From 53192eeaa0845454018c88d02727b7f269766828 Mon Sep 17 00:00:00 2001 From: dimensio Date: Tue, 22 Aug 2023 14:09:31 +0000 Subject: [PATCH] Built site for dimensio@335a8ea --- dimensio/apple-touch-icon-120x120.png | Bin 20346 -> 20346 bytes dimensio/apple-touch-icon-152x152.png | Bin 29702 -> 29702 bytes dimensio/apple-touch-icon-180x180.png | Bin 39742 -> 39742 bytes dimensio/apple-touch-icon-60x60.png | Bin 7245 -> 7245 bytes dimensio/apple-touch-icon-76x76.png | Bin 10287 -> 10287 bytes dimensio/apple-touch-icon.png | Bin 39742 -> 39742 bytes dimensio/articles/pca.html | 48 +++++----- .../figure-html/biplot-columns-1.png | Bin 62382 -> 81197 bytes .../pca_files/figure-html/biplot-rows-1.png | Bin 68608 -> 82781 bytes .../pca_files/figure-html/contributions-1.png | Bin 19408 -> 0 bytes .../pca_files/figure-html/eigenvalues-1.png | Bin 43454 -> 51863 bytes .../pca_files/figure-html/eigenvalues-2.png | Bin 0 -> 25168 bytes .../figure-html/plot-ind-contrib-1.png | Bin 65233 -> 80842 bytes .../figure-html/plot-ind-petal-1.png | Bin 57670 -> 84569 bytes .../figure-html/plot-ind-species-1.png | Bin 48250 -> 58856 bytes .../pca_files/figure-html/plot-var-1.png | Bin 45089 -> 63871 bytes .../pca_files/figure-html/plot-var-cos2-1.png | Bin 58463 -> 81357 bytes .../pca_files/figure-html/plot-wrap-1.png | Bin 93647 -> 121066 bytes .../pca_files/figure-html/plot-wrap-2.png | Bin 99342 -> 129951 bytes dimensio/favicon-16x16.png | Bin 1455 -> 1455 bytes dimensio/favicon-32x32.png | Bin 2982 -> 2982 bytes dimensio/news/index.html | 2 +- dimensio/pkgdown.yml | 2 +- dimensio/reference/CA-class-1.png | Bin 23921 -> 24581 bytes dimensio/reference/CA-class-2.png | Bin 25944 -> 25399 bytes dimensio/reference/PCA-class.html | 34 +++---- dimensio/reference/Rplot001.png | Bin 43620 -> 41339 bytes dimensio/reference/Rplot002.png | Bin 42625 -> 43087 bytes dimensio/reference/Rplot003.png | Bin 25792 -> 25339 bytes dimensio/reference/Rplot004.png | Bin 17547 -> 17599 bytes dimensio/reference/Rplot005.png | Bin 21816 -> 21759 bytes dimensio/reference/biplot-1.png | Bin 47017 -> 44347 bytes dimensio/reference/biplot-2.png | Bin 62122 -> 61871 bytes dimensio/reference/biplot-3.png | Bin 57024 -> 50882 bytes dimensio/reference/biplot-4.png | Bin 52951 -> 52626 bytes dimensio/reference/biplot-5.png | Bin 30385 -> 29228 bytes dimensio/reference/biplot.html | 7 ++ dimensio/reference/bootstrap-1.png | Bin 90255 -> 67692 bytes dimensio/reference/bootstrap-2.png | Bin 82871 -> 63184 bytes dimensio/reference/bootstrap-3.png | Bin 76172 -> 59803 bytes dimensio/reference/bootstrap-4.png | Bin 66788 -> 50463 bytes dimensio/reference/ca-1.png | Bin 23921 -> 24581 bytes dimensio/reference/ca-2.png | Bin 25944 -> 25399 bytes .../reference/figures/README-biplot-1.png | Bin 23187 -> 23677 bytes .../reference/figures/README-plot-ind-1.png | Bin 34891 -> 33915 bytes .../reference/figures/README-plot-ind-2.png | Bin 18333 -> 19271 bytes .../reference/figures/README-plot-var-1.png | Bin 17461 -> 17440 bytes dimensio/reference/pca.html | 34 +++---- dimensio/reference/predict.html | 84 +++++++++--------- dimensio/reference/viz_individuals-1.png | Bin 71207 -> 68899 bytes dimensio/reference/viz_individuals-2.png | Bin 126267 -> 123811 bytes dimensio/reference/viz_individuals-3.png | Bin 60372 -> 56865 bytes dimensio/reference/viz_individuals-4.png | Bin 43457 -> 43350 bytes dimensio/reference/viz_individuals-5.png | Bin 54801 -> 54366 bytes dimensio/reference/viz_individuals.html | 4 +- dimensio/reference/viz_variables-1.png | Bin 71207 -> 68899 bytes dimensio/reference/viz_variables-2.png | Bin 126267 -> 123811 bytes dimensio/reference/viz_variables-3.png | Bin 60372 -> 56865 bytes dimensio/reference/viz_variables-4.png | Bin 43457 -> 43350 bytes dimensio/reference/viz_variables-5.png | Bin 54801 -> 54976 bytes dimensio/reference/viz_variables.html | 6 +- dimensio/reference/viz_wrap-1.png | Bin 115294 -> 107342 bytes dimensio/reference/wrap-1.png | Bin 115294 -> 107342 bytes dimensio/search.json | 2 +- 64 files changed, 113 insertions(+), 110 deletions(-) delete mode 100644 dimensio/articles/pca_files/figure-html/contributions-1.png create mode 100644 dimensio/articles/pca_files/figure-html/eigenvalues-2.png diff --git a/dimensio/apple-touch-icon-120x120.png b/dimensio/apple-touch-icon-120x120.png index 6719ca2333caec751a7b1802f3cb002c3df7c1d6..2c501052b7636b592d45f41ebd41d7432233cfb8 100644 GIT binary patch delta 73 zcmex0kMY+$#tBs%Vtni>zrE+OY;1D&6E!jlF*LC5@$GBB`xbMW%yTYfT_ OGCmtC^Cxrr=K}zUl^03? delta 73 zcmex0kMY+$#tBs%LIRq++A5-%8=IW{L=7!M49%=e46O`}wG9lc3=G1Z_vuf*eOOwF|;x?(>5@$GB9ARp4c&Y-YgkR OnG!Wklga02v0s> delta 71 zcmZ1i>;RKh#7GEkX>ZERwnC2C|8VrXJzU~Xk>scm3jWngf6$wsTm^Jd9l O%Ix~d**5w7tb72378rd1 delta 73 zcmdnDjcMODrU_LXLIRqC_Ntz08=Kf?i5gmj7@Ap`7+M*cYa19?85k_)nPoG1-YgkR OnM;964U^B$$_D@$-xb^d diff --git a/dimensio/articles/pca.html b/dimensio/articles/pca.html index ccbe11103..0f58f6601 100644 --- a/dimensio/articles/pca.html +++ b/dimensio/articles/pca.html @@ -166,12 +166,11 @@

