# C Introduction to `R`

The manual “An Introduction to R” gives an introduction to the language and how to use `R`

for doing statistical analysis and graphcis in detail.

Additionally, in this section you can find a set of Cheat Sheets of this programming language:

R Base for first steps and basic functions of the language.

R Advanced for environments, data structures, functions, subsetting and more advanced things.

The Data Import cheat sheet reminds you how to read in flat files with http://readr.tidyverse.org/, work with the results as tibbles, and reshape messy data with the

`tidyr`

package. Use`tidyr`

to reshape your tables into tidy data, the data format that works the most seamlessly with`R`

and the`tidyverse`

.Data Transformations for some functions in

`dplyr`

packages very useful and computational efficient to preprocess data.Data Visualization for make beautiful and customizable plots of your data by means of the

`ggplot2`

package. It implements the grammar of graphics, an easy to use system for building plots.

Finally, you can find below a list with some well-know **web resources** related with this statistical language: