This course is intended for students and experimenters that would like, for the first time, to get in touch with advanced statistical softwares. Accordingly, experienced R user or programmers will find this course of limited interest. Instead, the course aims to motivate and introduce students of scientific disciplines to the improvement of their statistical skills, of the quality of their graphical output, of the readability of the their reports.
The course is structured in the following Units:
This course use mostly R base packages (like
graphics). The use of eXternal packages will be limited as much as possible.
The approach used is in the form of a tutorial. Each Unit starts with a clear problem to solve. The sections of each unit will provide guidelines to achieve the solution.
R is a free language and environment for data manipulation, statistical analysis and graphical display.
If you have to analyze only a small dataset, your model fitting is limited to linear regression functions, yout statistic is mostly related to mean and standard deviation , then, R does not pay back the time needed to learn it.
Instead, R becomes an interesting option if:
Finally, R is your choice if:
Installation of R for Linux, OS or Windows is available here:
Rstudio is an R editor. You can download the RStudio Desktop Open Source at the following website: