R Programming for biologist
The R for genomics course will use University Noteable service for course work and it is vital that you check it works before attending the course.
https://www.ed.ac.uk/information-services/learning-technology/noteable/accessing-noteable
You will need to use the direct login account for the course. This uses your university username (uun) and password.
https://noteable.edina.ac.uk/login
within R console
#install.packages("xfun_0.16.tar.gz",repos=null)
install.packages("xfun",repos="http://cran.rstudio.com")
install.packages("swirl",repos="http://cran.rstudio.com")
#swirl::install_course("R Programming")
swirl::install_course("Getting and Cleaning Data")
swirl::install_course("Exploratory_Data_Analysis")
https://cran.r-project.org/src/contrib/swirl_2.4.5.tar.gz
Download the three course files below
https://github.com/swirldev/swirl_courseshttp://swirlstats.com/scn/Exploratory_Data_Analysis.swc http://swirlstats.com/scn/R_Programming.swc http://swirlstats.com/scn/Exploratory_Data_Analysis.swc
Upload packages and swc files to noteable service.
Within RStudio run
install.packages("swirl/swirl_2.4.5.tar.gz",repos=NULL)
library("swirl")
install_course(swc_path = "swirl/R_Programming.swc")