CUrriculum

Monday - Classes from 9:30 to 17:30

             Starting with the data

 

 

 

            Part I: Good coding practices and common fails (Intro to git and github)

 

            Part II: Data sanitization and the tidyverse

 

 

 

Tuesday - Classes from 9:30 to 17:30

 

 

             Graphics in R

 

            Part I: using basic R graphics efficiently

 

            Part II: ggplot2

 

 

 

Wednesday - Classes from 9:30 to 17:30

 

 

             Advanced statistics in R

 

            Part I: the modelling interface in R

 

            Part II: advanced statistical programming in R

 

 

Thursday - Classes from 9:30 to 17:30

 

 

             Package building in R

 

            Part I: building your first package

 

            Part II: testthat & roxygen: testing, documenting, QA

 

 

Friday - Classes from 9:30 to 17:30


             Individual work

 

            Part I: Tips and tricks, Questions and Answers