# Welcome to Data Analysis with R

© Norman S. Matloff, 2013-

## About

This is a short course in the basics of statistics/data analysis, using
the popular open-source software tool
.

## Background Needed

**No prior knowledge of statistics or programming is
assumed**. All that is needed is the ability to read basic
charts and graphs, and familiarity with very simple computer basics,
e.g. the concept of files and folders (called *directories* in some
systems).

## Exorcizing the Intimidation Factor

The approach here is intended to be gentle, avoiding math equations for
the most part, just simply appealing to the common sense everyone has.
Though R is a sophisticated programming language, the treatment
here is limited to some basic techniques that in fact enable one to
do most of the standard types of analysis. So, you will indeed be
able do data analysis after working through this material, both in
terms of the statistical concepts and of a computer tool (R) for
putting those concepts into action.

However, **you must do your part**. You cannot read this
material passively, like you would a novel. You must constantly give
**active** thought to the material, asking yourself
questions like, "How could I apply this to my favorite data set?"--and
actually try it out! There are exercises at the end of each lesson, but
to really learn, you should devise your own little exercises, and try
them out.

I suggest copying-and-pasting with your mouse, from the R commands in
the lessons to your R window as you go along, to get the full visual
effect.

##
Lessons: