Beginning R, 2nd Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic re
Statistics, 2nd Edition: An Introduction Using R
โ Scribed by Michael J. Crawley
- Publisher
- Wiley
- Year
- 2014
- Tongue
- English
- Leaves
- 357
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package R. This new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a wide range of disciplines. Step-by-step instructions help the non-statistician to fully understand the methodology. The book covers the full range of statistical techniques likely to be needed to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling.
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Get the Statistics Book That's Sweeping the Nation!Appropriate for All Levels--Undergraduate to Doctorate Programs in Every Discipline!This new edition of Field's bestselling textbook provides students of statistical methods with everything they need to understand, use and report statistics - at eve
I am a big fan of conversational writing style, but literally 20% or more of this book is simply the author trying to have a cute conversation. The book is written as if the audience was composed of nothing but children. Furthermore in the very first chapter the author mis defines the word 'theory
"A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package R This new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to