Difference between revisions of "CRG Introduction to R July2017"
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=== Course Syllabus, Schedule, and Materials === | === Course Syllabus, Schedule, and Materials === | ||
| − | * Day 1 | + | The day before each session, the slides will be uploaded in case you want to print them.<br> |
| − | ** Introduction to R Studio | + | Slides for the whole course are [[Media:1707_Introduction_to_R_ALL.pdf|here]] |
| − | 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. | + | <br> |
| − | ** Basics of R | + | * <b>Day 1</b> |
| − | Syntax, special characters, create an object, manipulate the object, simple arithmetics. | + | ** 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<br>Syntax, special characters, create an object, manipulate the object, simple arithmetics. |
| − | Basic (and most important) data structure in R. We will learn how to create, modify, subset, manipulate vectors. | + | ** Functions usage in R<br>Arguments. Get help. |
| − | ** Input / output | + | ** R scripts: write and save commands, run them as a block. Comment code. |
| − | Reading in and writing out. | + | ** Data types. |
| − | * Day 2 | + | ** Vectors<br>Basic (and most important) data structure in R. We will learn how to create, modify, subset, manipulate, compare vectors. |
| − | ** Matrices & data frames | + | ** Input / output<br>Reading in and writing out. Changing directory. |
| − | 2-dimensional objects: how to create, subset, manipulate. | + | ** Introduction to factors: categorical vectors. |
| − | ** More on input / output | + | ** Missing values: how to deal with NA values. |
| − | Reading in more complex files, different options to adapt to the input file. Writing out files the way you want to see your data. | + | [[Media:1707_Introduction_to_R_day1.pdf|Slides day1]] |
| − | * Day 3 | + | <br> |
| − | ** Basic plotting | + | [[Media:1707_Exercises_day1.pdf|Exercises day1]] |
| − | Scatter plots, boxplots, barplots, pie plots, histograms. | + | <br> |
| − | ** Introduction to ggplot2 package | + | [[Media:exercise1_correction.R|Correction exercise 1]] |
| − | ggplot2 provides functions for creating and customizing plots. We will learn the basic structure and how to produce simple plots. | + | <br> |
| − | ** Input / output | + | [[Media:exercise2_correction.R|Correction exercise 2]] |
| − | + | <br> | |
| + | [[Media:exercise3_correction.R|Correction exercise 3]] | ||
| + | <br> | ||
| + | * <b>Day 2</b> | ||
| + | ** Matrices & data frames<br>2-dimensional objects: how to create, subset, manipulate. | ||
| + | ** Library / packages<br>Install and load packages. Look for functions in those packages. | ||
| + | ** 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. | ||
| + | [[Media:1707_Introduction_to_R_day2.pdf|Slides day2]] | ||
| + | <br> | ||
| + | [[Media:1707_Exercises_day2.pdf|Exercises day2]] | ||
| + | <br> | ||
| + | [[Media:exercise4_correction.R|Correction exercise 4]] | ||
| + | <br> | ||
| + | [[Media:exercise5_correction.R|Correction exercise 5]] | ||
| + | <br> | ||
| + | [[Media:exercise6_correction.R|Correction exercise 6]] | ||
| + | <br> | ||
| + | [[Media:exercise7_correction.R|Correction exercise 7]] | ||
| + | <br> | ||
| + | * <b>Day 3</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:1707_Introduction_to_R_day3.pdf|Slides day3]] | ||
| + | <br> | ||
| + | [[Media:1707_Exercises_day3.pdf|Exercises day3]] | ||
| + | <br> | ||
| + | [[Media:exercise8_correction.R|Correction exercise 8]] | ||
| + | <br> | ||
| + | [[Media:exercise9_correction.R|Correction exercise 9]] | ||
| + | <br> | ||
Latest revision as of 13:14, 14 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
The day before each session, the slides will be uploaded in case you want to print them.
Slides for the whole course are here
- 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 usage in R
Arguments. Get help. - R scripts: write and save commands, run them as a block. Comment code.
- Data types.
- Vectors
Basic (and most important) data structure in R. We will learn how to create, modify, subset, manipulate, compare vectors. - Input / output
Reading in and writing out. Changing directory. - Introduction to factors: categorical vectors.
- Missing values: how to deal with NA values.
- Introduction to R Studio
Slides day1
Exercises day1
Correction exercise 1
Correction exercise 2
Correction exercise 3
- Day 2
- Matrices & data frames
2-dimensional objects: how to create, subset, manipulate. - Library / packages
Install and load packages. Look for functions in those packages. - 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
Slides day2
Exercises day2
Correction exercise 4
Correction exercise 5
Correction exercise 6
Correction exercise 7
- Day 3
- 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)
Slides day3
Exercises day3
Correction exercise 8
Correction exercise 9
