LatexCommand ref +reference "fig:PCA-cities-results" + +\end_inset + +. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> % Reading and converting data +\end_layout + +\begin_layout Plain Layout + +>> load cities.mat +\end_layout + +\begin_layout Plain Layout + +>> cities = Table.create(ratings, strtrim(cellstr(categories))', strtrim(cellstr( +names))); +\end_layout + +\begin_layout Plain Layout + +>> cities(1:5,1:7) +\end_layout + +\begin_layout Plain Layout + +ans = +\end_layout + +\begin_layout Plain Layout + + climate housing health crime transportation + education arts +\end_layout + +\begin_layout Plain Layout + +Abilene, TX 521 6200 237 923 + 4031 2757 996 +\end_layout + +\begin_layout Plain Layout + +Akron, OH 575 8138 1656 886 + 4883 2438 5564 +\end_layout + +\begin_layout Plain Layout + +Albany, GA 468 7339 618 970 + 2531 2560 237 +\end_layout + +\begin_layout Plain Layout + +Albany-Troy, NY 476 7908 1431 610 + 6883 3399 4655 +\end_layout + +\begin_layout Plain Layout + +Albuquerque, NM 659 8393 1853 1483 + 6558 3026 4496 +\end_layout + +\begin_layout Plain Layout + +>> Pca(cities); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Float figure +wide false +sideways false +status open + +\begin_layout Plain Layout +\align center +\begin_inset Float figure +wide false +sideways false +status collapsed + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/pca/cities-pca.ev.png + lyxscale 50 + width 45text% + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +Scree Plot +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Float figure +wide false +sideways false +status collapsed + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/pca/cities-pca.sc12.png + lyxscale 50 + width 45text% + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +Score Plot +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\align center +\begin_inset Float figure +wide false +sideways false +status collapsed + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/pca/cities-pca.ld12.png + lyxscale 50 + width 45text% + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +Loadings Plot +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Float figure +wide false +sideways false +status collapsed + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/pca/cities-pca.cc12.png + lyxscale 50 + width 45text% + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +Circle of Correlations +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +\begin_inset CommandInset label +LatexCommand label +name "fig:PCA-cities-results" + +\end_inset + +Result plots of principal component analysis on +\begin_inset Quotes eld +\end_inset + +cities +\begin_inset Quotes erd +\end_inset + + dataset. + (a) +\begin_inset space ~ +\end_inset + +Scree plot, showing the fraction of the total inertia explained by each + principal component. + (b) +\begin_inset space ~ +\end_inset + +Scatter plot of scores on the first two principal components. + (c) +\begin_inset space ~ +\end_inset + +Loadings plot of variables in the first two principal components. + (d) +\begin_inset space ~ +\end_inset + +Circle of correlations for the first two principal components. +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Subsection +Result +\end_layout + +\begin_layout Standard +The result is an instance of the class +\begin_inset Quotes eld +\end_inset + +Pca +\begin_inset Quotes erd +\end_inset + +, with the following properties: +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +Scores the new coordinates of individuals, as a +\begin_inset Formula $n\times p$ +\end_inset + + Table +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +Loadings the loadings (or coefficients) of PCA, as a +\begin_inset Formula $p\times p$ +\end_inset + + Table +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +EigenValues values of inertia, inertia percent and cumulated inertia for + each variable, as a +\begin_inset Formula $p\times3$ +\end_inset + + Table +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +Means the mean value of each column in the original data array +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +Scalings the scaling factor associated to each column. + Usually corresponds either to the variance of each column (in case of scaled + analysis) or a row vector of ones (in Pca is not scaled) +\end_layout + +\begin_layout Standard +The result tables may be used by accessing the corresponding property in + the Pca instance: +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> iris = Table.read('fisherIris'); +\end_layout + +\begin_layout Plain Layout + +>> irisPCA = Pca(iris(:, 1:4)); +\end_layout + +\begin_layout Plain Layout + +>> % Display scatter plot along components 1 and 2 +\end_layout + +\begin_layout Plain Layout + +>> figure; plot(irisPCA.Scores(:,1), irisPCA.Scores(:,2), 'b+'); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +It is also possible to use coloration depending on a grouping factor (see + section +\begin_inset CommandInset ref +LatexCommand ref +reference "sec:Group-manipulation" +plural "false" +caps "false" +noprefix "false" + +\end_inset + +): +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> figure; scatterGroup(irisPCA.Scores(:, 1), irisPCA.Scores(:, 2), iris('Species' +)); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Float figure +wide false +sideways false +status open + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/pca/iris_pca_sc12_bPlus.png + lyxscale 50 + height 5cm + +\end_inset + + +\begin_inset Graphics + filename images/pca/iris_pca_sc12_groupSpecies.png + lyxscale 50 + height 5cm + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +\begin_inset CommandInset label +LatexCommand label +name "fig:iris-pca-scorePlot-scorePlotByGroup" + +\end_inset + +Various displays of PCA results. +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Subsection +Options +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +scale boolean flag indicating whether the data array should be scaled (the + default) or not. + If data are scaled, they are divided by their standard deviation. +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +display {'on'} or 'off', specifies if figures should be displayed or