02020nam 2200637 450 991046005220332120200520144314.01-58983-954-4(CKB)3710000000238328(SSID)ssj0001335645(PQKBManifestationID)12506998(PQKBTitleCode)TC0001335645(PQKBWorkID)11294463(PQKB)10323498(MiAaPQ)EBC3118328(Au-PeEL)EBL3118328(CaPaEBR)ebr10930228(CaONFJC)MIL767743(OCoLC)891397143(EXLCZ)99371000000023832820140920h20142014 uy 0engurcnu||||||||txtccrMemory and identity in ancient Judaism and early Christianity a conversation with Barry Schwartz /edited by Tom ThatcherAtlanta, Georgia :Society of Biblical Literature,2014.©20141 online resource (372 pages)Semeia Studies Series ;Number 78Bibliographic Level Mode of Issuance: Monograph1-58983-953-6 1-58983-952-8 Includes bibliographical references and index.Group identityCollective memoryChurch historyPrimitive and early church, ca. 30-600JewsIdentityJudaismHistoryPost-exilic period, 586 B.C.-210 A.DElectronic books.Group identity.Collective memory.Church historyJewsIdentity.JudaismHistory296.09/014Thatcher Tom1967-Schwartz Barry1946-MiAaPQMiAaPQMiAaPQBOOK9910460052203321Memory and identity in ancient Judaism and early Christianity2128411UNINA04712nam 2200661 a 450 991045203110332120210719162050.01-280-68463-197866136615791-118-22616-X(CKB)2550000000103621(EBL)836575(OCoLC)794663330(SSID)ssj0000676789(PQKBManifestationID)12322620(PQKBTitleCode)TC0000676789(PQKBWorkID)10685332(PQKB)11408425(MiAaPQ)EBC836575(CaSebORM)9781118239377(Au-PeEL)EBL836575(CaPaEBR)ebr10565178(CaONFJC)MIL366157(EXLCZ)99255000000010362120120612d2012 uy 0engur|n|---|||||txtccrBeginning R the statistical programming language /Mark Gardener1st editionIndianapolis John Wiley & Sons20121 online resource (507 p.)Wrox programmer to programmerIncludes index.1-118-23937-7 1-118-16430-X Beginning 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 RSummaryChapter 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; SummaryChapter 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 RegressionMultiple 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 12IndexAdvertisementConquer 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 sR (Computer program language)StatisticsData processingElectronic books.R (Computer program language)StatisticsData processing.519.50285536Gardener Mark517232MiAaPQMiAaPQMiAaPQBOOK9910452031103321Beginning R2221864UNINA