Explore the results#> F3 0.1467569 3.688021 100.00000 ## Scree plot -screeplot(X, cumulative = TRUE) -

-
-## Plot variable contributions to the definition of the first two axes
+screeplot(X, cumulative = TRUE)
+
+## Plot variable contributions to the definition of the first two axes
 viz_contributions(X, margin = 2, axes = c(1, 2))
-

+

PCA biplot @@ -190,18 +189,18 @@

PCA biplot
+
 biplot(X, type = "form", label = "variables")
-

+

The covariance biplot favors the representation of the variables: the length of a vector approximates the standard deviation of the variable and the cosine of the angle formed by two vectors approximates the correlation between the two variables (Greenacre 2010). In the covariance biplot the distance between the individuals approximates the Mahalanobis distance between rows.

-
+
 biplot(X, type = "covariance", label = "variables")
-

+

Biplots have the drawbacks of their advantages: they can quickly become difficult to read as they display a lot of information at once. It may then be preferable to visualize the results for individuals and @@ -213,28 +212,28 @@

Plot PCA loadingsviz_variables() depicts the variables by rays emanating from the origin (both their lengths and directions are important to the interpretation).

-
+
 ## Plot variables factor map
 viz_variables(X)
-

+

viz_variables() allows to highlight additional information by varying different graphical elements (color, transparency, shape and size of symbols…).

-
+
 ## Highlight cos2
 viz_variables(
   x = X, 
   map_color = "cos2", 
-  col = khroma::color("YlOrBr")(12)
+  col = khroma::color("YlOrBr")(4, range = c(0.5, 1))
 )
-

+

Plot PCA scores

viz_individuals() allows to display individuals and to highlight additional information.

