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 perform an Analysis Of VAriance (ANOVA) in R to compare 3 groups or more. See also how to interpret the results and perform post-hoc tests| Stats and R
Learn how to create professional graphics and plots in R (histogram, barplot, boxplot, scatter plot, line plot, density plot, etc.) with the ggplot2 package| 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 when and how to use the Chi-square test of independence in R. See also how it works in practice and how to interpret the results of the Chi-square test| Stats and R
Discover the best RStudio addins, how to use them in practice and how they can help you when writing code in R or R Markdown| Stats and R