In this post, I highlight the 10 most common errors in R and how to fix them. I also mention a couple of warnings (which are different than errors).| Stats and R
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 detect outliers in R thanks to descriptive statistics and via the Hampel filter, the Grubbs, the Dixon and the Rosner tests for outliers| Stats and R
Learn how to perform the one-sample t-test by hand and in R in order to compare a sample to a hypothesized value, with known or unknown population variance| Stats and R
Learn how to apply the Student's t-test by hand and in R in order to compare two independent or paired samples with known or unknown variances| Stats and R
Learn the differences between the Chi-square test of independence and the Fisher's exact test. You will also learn how to implement the statistical test in R| Stats and R
Test if two categorical variables are dependent via the Chi-square test of independence. See also how to compute it by hand and how to interpret the results| Stats and R
Learn how to perform a descriptive analysis of your data in R, from simple descriptive statistics to more advanced graphics used to describe your data at hand| Stats and R
This article presents how to perform inferential statistics by hand, namely, confidence intervals and hypothesis tests for means, proportions and variances| Stats and R