Title Statements
- Full title :Using R for statistics / Sarah Stowell.
Summary
R is a popular and growing open source statistical analysis and graphics environment as well as a programming language and platform. You'll be able to navigate the R system, enter and import data, manipulate datasets, calculate summary statistics, create statistical plots and customize their appearance, perform hypothesis tests such as the t-tests and analyses of variance, and build regression models. Examples are built around actual datasets to simulate real-world solutions, and programming basics are explained to assist those who do not have a development background. No prior knowledge of R or of programming is assumed, though you should have some experience with statistics. What you'll learn : How to apply statistical concepts using R and some R programming; How to work with data files, prepare and manipulate data, and combine and restructure datasets; How to summarize continuous and categorical variables; What is a probability distribution; How to create and customize plots; How to do hypothesis testing; How to build and use regression and linear models. --
Read More ↓Edition Statements
- Publication Date:2014
Publication Statements
- Publisher(s):Apress
- Place of Publication:Berkeley, CA
- Language:eng
- Publication Date:2014
Notes
Titre de l'écran-titre (visionné le 19 septembre 2014).
The Physical Object
- Description:1 ressource en ligne (xvi, 250 pages) : : illustrations, fichiers PDF
Edition Identifiers
- ISBN:9781484201398, 1484201396
- oclc:on1132066605
- LC Classification:QA276.4
- Dewey Decimal:519.50285/5133
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