MOMENTAN AUSVERKAUFT
Über dieses Produkt
Product Identifiers
PublisherO'reilly Media, Incorporated
ISBN-101492040681
ISBN-139781492040682
eBay Product ID (ePID)16038390370
Product Key Features
Number of Pages500 Pages
Publication NameR Cookbook : Proven Recipes for Data Analysis, Statistics, and Graphics
LanguageEnglish
SubjectData Modeling & Design, Mathematical & Statistical Software, Probability & Statistics / General, Programming / Open Source
Publication Year2019
TypeTextbook
Subject AreaMathematics, Computers
AuthorPaul Teetor, J. D. Long
FormatTrade Paperback
Dimensions
Item Height1.2 in
Item Weight36.1 Oz
Item Length9.4 in
Item Width7.6 in
Additional Product Features
Edition Number2
Intended AudienceScholarly & Professional
LCCN2020-301350
Dewey Edition23
IllustratedYes
Dewey Decimal519.502855133
SynopsisPerform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an intermediate user, this book will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform basic functions Simplify data input and output Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data
LC Classification NumberQA276.45.R3
