ABSTRACT

The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source software package, was created in response to this issue. It has enjoyed explosive growth since its introduction, owing to its coherence, flexibility, and free availability. While it

chapter 1|30 pages

Data

chapter 2|36 pages

Univariate Data

chapter 3|35 pages

Bivariate data

chapter 4|36 pages

Multivariate Data

chapter 5|23 pages

Describing Populations

chapter 6|17 pages

Simulation

chapter 7|29 pages

Confidence Intervals

chapter 8|32 pages

Significance Tests

chapter 9|25 pages

Goodness of Fit

chapter 10|34 pages

Linear Regression

chapter 11|29 pages

Analysis of Variance

chapter 12|16 pages

Two Extensions of the Linear Model