Difference between revisions of "CRG Introduction to R July2017"
From Bioinformatics Core Wiki
(→Course Syllabus, Schedule, and Materials) |
(→Course Syllabus, Schedule, and Materials) |
||
| Line 23: | Line 23: | ||
* Day 1 | * Day 1 | ||
** Introduction to R Studio<br>We will use the R Studio [http://rstudio01.linux.crg.es server] of the CRG. We will go through what can be done with R Studio, from file and folders manipulation/navigation, to getting help on R functions. | ** Introduction to R Studio<br>We will use the R Studio [http://rstudio01.linux.crg.es server] of the CRG. We will go through what can be done with R Studio, from file and folders manipulation/navigation, to getting help on R functions. | ||
| − | ** Basics of R | + | ** Basics of R<br>Syntax, special characters, create an object, manipulate the object, simple arithmetics. |
| − | Syntax, special characters, create an object, manipulate the object, simple arithmetics. | + | ** Functions in R<br>Arguments. Get help. |
| − | ** | + | ** Vectors<br>Basic (and most important) data structure in R. We will learn how to create, modify, subset, manipulate vectors. |
| − | Basic (and most important) data structure in R. We will learn how to create, modify, subset, manipulate vectors. | + | ** Input / output<br>Reading in and writing out. |
| − | ** Input / output | + | ** Library / packages<br>Install and load packages. Look for functions in those packages. |
| − | Reading in and writing out. | + | |
* Day 2 | * Day 2 | ||
| − | ** Matrices & data frames | + | ** Matrices & data frames<br>2-dimensional objects: how to create, subset, manipulate. |
| − | 2-dimensional objects: how to create, subset, manipulate. | + | ** More on input / output<br>Reading in more complex files, different options to adapt to the input file. Writing out files the way you want to see your data. |
| − | ** More on input / output | + | |
| − | Reading in more complex files, different options to adapt to the input file. Writing out files the way you want to see your data. | + | |
* Day 3: plotting | * Day 3: plotting | ||
| − | ** Basic plotting | + | ** Basic plotting (base graphics package)<br>Scatter plots, boxplots, barplots, pie plots, histograms. |
| − | 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. |
| − | ** Introduction to ggplot2 package | + | ** Input / output<br>We will save plots as files in different formats, both from R Studio and from the terminal. |
| − | ggplot2 provides functions for creating and customizing plots. We will learn the basic structure and how to produce simple plots. | + | |
| − | ** Input / output | + | |
| − | + | ||
Revision as of 07:53, 4 July 2017
Contents
Description
This is an introductory course to R programming.
The course is offered in 3 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 Instructors
Dates, Time and Location
- July 12, 13, 14, 2017.
- 9:30 - 13:30.
- PRBB Boinformatics classroom (468). 4th floor. The hotel/North wing.
Course Syllabus, Schedule, and Materials
- Day 1
- Introduction to R Studio
We will use the R Studio server of the CRG. We will go through what can be done with R Studio, from file and folders manipulation/navigation, to getting help on R functions. - Basics of R
Syntax, special characters, create an object, manipulate the object, simple arithmetics. - Functions in R
Arguments. Get help. - Vectors
Basic (and most important) data structure in R. We will learn how to create, modify, subset, manipulate vectors. - Input / output
Reading in and writing out. - Library / packages
Install and load packages. Look for functions in those packages.
- Introduction to R Studio
- Day 2
- Matrices & data frames
2-dimensional objects: how to create, subset, manipulate. - More on input / output
Reading in more complex files, different options to adapt to the input file. Writing out files the way you want to see your data.
- Matrices & data frames
- Day 3: plotting
- 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)
