Difference between revisions of "CRG Introduction to R 2018"
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* <b><u>Day 1</u></b> | * <b><u>Day 1</u></b> | ||
| − | ** Introduction to R Studio<br>We will use the | + | ** Introduction to R Studio<br>We will use the [http://rstudio.linux.crg.es R Studio] of the CRG server. We will go through what can be done with R Studio, from file and folders manipulation/navigation, to getting help on R functions. |
** Paths / directories | ** Paths / directories | ||
** Basics of R: syntax, create an object, manipulate the object, simple arithmetics. | ** Basics of R: syntax, create an object, manipulate the object, simple arithmetics. | ||
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* <b><u>Day 2</u></b> | * <b><u>Day 2</u></b> | ||
** Missing values: how to deal with NA values. | ** Missing values: how to deal with NA values. | ||
| − | ** Matrices & data frames<br>2-dimensional objects: how to create, subset, manipulate. | + | ** Matrices & data frames<br>2-dimensional objects: how to create, subset, select, manipulate. |
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* <b><u>Day 3</u></b> | * <b><u>Day 3</u></b> | ||
** Library / packages<br>Install and load packages. Look for functions in those packages. | ** Library / packages<br>Install and load packages. Look for functions in those packages. | ||
| − | ** Input / output<br>Reading in and writing out files. | + | ** Input / output<br>Reading in and writing out files. Adapting I/O to file format. |
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Revision as of 15:12, 16 March 2018
Contents
Description
This is an introductory course to R programming.
The course is offered in 4 slow-paced practicums for absolute beginners. The goal is to offer a good base with a lot of hands on exercises.
We will use R Studio on the server of the CRG.
Course Instructor
Dates, Time and Location
- March 19-20, April 16-17 2018
- 10:00 - 14:00
- PRBB Bioinformatics classroom (468). 4th floor. The hotel/North wing.
Course Syllabus, Schedule, and Materials
The day before each session, the slides will be uploaded in case you want to print them.
- Day 1
- Introduction to R Studio
We will use the R Studio of the CRG server. We will go through what can be done with R Studio, from file and folders 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
Arguments. Get help. - R scripts: write and save commands, run them as a block. Comment code.
- Data types.
- Data structures:
- Vectors
Basic (and most important) data structure in R. We will learn how to create, modify, subset, manipulate, compare vectors. - Introduction to factors: categorical vectors.
- Vectors
- Introduction to R Studio
- Day 2
- Missing values: how to deal with NA values.
- Matrices & data frames
2-dimensional objects: how to create, subset, select, manipulate.
- Day 3
- Library / packages
Install and load packages. Look for functions in those packages. - Input / output
Reading in and writing out files. Adapting I/O to file format.
- Library / packages
- Day 4
- Basic plotting (base graphics package)
Scatter plots, boxplots, barplots, pie plots, histograms. - Introduction to ggplot2 package
ggplot2 provides functions for creating and customizing plots. We will learn the basic structure and how to produce simple plots. - Input / output
We will save plots as files in different formats, both from R Studio and from the terminal.
- Basic plotting (base graphics package)
