| Description |
1 online resource (xxiv, 310 pages) : illustrations |
|
text file |
|
PDF |
| Series |
Expert's voice in programming |
|
Expert's voice in programming.
|
| Summary |
"Beginning R: An Introduction to Statistical Programming shows you how to use this open-source language and take advantage of its extensive statistical and graphing capabilities. Indeed, R has become the de facto standard for doing, teaching, and learning computational statistics. With this book, you'll learn the language by using it right from the start--an approach giving valuable, firsthand experience"--Page 4 of cover |
| Contents |
Getting R and getting started -- Programming in R -- Writing reusable functions -- Summary statistics -- Creating tables and graphs -- Discrete probability distributions -- Computing normal probabilities -- Creating confidence intervals -- Performing t tests -- One-way analysis of variance -- Advanced analysis of variance -- Correlation and regression -- Multiple regression -- Logistic regression -- Chi-square tests -- Nonparametric tests -- Using R for simulation -- The "new" statistics: resampling and bootstrapping -- Making an R package -- The R Commander package. |
| Language |
English. |
| Subject |
R (Computer program language)
|
|
Statistics -- Data processing.
|
|
R (Langage de programmation) |
|
Statistique -- Informatique. |
|
R (Computer program language) |
|
Statistics -- Data processing |
| Other Form: |
Printed edition: 9781430245544 |
| ISBN |
9781430245551 (electronic bk.) |
|
1430245557 (electronic bk.) |
| Standard No. |
10.1007/978-1-4302-4555-1 doi |
|
More Resources