-
+
 ## Plot individuals and color by species
 viz_individuals(
   x = X,
@@ -243,8 +242,8 @@ 

Plot PCA scores col = khroma::color("bright")(3), # Custom color scale pch = c(15, 16, 17) # Custom symbols )

-

-
+

+
 ## Add ellipses
 viz_individuals(x = X)
 viz_tolerance(x = X, group = iris$Species, level = 0.95,
@@ -255,25 +254,26 @@ 

Plot PCA scoresviz_hull(x = X, group = iris$Species, level = 0.95, border = khroma::color("high contrast")(3))

-
+
 ## Highlight petal length
 viz_individuals(
   x = X, 
   map_color = iris$Petal.Length,
+  map_size = iris$Petal.Length,
   col = khroma::color("YlOrBr")(12), # Custom color scale
   pch = 16
 )
-

-
+

+
 ## Highlight contributions
 viz_individuals(
   x = X, 
-  map_color = "contrib", 
+  map_color = "contrib",
   map_size = "contrib",
   col = khroma::color("iridescent")(12), # Custom color scale
   pch = 16
 )
-

+

Custom plot @@ -282,7 +282,7 @@

Custom plottidy() and augment() functions allow you to extract the results as data frames and thus build custom graphs with base graphics or ggplot2.

-
+
 iris_tidy <- tidy(X, margin = 2)
 head(iris_tidy)
 #>          label component supplementary coordinate contribution        cos2
@@ -309,7 +309,7 @@ 

Custom plot#> 4 0.9977577 #> 5 0.9997491 #> 6 0.9998819

-
+
 ## Custom plot with ggplot2
 ggplot2::ggplot(data = iris_augment) +
   ggplot2::aes(x = F1, y = F2, colour = contribution) +
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index 25ac25a17..eda03bf07 100644 --- a/dimensio/news/index.html +++ b/dimensio/news/index.html @@ -60,7 +60,7 @@

New classes and methods

Bugfixes & changes

-
  • Deprecate plot_*() methods. The internal use of ggplot2 is badly interoperable or composable. This will reduces hard dependencies.
  • +
    • Deprecate plot_*() methods. The internal use of ggplot2 is poorly interoperable or composable. This will reduces hard dependencies.
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Examples ## Get row coordinates head(get_coordinates(X, margin = 1)) -#> F1 F2 .sup -#> 1 -2.021767 0.28318335 FALSE -#> 2 -2.157025 0.08662934 FALSE -#> 3 -2.325652 -0.09545154 FALSE -#> 4 -2.326543 -0.22267479 FALSE -#> 5 -2.089396 0.18490634 FALSE -#> 6 -1.568456 0.39932537 FALSE +#> F1 F2 .sup +#> 1 -2.071750 0.2984520 FALSE +#> 2 -2.207476 0.1007801 FALSE +#> 3 -2.377130 -0.0818694 FALSE +#> 4 -2.377137 -0.2107503 FALSE +#> 5 -2.139613 0.1996160 FALSE +#> 6 -1.613391 0.4135595 FALSE ## Get column coordinates head(get_coordinates(X, margin = 2)) #> F1 F2 .sup -#> Sepal.Length 0.9319426 0.3615936 FALSE -#> Petal.Length 0.9850209 -0.1140728 FALSE -#> Petal.Width 0.9668874 -0.2323128 FALSE -#> Sepal.Width -0.3398675 0.4379369 TRUE +#> Sepal.Length 0.9305217 0.3652382 FALSE +#> Petal.Length 0.9840258 -0.1174247 FALSE +#> Petal.Width 0.9664252 -0.2321061 FALSE +#> Sepal.Width -0.3170369 0.4885563 TRUE ## Get correlations between variables and dimensions head(get_correlations(X)) #> F1 F2 .sup -#> Sepal.Length 0.9319426 0.3615936 FALSE -#> Petal.Length 0.9850209 -0.1140728 FALSE -#> Petal.Width 0.9668874 -0.2323128 FALSE -#> Sepal.Width -0.3398675 0.4379369 TRUE +#> Sepal.Length 0.9305217 0.3652382 FALSE +#> Petal.Length 0.9840258 -0.1174247 FALSE +#> Petal.Width 0.9664252 -0.2321061 FALSE +#> Sepal.Width -0.3170369 0.4885563 TRUE ## Get eigenvalues get_eigenvalues(X) #> eigenvalues variance cumulative -#> F1 2.7736545 93.345469 93.34547 -#> F2 0.1977318 6.654531 100.00000 +#> F1 2.7681551 93.228491 93.22849 +#> F2 0.2010607 6.771509 100.00000