not. + +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +obsNames character array with value 'on' or 'off', indicating whether row + names should be displayed on score plots, or if only dots are plotted. + Default value is 'on' if the number of observations is less than 200. +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +varNames character array with value 'on' (the default) or 'off', indicating + whether column names should be displayed on loadings plots, or if only + dots are plotted. + Default value is 'on' if the number of variables is less than 50. +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +saveResults char array with value 'on' or 'off' indicating whether the results + should be saved as text files or not. + Default is 'off'. + +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +saveFigures char array with value 'on' or 'off' indicating whether the displayed + figures should be saved or not. + Default is 'off'. +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +resultsDir character array indicating the directory to which the results + will be saved. + Default is the current directory. +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +figuresDir character array indicating the directory to which the figures + will be saved. + Default is the current directory. +\end_layout + +\begin_layout Subsection +Methods +\end_layout + +\begin_layout Standard +The Pca class provides several methods for facilitating the visualization + and the interpretation of the resulting transform: +\end_layout + +\begin_layout Minisec +screePlot +\begin_inset Index idx +status open + +\begin_layout Plain Layout +scree plot (PCA) +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Displays the scree plot of the PCA result. +\end_layout + +\begin_layout Minisec +scorePlot +\begin_inset Index idx +status open + +\begin_layout Plain Layout +score plot (PCA) +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Plots individuals in a factorial plane. +\end_layout + +\begin_layout Minisec +loadingPlot +\begin_inset Index idx +status open + +\begin_layout Plain Layout +loadings plot (PCA) +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Plots variables in a factorial plane. +\end_layout + +\begin_layout Minisec +biplot +\end_layout + +\begin_layout Standard +Biplot of a Principal Component Analysis, showing both individuals and variables + on the same plot. +\end_layout + +\begin_layout Minisec +correlationCircle +\begin_inset Index idx +status open + +\begin_layout Plain Layout +correlation circles (PCA) +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Plots correlation circle in a factorial plane. +\end_layout + +\begin_layout Minisec +save +\end_layout + +\begin_layout Standard +Saves the result of the PCA into several files. +\end_layout + +\begin_layout Minisec +disp +\end_layout + +\begin_layout Standard +Displays a summary of the principal component analysis (names and dimensions + of the various result tables). +\end_layout + +\begin_layout Minisec +isScaled +\end_layout + +\begin_layout Standard +Returns true if the PCA was performed with the +\begin_inset Quotes eld +\end_inset + +scaled +\begin_inset Quotes erd +\end_inset + + option. +\end_layout + +\begin_layout Minisec +flipAxis +\end_layout + +\begin_layout Standard +Reverses the coordinates in one of the axes of the PCA. +\end_layout + +\begin_layout Minisec +reconstruct +\end_layout + +\begin_layout Standard +Creates a synthetic data set from its coordinates in the space of loadings. +\end_layout + +\begin_layout Standard +\begin_inset Newpage newpage +\end_inset + + +\end_layout + +\begin_layout Section +Linear discriminant analysis +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +Linear discriminant analysis +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Linear discriminant analysis (LDA), or discriminant function analysis is + a generalization of Fisher's linear discriminant analysis that consists + in finding a linear combination of features that best separates two or + more classes of objects. + LDA is closely related to the analysis of variance (Section +\begin_inset CommandInset ref +LatexCommand ref +reference "sec:Analysis-of-Variance" +plural "false" +caps "false" +noprefix "false" + +\end_inset + +) and to the principal component analysis (Section +\begin_inset CommandInset ref +LatexCommand ref +reference "sec:Principal-Component-Analysis" +plural "false" +caps "false" +noprefix "false" + +\end_inset + +). +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +% read data table +\end_layout + +\begin_layout Plain Layout + +iris = Table.read('fisherIris.txt'); +\end_layout + +\begin_layout Plain Layout + +\end_layout + +\begin_layout Plain Layout + +% separate numerical and categorical data +\end_layout + +\begin_layout Plain Layout + +data = iris(:, 1:4); +\end_layout + +\begin_layout Plain Layout + +species = iris('Species'); +\end_layout + +\begin_layout Plain Layout + +\end_layout + +\begin_layout Plain Layout + +% Apply Principal Component Analysis on the quantitative variables +\end_layout + +\begin_layout Plain Layout + +irisLda = LinearDiscriminantAnalysis(data, species); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Float figure +wide false +sideways false +status open + +\begin_layout Plain Layout +\begin_inset Graphics + filename images/lda_iris/demo_LDA_iris_01.png + width 32text% + +\end_inset + + +\begin_inset Graphics + filename images/lda_iris/demo_LDA_iris_02.png + width 32text% + +\end_inset + + +\begin_inset Graphics + filename images/lda_iris/demo_LDA_iris_03.png + width 32text% + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +Result of Linear Discriminant Analysis applied on iris data set. + The three graphs display the scree plot of the eigen values, the score + plot of the individuals in the transformed space, and the loadings plot + of the features in the transformed space. +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Newpage newpage +\end_inset + + +\end_layout + +\begin_layout Section +Non-negative matrix factorisation +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +Non-negative matrix factorisation +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The non-negative