LEADER 04993nam 2200769 a 450 001 9910963680003321 005 20210719162050.0 010 $a9786613661579 010 $a9781280684630 010 $a1280684631 010 $a9781118226162 010 $a111822616X 035 $a(CKB)2550000000103621 035 $a(EBL)836575 035 $a(OCoLC)794663330 035 $a(SSID)ssj0000676789 035 $a(PQKBManifestationID)12322620 035 $a(PQKBTitleCode)TC0000676789 035 $a(PQKBWorkID)10685332 035 $a(PQKB)11408425 035 $a(Au-PeEL)EBL836575 035 $a(CaPaEBR)ebr10565178 035 $a(CaONFJC)MIL366157 035 $a(PPN)272714496 035 $a(OCoLC)816348896 035 $a(OCoLC)ocn816348896 035 $a(FR-PaCSA)88944177 035 $a(CaSebORM)9781118239377 035 $a(MiAaPQ)EBC836575 035 $a(FRCYB88944177)88944177 035 $a(Perlego)2753049 035 $a(EXLCZ)992550000000103621 100 $a20120612d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBeginning R $ethe statistical programming language /$fMark Gardener 205 $a1st edition 210 $aIndianapolis $cJohn Wiley & Sons$d2012 215 $a1 online resource (507 p.) 225 0 $aWrox programmer to programmer 300 $aIncludes index. 311 08$a9781118239377 311 08$a1118239377 311 08$a9781118164303 311 08$a111816430X 327 $aBeginning R; Contents; Introduction; Who This Book Is For; What This Book Covers; How This Book Is Structured; What You Need to Use This Book; Conventions; Source Code; Errata; p2p.wrox.com; Chapter 1: Introducing R: What It Is and How to Get It; Getting the Hang of R; Running the R Program; Finding Your Way with R; Command Packages; Summary; Chapter 2: Starting Out: Becoming Familiar with R; Some Simple Math; Reading and Getting Data into R; Viewing Named Objects; Types of Data Items; The Structure of Data Items; Examining Data Structure; Working with History Commands; Saving Your Work in R 327 $aSummaryChapter 3: Starting Out: Working; Manipulating Objects; Viewing Objects within Objects; Constructing Data Objects; Forms of Data Objects: Testing and Converting; Summary; Chapter 4: Data: Descriptive Statistics and Tabulation; Summary Commands; Summarizing Samples; Summary Tables; Summary; Chapter 5: Data: Distribution; Looking at the Distribution of Data; Summary; Chapter 6: Simple Hypothesis Testing; Using the Student's t-test; The Wilcoxon U-Test (Mann-Whitney); Paired t- and U-Tests; Correlation and Covariance; Tests for Association; Summary 327 $aChapter 7: Introduction to Graphical AnalysisBox-whisker Plots; Scatter Plots; Pairs Plots (Multiple Correlation Plots); Line Charts; Pie Charts; Cleveland Dot Charts; Bar Charts; Copy Graphics to Other Applications; Summary; Chapter 8: Formula Notation and Complex Statistics; Examples of Using Formula Syntax for Basic Tests; Formula Notation in Graphics; Analysis of Variance (ANOVA); Summary; Chapter 9: Manipulating Data and Extracting Components; Creating Data for Complex Analysis; Summarizing Data; Summary; Chapter 10: Regression (Linear Modeling); Simple Linear Regression 327 $aMultiple RegressionCurvilinear Regression; Plotting Linear Models and Curve Fitting; Summarizing Regression Models; Summary; Chapter 11: More About Graphs; Adding Elements to Existing Plots; Matrix Plots (Multiple Series on One Graph); Multiple Plots in One Window; Exporting Graphs; Summary; Chapter 12: Writing Your Own Scripts: Beginning to Program; Copy and Paste Scripts; Creating Simple Functions; Making Source Code; Summary; Appendix: Answers to Exercises; Chapter 1; Chapter 2; Chapter 3; Chapter 4; Chapter 5; Chapter 6; Chapter 7; Chapter 8; Chapter 9; Chapter 10; Chapter 11; Chapter 12 327 $aIndexAdvertisement 330 $aConquer the complexities of this open source statistical language R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user-friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex s 606 $aR (Computer program language) 606 $aStatistics$xData processing 615 0$aR (Computer program language) 615 0$aStatistics$xData processing. 676 $a519.50285536 700 $aGardener$b Mark$0517232 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910963680003321 996 $aBeginning R$94335822 997 $aUNINA