On this set of exercises, we are going to use the lm and glm functions to perform several generalized linear models on one dataset. Since this is a basic set of exercises we will take a closer look at the arguments of these functions and how to take advantage of ... [Read more...]

In this set of exercises, we are going to explore some applications of probability functions and how to plot some density functions. The package MASS will be used in this set. Note: We are going to use random numbers functions and random processes functions in R such as runif. A ... [Read more...]

In this set of exercises, we are going to explore some of the probability functions in R by using practical applications. Basic probability knowledge is required. In case you are not familiarized with the function apply, check the R documentation. Note: We are going to use random numbers functions and ... [Read more...]

On this set of exercises, we are going to explore some of the probability functions in R with practical applications. Basic probability knowledge is required. Note: We are going to use random number functions and random process functions in R such as runif, a problem with these functions is that ... [Read more...]

This set of exercises will help you to help you improve your skills with character functions in R. Most of the exercises are related with text mining, a statistical technique that analyses text using statistics. If you find them interesting I would suggest checking the library tm, this includes functions ... [Read more...]

This set of exercises will help you to learn and test your skill with basic arithmetical operations and logic functions. Before proceeding, it might be helpful to look over the help pages for the **, %/%, %%, and the logical operators such as !=, ==, __=, isTRUE . Answers to the exercises are available here. […] [Read more...]

Being able to visualize information through plots is essential for a statistic analysis. A simple and clean graph  can explain much more than words.  In this set of exercises you will test and learn advanced graphic arguments. Before you start check the documentation for the following functions: plot, points, abline, ... [Read more...]

One of the first steps of data analysis is the descriptive analysis; this helps to understand how the data is distributed and provides important information for further steps. This set of exercises will include functions useful for one variable descriptive analysis, including graphs. Before proceeding, it might be helpful to ... [Read more...]

This set of exercises will help you to learn and test your skill in matrix operations, starting with basic ones like scalar multiplication all the way through eigenvalue and eigenvectors. Before proceeding, it might be helpful to look over the help pages for the diag, t, eigen, and crossprod functions. ... [Read more...]