Do you need to turn data into a publication figure? We offer tools and confidence for the student to independently select a statistical method for research questions in their field. The course is practical and includes implementing a basic statistical analysis in R, the leading statistical programming language in bioinformatics and medical science. Furthermore, we give a brief introduction to visualization in R, with a focus on R/ggplot2. Students can bring data from their own research project, or work on data from the course.
By the end of the course the student should be able to: *
download and install the latest versions of R and Rstudio. *know where to look for help when working in R.
*know how to import data into R.
*use R for basic analysis and presentation of data in their field.
*select statistical method and motivate the choice using a structured approach.
No prior experience with R is required, but basic knowledge of statistics and data analysis is recommended.
