Learn how to run multiple and simple linear regression in R, how to interpret the results and how to verify the conditions of application| Stats and R
Learn how to compute a correlation coefficient (Pearson and Spearman) and perform a correlation test in R| Stats and R
This article is a practical guide about R Markdown, from why it is an important writing tool in R to how to compile and edit your first R Markdown document| Stats and R
Learn the differences between a quantitative continuous, quantitative discrete, qualitative ordinal and qualitative nominal variable via concrete examples| Stats and R
See the main functions to manipulate data in R such as how to subset a data frame, create a new variable, recode categorical variables and rename a variable| Stats and R
After having installed R and RStudio, learn several ways to import an Excel, CSV or SPSS (.sav) file into RStudio via the code or in a more user-friendly way| Stats and R