Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, youâ ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.
The second half of Learning R shows you real data analysis in action by covering everything from importing data to publishing your results. Each chapter in the book includes a quiz on what youâ ve learned, and concludes with exercises, most of which involve writing R code.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Richie is a data scientist with a background in chemical health and safety, and has worked extensively on tools to give non-technical users access to statistical models. He is the author of the R packages "assertive" for checking the state of your variables and "sig" to make sure your functions have a sensible API. He runs The Damned Liars statistics consultancy.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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