View source for CRG Introduction to R 2018

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=== Description ===
This is an introductory course to R programming. 
<br> The course is offered in 4 slow-paced practicums for <b>absolute beginners</b>. The goal is to offer a good base with a lot of hands on exercises.<br>
We will use the [https://www.rstudio.com R Studio] of the [http://rstudio01.linux.crg.es CRG server]. 
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=== Course Instructor ===
* [mailto:sarah.bonnin@crg.eu Sarah Bonnin] - Bioinformatician at the CRG bioinformatics core facility.
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=== Dates, Time and Location ===
* March 19-20 & April 16-17
* 10:00 - 14:00 
* PRBB Bioinformatics classroom (468). 4th floor. The hotel/North wing.
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=== Course Syllabus, Schedule, and Materials ===

The day before each session, the slides will be uploaded in case you want to print them.<br>
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* <b><u>Day 1</u></b>
** Introduction to R Studio<br>We will use the [https://www.rstudio.com R Studio] of the [http://rstudio.linux.crg.es CRG server] (http://rstudio.linux.crg.es). We will go through what can be done with R Studio, from file and folder manipulation/navigation, to getting help on R functions.
** Paths / directories
** Basics of R: syntax, create an object, manipulate the object, simple arithmetics.
** Functions usage in R<br>Arguments. Get help.
** R scripts: write and save commands, run them as a block. Comment code.
** Data types.
** Data structures:
***Vectors<br>Basic (and most important) data structure in R. We will learn how to create, modify, subset, manipulate, compare vectors.
*** Introduction to factors: categorical vectors.
[[Media:1803_Introduction_to_R_day1.pdf|Slides day1]]<br>
[[Media:1803_Exercises_day1.pdf|Exercises day 1 (1, 2 & 3)]]<br>
Correction of exercises:
* [[Media:Exercise1.R|Correction exercise 1]]
* [[Media:Exercise2.R|Correction exercise 2]]
* [[Media:Exercise3.R|Correction exercise 3]]
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<!-- [[Media:|Exercises day1]]-->
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* <b><u>Day 2</u></b>
** Missing values: how to deal with NA values.
** Matrices & data frames<br>2-dimensional objects: how to create, subset, select, manipulate.
[[Media:1803_Introduction_to_R_day2.pdf|Slides day2]]<br>
[[Media:1803_Exercises_day2.pdf|Exercises day 2 (4 & 5)]]<br>
Correction of exercises:
* [[Media:Exercise4.R|Correction exercise 4]]
* [[Media:Exercise5.R|Correction exercise 5]]
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* <b><u>Day 3</u></b>
** Input / output<br>Reading in and writing out files. Adapting I/O to file format.
** Library / packages<br>Install and load packages. Look for functions in those packages.
[[Media:1804_Introduction_to_R_day3.pdf|Slides day3]]<br>
[[Media:1804_Exercises_day3.pdf|Exercises day 3 (6 & 7)]]<br>
Correction of exercises:
* [[Media:Exercise6.R|Correction exercise 6]]
* [[Media:Exercise7.R|Correction exercise 7]]
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* <b><u>Day 4</u></b>
** Basic plotting (base graphics package)<br>Scatter plots, boxplots, barplots, pie plots, histograms.
** Introduction to ggplot2 package<br>ggplot2 provides functions for creating and customizing plots. We will learn the basic structure and how to produce simple plots.
** Input / output<br>We will save plots as files in different formats, both from R Studio and from the terminal.
[[Media:1804_Introduction_to_R_day4.pdf|Slides day4]]<br>
[[Media:1804_Exercises_day4.pdf|Exercises day 4 (8 & 9)]]<br>
Correction of exercises:
* [[Media:Exercise8.R|Correction exercise 8]]
* [[Media:Exercise9.R|Correction exercise 9]]

=== Resources ===
*[https://www.rstudio.com/resources/cheatsheets/ R Studio cheat sheets]
* [https://www.r-bloggers.com/ R bloggers]
* [https://www.r-graph-gallery.com/ R graph gallery]
*[https://www.statmethods.net/index.html Quick R]
*[http://www.cookbook-r.com/ Cookbook for R]
*[https://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdf R for beginners - CRAN website]
*[http://style.tidyverse.org/ R Style guide]
*[https://www.datacamp.com/courses/free-introduction-to-r DataCamp: interactive introduction to R]