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Language: en
Pages: 280
Pages: 280
Get started computing with data. Learn general principles while learning R - now including the tidyverse.
Language: en
Pages:
Pages:
This third edition of Braun and Murdoch's bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, includin
Language: en
Pages: 163
Pages: 163
This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for y
Language: en
Pages:
Pages:
Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users thro
Language: en
Pages: 832
Pages: 832
The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no pr
Language: en
Pages: 336
Pages: 336
Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical Analysis in Chemometrics
Language: en
Pages: 628
Pages: 628
The contents of The R Software are presented so as to be both comprehensive and easy for the reader to use. Besides its application as a self-learning text, thi
Language: en
Pages: 368
Pages: 368
This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas a
Language: en
Pages: 490
Pages: 490
Statistical Regression and Classification: From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course, pre
Language: en
Pages: 472
Pages: 472
This is a broad introduction to the R statistical computing environment in the context of applied regression analysis. It is a thoroughly updated edition of Joh