matrix factorisation is an alternative to the Principal + Component Analysis that computes a factorisation of the (non-negative) + input matrix +\begin_inset Formula $\boldsymbol{X}$ +\end_inset + + into two matrices +\begin_inset Formula $\boldsymbol{W}$ +\end_inset + + and +\begin_inset Formula $\boldsymbol{H}$ +\end_inset + + such that both +\begin_inset Formula $\boldsymbol{W}$ +\end_inset + + and +\begin_inset Formula $\boldsymbol{H}$ +\end_inset + + contains only non negative coefficients. + This may be useful for interpreting features whose domain of definition + is positive (age, weight, counts...). +\end_layout + +\begin_layout Standard +\begin_inset Float figure +wide false +sideways false +status open + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename matlab/nmf/nmf_iris_biplot.png + lyxscale 50 + width 70text% + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +Result of non-negative matrix factorisation represented as a biplot. +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The non-negative matrix factorisation can be computed on a Table object + by using the +\family typewriter +\color gray +nmf +\begin_inset Index idx +status open + +\begin_layout Plain Layout +nmf +\end_layout + +\end_inset + + +\family default +\color inherit + method, which is simply a wrapper to the 'nnmf' function from the Statistics + Toolbox. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> iris = Table.read('fisherIris'); +\end_layout + +\begin_layout Plain Layout + +>> [W, H] = nmf(iris(:,1:4), 2); +\end_layout + +\begin_layout Plain Layout + +>> % use Matlab 'biplot' function to represent the results +\end_layout + +\begin_layout Plain Layout + +>> biplot(H.Data', 'Scores', W.Data, 'varLabels', H.ColNames); +\end_layout + +\begin_layout Plain Layout + +>> axis equal; axis([0 1.2 0 1.0]); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Chapter +Analysis of variance (ANOVA) +\end_layout + +\begin_layout Standard +\begin_inset CommandInset label +LatexCommand label +name "sec:Analysis-of-Variance" + +\end_inset + + +\end_layout + +\begin_layout Standard +The +\begin_inset Quotes eld +\end_inset + +Anova +\begin_inset Quotes erd +\end_inset + + class performs an analysis of variance +\begin_inset Index idx +status open + +\begin_layout Plain Layout +analysis of variance +\end_layout + +\end_inset + + on a data set, and stores the results in the resulting object instance. + +\end_layout + +\begin_layout Standard +The Anova class mainly consists in an encapsulation of the anovan function, + that annotates output results with the names of observations or factors, + and that provides utility methods for exploring anova results. +\end_layout + +\begin_layout Standard +\begin_inset Note Note +status open + +\begin_layout Plain Layout +add example with ttest2? +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Section +Usage +\end_layout + +\begin_layout Standard +The syntax for creating an Anova is to call the +\begin_inset Quotes eld +\end_inset + +Anova +\begin_inset Quotes erd +\end_inset + + command, with at least two arguments: +\end_layout + +\begin_layout Itemize +the one-column Table containing the data +\end_layout + +\begin_layout Itemize +the Table containing the factors to be considered in the model +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> RES = Anova(DATA, GROUP); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Additional arguments can be specified as parameter name-value pairs: +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +display the flag used to display ('on') or not ('off') the frame containing + summary results of the anova. + Default is 'on'. +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +model the type of model to use, specified as for the anovan function. +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +random a vector of indices indicating which grouping variables are random + effects (all are fixed by default) +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +nested a binary matrix specifying the nesting relationships among the grouping + variables +\end_layout + +\begin_layout Section +Simple example +\end_layout + +\begin_layout Standard +The following example performs an analysis of variance on the +\begin_inset Quotes eld +\end_inset + +SepalLength +\begin_inset Quotes erd +\end_inset + + variable from the iris dataset, using the +\begin_inset Quotes eld +\end_inset + +Species +\begin_inset Quotes erd +\end_inset + + variable as group. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> % Analysis of variance on Fisher's iris +\end_layout + +\begin_layout Plain Layout + +>> iris = Table.read('fisherIris'); +\end_layout + +\begin_layout Plain Layout + +>> res = Anova(iris('SepalLength'), iris('Species')); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The anova is summarized in a new figure, as for the classical anova function + (Figure +\begin_inset space ~ +\end_inset + + +\begin_inset CommandInset ref +LatexCommand ref +reference "fig:iris-anova-resultDialog" + +\end_inset + +). +\end_layout + +\begin_layout Standard +\begin_inset Float figure +wide false +sideways false +status open + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/anova-iris/anova-irisPL-dlg.png + lyxscale 70 + height 5cm + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +\begin_inset CommandInset label +LatexCommand label +name "fig:iris-anova-resultDialog" + +\end_inset + +Result dialog of the Anova. +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +The result is a new variable with following properties: +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +TableName the name of the data table containing the original data +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +VarName the name of the grouping variables +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +PValues the p-value for each grouping variable +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +Table a cell array containing the result of the anova +\end_layout + +\begin_layout Labeling +\labelwidthstring 00.00.0000 +Stats the +\begin_inset Quotes eld +\end_inset + +stats +\begin_inset Quotes erd +\end_inset + + results of the anovan output +\end_layout + +\begin_layout