Introduction to R
>eR-BioStat
This course is an introductory course to R and can be given as a one\two-days workshop or as a course of 2-3 classes (3 hours per class). All topics in the course are presented at a basic level. Only a limited knowledge in R is required. Topics covered in the course include:
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Two sample t-test.
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Basic plots
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Basic programming in R: objects in R
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Reading external datasets
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Basic plots functions
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Programming in R: a for loop
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Statistical modeling in R: simple linear regression
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Statistical modeling in R: one-way ANOVA
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Statistical modeling in R: logistic regression
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Programming in R: user functions
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Two-way ANOVA
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Application of a for loop: bootstrap.
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The tidyverse package.
The course was developed as a introductory level course.
This is an open source course and all source files used to produce the slides are available online (in PP, Tex or Rmd formats).
About
General information about the course and course materials and the study methods used in the course.
Topics
In this page, the course is presented in a typical slides format. The course consists of 4 chapters for which the slides are available online and can be downloaded for free. All examples are implemented in R.
Online interactive book
In this page, selected topics of the course are presented in an interactive book format. The book contains all the materials presented in the slides, YouTube tutorials and R code and output are a part of the book as well.
The >eR-BioStat initiative
This course was developed as a part of the >eR-BioStat initiative. More courses can be found in https://erbiostat.wixsite.com/erbiostat.
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Course developer: Ziv Shkedy.
Email: ziv.shkedy@uhasselt.be