R project for statistical computing

The R project

R is a comprehensive  language and environment for statistical computing and graphical programming. This link redirect you to the R-project official web page.

Quick-R, accessing the power of R

The following links enable you to use the material available at the Quick-R web page.

Importing Data into R. Importing data into R is fairly simple. This link will help you to learn how to do it in a few minutes.

Exporting Data from R. There are numerous methods for exporting R objects into other formats. This link will show to you five simple ways to do it.

Missing Data in R. Missing values are represented in R by the symbol NA (not available), whereas impossible values (e.g., dividing by zero) are represented by the symbol NaN (not a number). This link will illustrate the variety of function available in R to handle missing data.

Matrix algebra with R. Efficient implementation of the main linear algebra methods might be found in R. This link provides cover operators and functions specifically suited to linear algebra.