Section +Methods +\end_layout + +\begin_layout Standard +The Anova class provides several methods for facilitating the visualization + and the interpretation of the resulting analysis: +\end_layout + +\begin_layout Minisec +coefficients +\end_layout + +\begin_layout Standard +Return the coefficients computed for a group or factor. +\end_layout + +\begin_layout Minisec +plotCoefficients +\end_layout + +\begin_layout Standard +Display the levels of fitted values for grouping variables. +\end_layout + +\begin_layout Minisec +residuals +\begin_inset Index idx +status open + +\begin_layout Plain Layout +residuals +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Return the residuals of the model fitting. +\end_layout + +\begin_layout Minisec +plotResidual +\end_layout + +\begin_layout Standard +Display the residuals of the model fitting. + This can be useful for identifying outliers or biases in the model. +\end_layout + +\begin_layout Standard +The Figure +\begin_inset space ~ +\end_inset + + +\begin_inset CommandInset ref +LatexCommand ref +reference "fig:iris-anova-residuals" + +\end_inset + + shows some example of residuals display for an Anova on the petal length + of iris data set. + It can be noticed that the variability slightly differs depending on the + species, and that the homoscedasticity assumption is not be totally fulfilled. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> iris = Table.read('fisherIris.txt'); +\end_layout + +\begin_layout Plain Layout + +>> anovaPL = Anova(iris('PetalLength'), iris('Species')); +\end_layout + +\begin_layout Plain Layout + +>> coefficients(anovaPL, 'Species') +\end_layout + +\begin_layout Plain Layout + +ans = +\end_layout + +\begin_layout Plain Layout + + PetalLength +\end_layout + +\begin_layout Plain Layout + +Setosa 1.462 +\end_layout + +\begin_layout Plain Layout + +Versicolor 4.26 +\end_layout + +\begin_layout Plain Layout + +Virginica 5.552 +\end_layout + +\begin_layout Plain Layout + +>> plotResiduals(anovaPL) +\end_layout + +\begin_layout Plain Layout + +>> figure; plot(iris('Species'), residuals(anovaPL), 'bs'); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Float figure +wide false +sideways false +status open + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/anova-iris/anova-irisPL-resids.png + lyxscale 50 + height 5cm + +\end_inset + + +\begin_inset Graphics + filename images/anova-iris/anova-irisPL-residsBySpecies.png + lyxscale 50 + height 5cm + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +\begin_inset CommandInset label +LatexCommand label +name "fig:iris-anova-residuals" + +\end_inset + +Displaying the residuals of an Anova on petal length. + Left: residuals in the order of observation. + Right: residuals ordered by factor level. +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Chapter +Clustering and statistical learning +\end_layout + +\begin_layout Standard +The library provides some functionality for cluster analysis and machine + learning. +\end_layout + +\begin_layout Section +K-means +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +kmeans +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +K-means clustering is a popular method for cluster analysis in data mining. + It consits in computing a partition of +\begin_inset Formula $n$ +\end_inset + + observations into +\begin_inset Formula $k$ +\end_inset + + clusters in which each observation belongs to the cluster with the nearest + mean or centroid, serving as a prototype of the cluster. + +\end_layout + +\begin_layout Standard +The +\series bold +kmeans +\series default + function of the MatStats library simply overloads the kmeans function of + statistics toolbox, and returns the result in Table instance(s). + The first output correspond to the index of the cluster each observation + is classified, as a +\begin_inset Formula $n\times1$ +\end_inset + + table. + The second (optional) output corresponds to the coordinates of the centroids, + as a +\begin_inset Formula $k\times p$ +\end_inset + + table, where +\begin_inset Formula $p$ +\end_inset + + is the number of features. +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +% read data table +\end_layout + +\begin_layout Plain Layout + +iris = Table.read('fisherIris.txt'); +\end_layout + +\begin_layout Plain Layout + +\end_layout + +\begin_layout Plain Layout + +% keep only numerical data +\end_layout + +\begin_layout Plain Layout + +data = iris(:, 1:4); +\end_layout + +\begin_layout Plain Layout + +\end_layout + +\begin_layout Plain Layout + +% Apply k-means, and returns both cluster indices and centroid +\end_layout + +\begin_layout Plain Layout + +[km3, centroids] = kmeans(data, 3); +\end_layout + +\begin_layout Plain Layout + +\end_layout + +\begin_layout Plain Layout + +% display result +\end_layout + +\begin_layout Plain Layout + +figure; set(gca, 'fontsize', 14); hold on; +\end_layout + +\begin_layout Plain Layout + +hs = scatterGroup(data(:,3), data(:,4), km3); +\end_layout + +\begin_layout Plain Layout + +hc = plot(centroids.Data(:,3)', centroids.Data(:,4)', 'k*'); +\end_layout + +\begin_layout Plain Layout + +legend([hs ; hc], {'Cluster 1', 'Cluster 2', 'Cluster 3', 'Centroids'}, + 'Location', 'NorthWest'); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Float figure +wide false +sideways false +status open + +\begin_layout Plain Layout +\align center +\begin_inset Graphics + filename images/kmeans/demo_kmeans_iris_01.png + width 45text% + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +\begin_inset CommandInset label +LatexCommand label +name "fig:kmeans-iris" + +\end_inset + +Result of the kmeans algorithm applied on the iris data set. +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Section +Hierarchical Cluster Analysis +\end_layout + +\begin_layout Standard +\begin_inset CommandInset label +LatexCommand label +name "subsec:HierarchicalClusterAnalysis" + +\end_inset + + +\begin_inset Index idx +status open + +\begin_layout Plain Layout +cluster +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Currently implemented through the +\begin_inset Quotes eld +\end_inset + +cluster +\begin_inset Quotes erd +\end_inset + + method of the Table class, which is mostly a wrapper for the +\begin_inset Quotes eld +\end_inset + +clusterdata +\begin_inset Quotes erd +\end_inset + + function from the Statistics Toolbox. +\end_layout + +\begin_layout Standard +\begin_inset Note Note +status open + +\begin_layout Section +Management of spectra data sets +\end_layout + +\begin_layout Plain Layout +This section describes the application of the MatStats library for the investiga +tion of spectra data. + In such cases, the features of the data sets typically corresponds to wavelengt +hs, frequencies, or more generally to a continuous variable. + Several functions can be otpiized to facilitate the interpretation of spectral + data. +\end_layout + +\begin_layout Subsection +Representation of spectra using Table class +\end_layout + +\begin_layout Plain Layout +Spectra data sets can be stored as Table instances. + In order to facilitate the interpretation, it is convenient to enforce + a numerical representation of the spectral axis. + This can be done by explicitely creating the Axis object for the second + dimension. + The following example load spectra data, and convert them to Table. +\end_layout + +\begin_layout Plain Layout +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +% load data into workspace +\end_layout + +\begin_layout Plain Layout + +load spectra +\end_layout + +\begin_layout Plain Layout + +% convert NIR data to Table object +\end_layout + +\begin_layout Plain Layout + +tab = Table(NIR); +\end_layout + +\begin_layout Plain Layout + +% specify meta-data for wavelength axis (second dimension) +\end_layout + +\begin_layout Plain Layout + +tab.Axes{2} = table.axis.NumericalAxis('WaveLengths (nm)', 900:2:1700); +\end_layout + +\begin_layout Plain Layout + +tab.PlotAxis = 2; +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +When plotting functions are called, the data set is automatically represented + using curves. +\end_layout + +\begin_layout Plain Layout +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +% display spectra data +\end_layout + +\begin_layout Plain Layout + +figure; +\end_layout + +\begin_layout Plain Layout + +plot(tab); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +[Figure Plot] +\end_layout + +\begin_layout Plain Layout +The readSpectra method allows to quickly import a data file where the columns + represents frequencies or wavelength. +\end_layout + +\begin_layout Plain Layout +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +tab = Table.readSpectra('spectraFile.csv'); +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Subsection +Dimensionality reduction +\end_layout + +\begin_layout Plain Layout +Dimensionality reduction can be performed on spectra data sets as for classical + data sets. + One noticeable difference is that usually, the features are not normalized + by the variance prior to processing. +\end_layout + +\begin_layout Plain Layout +It is more convenient to represent the loadings with curves, using the numerical + axis as x-data. +\end_layout + +\begin_layout Plain Layout +[Figure Loadings] +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Newpage newpage +\end_inset + + +\end_layout + +\begin_layout Chapter +\start_of_appendix +Mathematical operators for Tables +\end_layout + +\begin_layout Standard +Most array operators have been overloaded for the Table class. + They are recalled here for convenience. +\end_layout + +\begin_layout Section +Arithmetic operators +\end_layout + +\begin_layout Standard +The following methods operate on numerical Tables. + Most of them can also be obtained through the summary method (section +\begin_inset CommandInset ref +LatexCommand ref +reference "op:Summary" +plural "false" +caps "false" +noprefix "false" + +\end_inset + +). + Simple example: +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> iris = Table.read('fisherIris.txt'); +\end_layout + +\begin_layout Plain Layout + +>> mean(iris(:,1:4)) +\end_layout + +\begin_layout Plain Layout + +ans = +\end_layout + +\begin_layout Plain Layout + + SepalLength SepalWidth PetalLength PetalWidth +\end_layout + +\begin_layout Plain Layout + + ----------- ---------- ----------- ---------- +\end_layout + +\begin_layout Plain Layout + +mean 5.8433 3.0573 3.758 1.1993 +\end_layout + +\begin_layout Plain Layout + +>> min(iris(:,1:4)) +\end_layout + +\begin_layout Plain Layout + +ans = +\end_layout + +\begin_layout Plain Layout + + SepalLength SepalWidth PetalLength PetalWidth +\end_layout + +\begin_layout Plain Layout + + ----------- ---------- ----------- ---------- +\end_layout + +\begin_layout Plain Layout + +min 4.3 2 1 0.1 +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Minisec +mean +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +mean +\end_layout + +\end_inset + +Computes the mean of values within each column and returns a new Table with + one row. +\end_layout + +\begin_layout Minisec +sum +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +sum +\end_layout + +\end_inset + +Computes the sum of values within each column and returns a new Table with + one row. +\end_layout + +\begin_layout Minisec +cumsum +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +cumsum +\end_layout + +\end_inset + +Computes the cumulative sum of values within each column. + Returns a new Table with the same size as the original Table. +\end_layout + +\begin_layout Minisec +diff +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +diff +\end_layout + +\end_inset + +Overload the +\begin_inset Quotes eld +\end_inset + +diff +\begin_inset Quotes erd +\end_inset + + operator for numerical Table. +\end_layout + +\begin_layout Minisec +min +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +min +\end_layout + +\end_inset + +Computes the minimum of values within each column and returns a new Table + with one row. +\end_layout + +\begin_layout Minisec +max +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +max +\end_layout + +\end_inset + +Computes the maximum of values within each column and returns a new Table + with one row. +\end_layout + +\begin_layout Minisec +median +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +median +\end_layout + +\end_inset + +Computes median values within each column and returns a new Table with one + row. +\end_layout + +\begin_layout