r-bio.github.io

The R class · R programming for biologists

A course to learn how to develop reproducible and collaborative workflows using R. 01 - First lecture. 02 - coercion, lists, factors, and a little bit of `data.frame`. 03 - `data.frame` continued. 04 - Even more `data.frame`. 05 - Functions and control flow. 06 - More advanced functions, and introduction to Rmarkdown. 07 - Graphics with ggplot2. 08 - String manipulations. Good practices for working with R. Using Git with RStudio - Installation instructions. List of functions you should be familiar with.

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The R class · R programming for biologists | r-bio.github.io Reviews

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A course to learn how to develop reproducible and collaborative workflows using R. 01 - First lecture. 02 - coercion, lists, factors, and a little bit of `data.frame`. 03 - `data.frame` continued. 04 - Even more `data.frame`. 05 - Functions and control flow. 06 - More advanced functions, and introduction to Rmarkdown. 07 - Graphics with ggplot2. 08 - String manipulations. Good practices for working with R. Using Git with RStudio - Installation instructions. List of functions you should be familiar with.

<META> KEYWORDS

1 challenges

2 seeking help

3 syllabus

4 the r class

5 final project presentations

6 time

7 presentation format

8 project format

9 dplyr

10 magrittr

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The R class · R programming for biologists | r-bio.github.io Reviews

https://r-bio.github.io

A course to learn how to develop reproducible and collaborative workflows using R. 01 - First lecture. 02 - coercion, lists, factors, and a little bit of `data.frame`. 03 - `data.frame` continued. 04 - Even more `data.frame`. 05 - Functions and control flow. 06 - More advanced functions, and introduction to Rmarkdown. 07 - Graphics with ggplot2. 08 - String manipulations. Good practices for working with R. Using Git with RStudio - Installation instructions. List of functions you should be familiar with.

INTERNAL PAGES

r-bio.github.io

1

Using Git with RStudio -- Installation instructions · The R class

http://r-bio.github.io/git-installation

A course to learn how to develop reproducible and collaborative workflows using R. 01 - First lecture. 02 - coercion, lists, factors, and a little bit of `data.frame`. 03 - `data.frame` continued. 04 - Even more `data.frame`. 05 - Functions and control flow. 06 - More advanced functions, and introduction to Rmarkdown. 07 - Graphics with ggplot2. 08 - String manipulations. Good practices for working with R. Using Git with RStudio - Installation instructions. List of functions you should be familiar with.

2

Good practices for working with R · The R class

http://r-bio.github.io/Good-Practices

A course to learn how to develop reproducible and collaborative workflows using R. 01 - First lecture. 02 - coercion, lists, factors, and a little bit of `data.frame`. 03 - `data.frame` continued. 04 - Even more `data.frame`. 05 - Functions and control flow. 06 - More advanced functions, and introduction to Rmarkdown. 07 - Graphics with ggplot2. 08 - String manipulations. Good practices for working with R. Using Git with RStudio - Installation instructions. List of functions you should be familiar with.

3

An introduction to Git and how to use it with RStudio · The R class

http://r-bio.github.io/intro-git-rstudio

A course to learn how to develop reproducible and collaborative workflows using R. 01 - First lecture. 02 - coercion, lists, factors, and a little bit of `data.frame`. 03 - `data.frame` continued. 04 - Even more `data.frame`. 05 - Functions and control flow. 06 - More advanced functions, and introduction to Rmarkdown. 07 - Graphics with ggplot2. 08 - String manipulations. Good practices for working with R. Using Git with RStudio - Installation instructions. List of functions you should be familiar with.

4

06 - More advanced functions, and introduction to Rmarkdown · The R class

http://r-bio.github.io/06-advanced-function

A course to learn how to develop reproducible and collaborative workflows using R. 01 - First lecture. 02 - coercion, lists, factors, and a little bit of `data.frame`. 03 - `data.frame` continued. 04 - Even more `data.frame`. 05 - Functions and control flow. 06 - More advanced functions, and introduction to Rmarkdown. 07 - Graphics with ggplot2. 08 - String manipulations. Good practices for working with R. Using Git with RStudio - Installation instructions. List of functions you should be familiar with.

5

Challenges · The R class

http://r-bio.github.io/challenges

A course to learn how to develop reproducible and collaborative workflows using R. 01 - First lecture. 02 - coercion, lists, factors, and a little bit of `data.frame`. 03 - `data.frame` continued. 04 - Even more `data.frame`. 05 - Functions and control flow. 06 - More advanced functions, and introduction to Rmarkdown. 07 - Graphics with ggplot2. 08 - String manipulations. Good practices for working with R. Using Git with RStudio - Installation instructions. List of functions you should be familiar with.

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The R class · R programming for biologists

A course to learn how to develop reproducible and collaborative workflows using R. 01 - First lecture. 02 - coercion, lists, factors, and a little bit of `data.frame`. 03 - `data.frame` continued. 04 - Even more `data.frame`. 05 - Functions and control flow. 06 - More advanced functions, and introduction to Rmarkdown. 07 - Graphics with ggplot2. 08 - String manipulations. Good practices for working with R. Using Git with RStudio - Installation instructions. List of functions you should be familiar with.

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