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2 | 2 |
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3 | 3 | Drs. S. Ravichandran and Randy Johnson
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4 | 4 |
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5 |
| -This workshop will cover the following topics: |
| 5 | +This workshop will cover the following topics (see [this summary](https://github.com/ravichas/TidyingData/blob/master/0-RStudio-Intro.md) of material you should be comfortable with): |
6 | 6 |
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7 |
| -- [R/RStudio Introduction](https://github.com/ravichas/TidyingData/blob/master/0-RStudio-Intro.md) |
8 |
| - - Quick tour of RStudio |
9 |
| - - Importing data using RStudio and `read_csv()` |
10 |
| - - Data types |
11 |
| - - Vector manipulation |
12 |
| - - Help! |
13 |
| - - Functions |
14 |
| - - Indexing data.frames and lists |
15 |
| - - The apply family |
16 | 7 | - [Tidyverse Basics](https://github.com/ravichas/TidyingData/blob/master/1-Tidyverse.md)
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17 |
| - - `tibble()` vs `data.frame()` |
18 |
| - - Use of `tribble()` |
19 |
| - - Manipulation of tibbles |
| 8 | + - [Tibbles](https://github.com/ravichas/TidyingData/blob/master/1-Tidyverse.md#tibbles) |
| 9 | + - [Why tibbles?](https://github.com/ravichas/TidyingData/blob/master/1-Tidyverse.md#why) |
| 10 | + - [Working with tibbles](https://github.com/ravichas/TidyingData/blob/master/1-Tidyverse.md#working) |
| 11 | + - [Examples and exercises](https://github.com/ravichas/TidyingData/blob/master/1-Tidyverse.md#eeTibbles) |
| 12 | + - [Importing Data](https://github.com/ravichas/TidyingData/blob/master/1-Tidyverse.md#import) |
| 13 | + - [Comments and metadata](https://github.com/ravichas/TidyingData/blob/master/1-Tidyverse.md#skip) |
| 14 | + - [Examples and exercises](https://github.com/ravichas/TidyingData/blob/master/1-Tidyverse.md#eeImport) |
20 | 15 | - [Dates, Times, and Regular Expressions](https://github.com/ravichas/TidyingData/blob/master/2-DateTime-RegEx.md)
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21 |
| - - Working with dates |
22 |
| - - Formats |
23 |
| - - POSIX |
24 |
| - - Conversion between different formats |
25 |
| - - Regular Expressions |
26 |
| - - What are regular expressions? |
27 |
| - - String processing |
| 16 | + - [Dates and Times](https://github.com/ravichas/TidyingData/blob/master/2-DateTime-RegEx.md#dateTime) |
| 17 | + - [Base R](https://github.com/ravichas/TidyingData/blob/master/2-DateTime-RegEx.md#dateTimeR) |
| 18 | + - [lubridate](https://github.com/ravichas/TidyingData/blob/master/2-DateTime-RegEx.md#dateTimeLub) |
| 19 | + - [Arithmetic](https://github.com/ravichas/TidyingData/blob/master/2-DateTime-RegEx.md#dateTimeMath) |
| 20 | + - [Exercises](https://github.com/ravichas/TidyingData/blob/master/2-DateTime-RegEx.md#eeDateTime) |
| 21 | + - [Regular Expressions](https://github.com/ravichas/TidyingData/blob/master/2-DateTime-RegEx.md#regEx) |
| 22 | + - [Definition](https://github.com/ravichas/TidyingData/blob/master/2-DateTime-RegEx.md#regExDefinition) |
| 23 | + - [Find and Replace](https://github.com/ravichas/TidyingData/blob/master/2-DateTime-RegEx.md#findReplace) |
| 24 | + - [Exercises](https://github.com/ravichas/TidyingData/blob/master/2-DateTime-RegEx.md#eeRegEx) |
28 | 25 | - [Reproducible Research](https://github.com/ravichas/TidyingData/blob/master/3-ReprodResearch.md)
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29 |
| - - Use of R Markdown |
30 |
| -- [Open time for questions](https://github.com/ravichas/TidyingData/blob/master/4-Practice.md) |
| 26 | + - [Use of R Markdown](https://github.com/ravichas/TidyingData/blob/master/3-ReprodResearch.md#Rmarkdown) |
| 27 | + - [R Markdown basics](https://github.com/ravichas/TidyingData/blob/master/3-ReprodResearch.md#basics) |
| 28 | + - [R Markdown creation](https://github.com/ravichas/TidyingData/blob/master/3-ReprodResearch.md#creation) |
| 29 | + - [Code chunks](https://github.com/ravichas/TidyingData/blob/master/3-ReprodResearch.md#code) |
| 30 | + - [Tables](https://github.com/ravichas/TidyingData/blob/master/3-ReprodResearch.md#tables) |
| 31 | + - [Knitting an Rmd file](https://github.com/ravichas/TidyingData/blob/master/3-ReprodResearch.md#knitr) |
| 32 | +- [Open time for questions](https://github.com/ravichas/TidyingData/blob/master/4-Practice.Rmd) |
31 | 33 | - You may work on the data set provided or bring your own data
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