Section +Binary operators +\end_layout + +\begin_layout Standard +The following methods operate on numerical Tables. +\end_layout + +\begin_layout Minisec +plus +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +plus +\end_layout + +\end_inset + +Adds the values of two Tables with same size, or adds a scalar value. +\end_layout + +\begin_layout Minisec +minus +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +minus +\end_layout + +\end_inset + +Subtracts the values of two Tables with same size, or subtracts a scalar + value. +\end_layout + +\begin_layout Minisec +times, mtimes +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +times +\end_layout + +\end_inset + +Multiplies the values of two Tables with same size, or mutliplies by a scalar + value. +\end_layout + +\begin_layout Minisec +mrdivides +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +mrdivides +\end_layout + +\end_inset + +Divides the values of two Tables with same size, or divides by a scalar + value. +\end_layout + +\begin_layout Minisec +power, mpower +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +power +\end_layout + +\end_inset + +Overload the mpower operator for Table objects. +\end_layout + +\begin_layout Section +Trigonometric Functions +\end_layout + +\begin_layout Standard +Trigonometric functions results in a new Table with the same size as the + original Table. +\end_layout + +\begin_layout Minisec +sqrt +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +sqrt +\end_layout + +\end_inset + +Computes the square root of each value within a numeric Table. +\end_layout + +\begin_layout Minisec +nthroot +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +nthroot +\end_layout + +\end_inset + +Computes the n-th root of each value within a numeric Table. +\end_layout + +\begin_layout Minisec +log +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +log +\end_layout + +\end_inset + +Computes the natural logarithm of each value within a numeric Table. +\end_layout + +\begin_layout Minisec +log2 +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +log2 +\end_layout + +\end_inset + +Computes the base-2 logarithm of each value within a numeric Table. +\end_layout + +\begin_layout Minisec +log10 +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +log10 +\end_layout + +\end_inset + +Computes the base-10 logarithm of each value within a numeric Table. +\end_layout + +\begin_layout Minisec +exp +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +exp +\end_layout + +\end_inset + +Computes the exponential of each value within a numeric Table. +\end_layout + +\begin_layout Section +Logical operators +\end_layout + +\begin_layout Standard +Logical operators have also been overloaded, allowing to use Table columns + as logical variables. + Example of use: +\end_layout + +\begin_layout Standard +\begin_inset listings +inline false +status open + +\begin_layout Plain Layout + +>> iris = Table.read('fisherIris.txt'); +\end_layout + +\begin_layout Plain Layout + +>> sepalLength = iris('SepalLength'); +\end_layout + +\begin_layout Plain Layout + +>> sum(sepalLength > 5 & sepalLength < 6) +\end_layout + +\begin_layout Plain Layout + +ans = +\end_layout + +\begin_layout Plain Layout + + SepalLength>5&SepalLength<6 +\end_layout + +\begin_layout Plain Layout + + --------------------------- +\end_layout + +\begin_layout Plain Layout + +sum 51 +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Minisec +eq ( +\begin_inset Quotes eld +\end_inset + +== +\begin_inset Quotes erd +\end_inset + +) +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +eq +\end_layout + +\end_inset + +Equality operator for Tables. +\end_layout + +\begin_layout Minisec +ne ( +\begin_inset Quotes eld +\end_inset + +~= +\begin_inset Quotes erd +\end_inset + +) +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +ne +\end_layout + +\end_inset + +Inequality operator for Tables. +\end_layout + +\begin_layout Minisec +ge ( +\begin_inset Quotes eld +\end_inset + +>= +\begin_inset Quotes erd +\end_inset + +) +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +ge +\end_layout + +\end_inset + +Overload the +\begin_inset Quotes eld +\end_inset + +greater than or equal +\begin_inset Quotes erd +\end_inset + + operator for Tables. +\end_layout + +\begin_layout Minisec +gt ( +\begin_inset Quotes eld +\end_inset + +> +\begin_inset Quotes erd +\end_inset + +) +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +gt +\end_layout + +\end_inset + +Overload the +\begin_inset Quotes eld +\end_inset + +greater than +\begin_inset Quotes erd +\end_inset + + operator for Tables. +\end_layout + +\begin_layout Minisec +le ( +\begin_inset Quotes eld +\end_inset + +<= +\begin_inset Quotes erd +\end_inset + +) +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +le +\end_layout + +\end_inset + +Overload the +\begin_inset Quotes eld +\end_inset + +lesser than or equal +\begin_inset Quotes erd +\end_inset + + operator for Tables. +\end_layout + +\begin_layout Minisec +lt ( +\begin_inset Quotes eld +\end_inset + +< +\begin_inset Quotes erd +\end_inset + +) +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +lt +\end_layout + +\end_inset + +Overload the +\begin_inset Quotes eld +\end_inset + +lesser than +\begin_inset Quotes erd +\end_inset + + operator for Tables. +\end_layout + +\begin_layout Section +Comparison operators +\end_layout + +\begin_layout Minisec +and ( +\begin_inset Quotes eld +\end_inset + +& +\begin_inset Quotes erd +\end_inset + +) +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +and +\end_layout + +\end_inset + +Overload the logical +\begin_inset Quotes eld +\end_inset + +and +\begin_inset Quotes erd +\end_inset + + operator for Tables. +\end_layout + +\begin_layout Minisec +or ( +\begin_inset Quotes eld +\end_inset + +| +\begin_inset Quotes erd +\end_inset + +) +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +or +\end_layout + +\end_inset + +Overload the logical +\begin_inset Quotes eld +\end_inset + +or +\begin_inset Quotes erd +\end_inset + + operator for Tables. +\end_layout + +\begin_layout Minisec +not ( +\begin_inset Quotes eld +\end_inset + +~ +\begin_inset Quotes erd +\end_inset + +) +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +not +\end_layout + +\end_inset + +Overload the logical +\begin_inset Quotes eld +\end_inset + +not +\begin_inset Quotes erd +\end_inset + + operator for Tables. +\end_layout + +\begin_layout Minisec +xor +\end_layout + +\begin_layout Standard +\begin_inset Index idx +status open + +\begin_layout Plain Layout +xor +\end_layout + +\end_inset + +Overload the logical +\begin_inset Quotes eld +\end_inset + +exclusive or +\begin_inset Quotes erd +\end_inset + + operator for Tables. +\end_layout + +\begin_layout Chapter +Correspondencies with Matlab functions +\end_layout + +\begin_layout Standard +Table +\begin_inset space ~ +\end_inset + + +\begin_inset CommandInset ref +LatexCommand ref +reference "tab:Correspondences-IO" +plural "false" +caps "false" +noprefix "false" + +\end_inset + + provides correspondencies for Matlab native functions. +\end_layout + +\begin_layout Standard +\begin_inset Float table +wide false +sideways false +status open + +\begin_layout Plain Layout +\begin_inset Tabular + + + + + + + + +\begin_inset Text + +\begin_layout Plain Layout +Matlab +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +Image class +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +Notes +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +Page +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +plot +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +plot, linePlot +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +plot method dispatch processing to linePlot, stemPlot, barPlot or stairStepsPlot. +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset CommandInset ref +LatexCommand pageref +reference "sec:Plotting" +plural "false" +caps "false" +noprefix "false" + +\end_inset + + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +bar +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +barPlot +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset CommandInset ref +LatexCommand pageref +reference "sec:Plotting" +plural "false" +caps "false" +noprefix "false" + +\end_inset + + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +stem +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +stemPlot +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset CommandInset ref +LatexCommand pageref +reference "sec:Plotting" +plural "false" +caps "false" +noprefix "false" + +\end_inset + + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +stairs +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +stairStepsPlot +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset CommandInset ref +LatexCommand pageref +reference "sec:Plotting" +plural "false" +caps "false" +noprefix "false" + +\end_inset + + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +crosstab +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +crossTable +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +Cross-tabulation, can be used for confusion matrix. +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + + + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption Standard + +\begin_layout Plain Layout +\begin_inset CommandInset label +LatexCommand label +name "tab:Correspondences-IO" + +\end_inset + +Correspondencies from Matlab functions to corresponding Table methods. +\end_layout + +\end_inset + + +\begin_inset Note Note +status open + +\begin_layout Plain Layout +split native Matlab and statistics toolbox? +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset CommandInset index_print +LatexCommand printindex +type "idx" +name "Index" +literal "true" + +\end_inset + + +\end_layout + +\end_body +\end_document diff --git a/doc/matStats-manual/matlab/anova-iris/anovaIris.m b/doc/matStats-manual/matlab/anova-iris/anovaIris.m new file mode 100644 index 0000000..92ed740 --- /dev/null +++ b/doc/matStats-manual/matlab/anova-iris/anovaIris.m @@ -0,0 +1,41 @@ +%ANOVAIRIS Performs sample Anova on Iris data set +% +% output = anovaIris(input) +% +% Example +% anovaIris +% +% See also +% + +% ------ +% Author: David Legland +% e-mail: david.legland@inra.fr +% Created: 2017-07-19, using Matlab 9.1.0.441655 (R2016b) +% Copyright 2017 INRA - Cepia Software Platform. + +% Analysis of variance on Fisher's iris +iris = Table.read('fisherIris'); +anovaPL = Anova(iris('PetalLength'), iris('Species')); + +%% display fitted coefficients +coefficients(anovaPL, 'Species') +% ans = +% PetalLength +% Setosa 1.462 +% Versicolor 4.26 +% Virginica 5.552 + + +%% Display residuals + +plotResiduals(anovaPL); +print(gcf, 'anova-irisPL-resids.png', '-dpng'); + +%% Display residual by factor level + +figure; set(gca, 'fontsize', 14); +plot(iris('Species'), residuals(anovaPL), 'bs'); +hold on; +plot([.5 3.5], [0 0], 'k-'); +print(gcf, 'anova-irisPL-residsBySpecies.png', '-dpng'); diff --git a/doc/matStats-manual/matlab/nmf/nmf_iris.m b/doc/matStats-manual/matlab/nmf/nmf_iris.m new file mode 100644 index 0000000..d9356b0 --- /dev/null +++ b/doc/matStats-manual/matlab/nmf/nmf_iris.m @@ -0,0 +1,24 @@ +%NMF_IRIS One-line description here, please. +% +% output = nmf_iris(input) +% +% Example +% nmf_iris +% +% See also +% + +% ------ +% Author: David Legland +% e-mail: david.legland@inrae.fr +% INRAE - BIA Research Unit - BIBS Platform (Nantes) +% Created: 2020-12-22, using Matlab 9.8.0.1323502 (R2020a) +% Copyright 2020 INRAE. + +iris = Table.read('fisherIris'); +[W, H] = nmf(iris(:,1:4), 2); +% use Matlab 'biplot' function to represent the results +biplot(H.Data', 'Scores', W.Data, 'varLabels', H.ColNames); +axis equal; axis([0 1.2 0 1.0]); + +print(gcf, 'nmf_iris_biplot.png', '-dpng'); diff --git a/doc/matStats-manual/matlab/pca-cities/pcaCities.m b/doc/matStats-manual/matlab/pca-cities/pcaCities.m new file mode 100644 index 0000000..2d814d5 --- /dev/null +++ b/doc/matStats-manual/matlab/pca-cities/pcaCities.m @@ -0,0 +1,27 @@ +%PCACITIES One-line description here, please. +% +% output = pcaCities(input) +% +% Example +% pcaCities +% +% See also +% + +% ------ +% Author: David Legland +% e-mail: david.legland@inra.fr +% Created: 2017-06-16, using Matlab 9.1.0.441655 (R2016b) +% Copyright 2017 INRA - Cepia Software Platform. + +% load data +load cities.mat + +% format to a data table +colNames = strtrim(cellstr(categories))'; +rowNames = strtrim(cellstr(names)); +cities = Table(ratings, colNames, rowNames); + +resPca = Pca(cities, 'scale', true, 'display', 'off'); + + diff --git a/doc/matStats-manual/matlab/pca-iris/pcaIris.m b/doc/matStats-manual/matlab/pca-iris/pcaIris.m new file mode 100644 index 0000000..a2a0682 --- /dev/null +++ b/doc/matStats-manual/matlab/pca-iris/pcaIris.m @@ -0,0 +1,16 @@ +%PCAIRIS One-line description here, please. +% +% output = pcaIris(input) +% +% Example +% pcaIris +% +% See also +% + +% ------ +% Author: David Legland +% e-mail: david.legland@inra.fr +% Created: 2017-06-16, using Matlab 9.1.0.441655 (R2016b) +% Copyright 2017 INRA - Cepia Software Platform. + diff --git a/doc/matStats-manual/matlab/plots_basic/plotDemo.m b/doc/matStats-manual/matlab/plots_basic/plotDemo.m new file mode 100644 index 0000000..0dc8de4 --- /dev/null +++ b/doc/matStats-manual/matlab/plots_basic/plotDemo.m @@ -0,0 +1,56 @@ +% Demonstration of plotting features of the MatStats library. +% +% output = plotDemo(input) +% +% Example +% plotDemo +% +% See also +% + +% ------ +% Author: David Legland +% e-mail: david.legland@inrae.fr +% INRAE - BIA Research Unit - BIBS Platform (Nantes) +% Created: 2020-07-01, using Matlab 9.8.0.1323502 (R2020a) +% Copyright 2020 INRAE. + + +%% Generate demo Table +% Generate a data table containing three columns, corresponding to a dummy +% parametrisation variable, and the result of two functions, here sine and +% cosine functions. + +% parametrisation (as vertical vector) +t = linspace(0, 2*pi, 100)'; + +% concatenate as a numerical array +data = [t cos(t) sin(t)]; + +% create the Data Table encapsulating the data. Also specifies the name to +% populate the 'title' of the figures +tab = Table(data, {'t', 'Cos(t)', 'Sin(t)'}, 'Name', 'Sine and Cosine'); + + +%% Line Plot + +figure; set(gca, 'FontSize', 14); +linePlot(tab(:,1), tab(:, 2:3)); + + +%% Bar Plot + +figure; set(gca, 'FontSize', 14); +barPlot(tab(:,1), tab(:, 2:3)); + + +%% Stair Steps Plot + +figure; set(gca, 'FontSize', 14); +stairStepsPlot(tab(:,1), tab(:, 2:3)); + + +%% Line Plot + +figure; set(gca, 'FontSize', 14); +stemPlot(tab(:,1), tab(:, 2:3)); diff --git a/doc/matStats-manual/matlab/plots_iris/demoPairPlot_iris.m b/doc/matStats-manual/matlab/plots_iris/demoPairPlot_iris.m new file mode 100644 index 0000000..7ac4829 --- /dev/null +++ b/doc/matStats-manual/matlab/plots_iris/demoPairPlot_iris.m @@ -0,0 +1,20 @@ +%DEMOPAIRPLOT_IRIS One-line description here, please. +% +% output = demoPairPlot_iris(input) +% +% Example +% demoPairPlot_iris +% +% See also +% + +% ------ +% Author: David Legland +% e-mail: david.legland@inrae.fr +% INRAE - BIA Research Unit - BIBS Platform (Nantes) +% Created: 2020-12-22, using Matlab 9.8.0.1323502 (R2020a) +% Copyright 2020 INRAE. + +iris = Table.read('fisherIris'); +figure; pairPlot(iris(:,1:4), iris(:,5)); +print(gcf, 'iris_pairPlot_bySpecies.png', '-dpng'); \ No newline at end of file diff --git a/doc/matStats-manual/matlab/plots_iris/iris_histogram.m b/doc/matStats-manual/matlab/plots_iris/iris_histogram.m new file mode 100644 index 0000000..33d18fb --- /dev/null +++ b/doc/matStats-manual/matlab/plots_iris/iris_histogram.m @@ -0,0 +1,23 @@ +%IRIS_HISTOGRAM One-line description here, please. +% +% output = iris_histogram(input) +% +% Example +% iris_histogram +% +% See also +% + +% ------ +% Author: David Legland +% e-mail: david.legland@inrae.fr +% INRAE - BIA Research Unit - BIBS Platform (Nantes) +% Created: 2020-12-22, using Matlab 9.8.0.1323502 (R2020a) +% Copyright 2020 INRAE. + +iris = Table.read('fisherIris'); + +figure; +histogram(iris('PetalLength'), 30); + +print(gcf, 'iris_histogram_n30.png', '-dpng'); \ No newline at end of file diff --git a/doc/matStats-manual/matlab/plots_iris/makeIrisFigures.m b/doc/matStats-manual/matlab/plots_iris/makeIrisFigures.m new file mode 100644 index 0000000..516ecf3 --- /dev/null +++ b/doc/matStats-manual/matlab/plots_iris/makeIrisFigures.m @@ -0,0 +1,92 @@ +%% Generate figures for the Table class manual +% +% Usage: +% demoTable +% +% started 2017-05-31 + +%% Read and display data + +% Read data from a csv file (several options can be specified) +tab = Table.read('fisherIris.txt'); + +% display a part of the table on the console +disp(tab(1:5, :)); + +% Or display summary of the data, like in R +summary(tab); + +% display the table in a frame +show(tab); + +%% Histograms + +% histogram of petal length. Columns can be indexed by their name. +figure; +histogram(tab('PetalLength'), 30); +print(gcf, 'iris_petalLength_hist.png', '-dpng'); + + +% plot values of petal length +figure; +plot(tab('PetalLength'), 'bs'); +print(gcf, 'iris_plotPetalLength_sq.png', '-dpng'); + +% plot petal width against petal length +figure; +plot(tab('PetalLength'), tab('PetalWidth'), 'b*'); +print(gcf, 'iris_petalWidth_petalLength_star.png', '-dpng'); + + +%% Box and violin plots + +% box plot of the quantitative variables +figure; +boxplot(tab(:,1:4)); +print(gcf, 'iris_boxPlot.png', '-dpng'); + +figure; +violinPlot(tab(:,1:4)); +print(gcf, 'iris_violinPlot.png', '-dpng'); + + +%% Management of groups + +% scatter plot using groups +figure; +scatterGroup(tab('PetalLength'), tab('PetalWidth'), tab('Species'), ... + 'Envelope', 'InertiaEllipse', ... + 'LegendLocation', 'NorthWest'); + +% Compute the mean of each group +meanByGroup = aggregate(tab(:,1:4), tab('Species'), @mean); +disp(meanByGroup); + +% display as bar plot +figure; +bar(meanByGroup'); +print(gcf, 'iris_meanByGroup_bar.png', '-dpng'); + + +%% Principal Component Analysis + +% Apply Principal Component Analysis on the quantitative variables +irisPca = Pca(tab(:, 1:4), 'display', 'off'); + +% The result is a Pca object, containing Table object for scores, loadings +% and eigen values +disp(irisPca); + +% Score plot can be displayed with automatic labeling of axes +figure; +scorePlot(irisPca, 1, 2); + +% Loadings can also be displayed with automatic labeling +figure; +loadingPlot(irisPca, 1, 2); + +% To display scores with group labelling, simply call the plot method on +% the score object stored in Pca result +figure; +scatterGroup(irisPca.Scores(:, 1), irisPca.Scores(:, 2), tab('Species'), ... + 'LegendLocation', 'NorthWest');

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