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Beginning R : the statistic...
Chapter 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
Conquer 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.
Monografía
monografia Rebiun25230086 https://catalogo.rebiun.org/rebiun/record/Rebiun25230086 m o d cr cn||||||||| 120612s2012 inuac o 001 0 eng d 2012937909 816348896 847369885 961633411 962651289 1044327119 1056420450 1060819663 1065726443 1074317851 1081282746 1083237918 1103263105 1109572838 1129361604 1148194610 1162066345 9781118226162 e-book) 111816430X 9781118164303 111822616X ebk) 9781118226162 ebk) 9781118239377 ebk) 1118239377 ebk) 9781118264126 ebk) 1118264126 ebk) 9781280684630 1280684631 9781118164303 9786613661579 6613661570 CL0500000172 Safari Books Online E7B eng pn E7B OCLCO COO DEBSZ UMI OUP YDXCP OCLCQ OCLCO U9X OCLCQ OCLCF OCLCQ AZK MOR PIFAG OCLCQ BUF STF WRM CEF NRAMU VT2 OCLCQ WYU UAB EQK VLY Gardener, Mark Beginning R the statistical programming language Mark Gardener Indianapolis John Wiley & Sons 2012 Indianapolis Indianapolis John Wiley & Sons 1 online resource (xxvii, 475 pages) illustrations (some color), portrait 1 online resource (xxvii, 475 pages) Text txt rdacontent computer c rdamedia online resource cr rdacarrier data file rda Wrox programmer to programmer Includes index 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 R. Chapter 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 Chapter 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 Conquer 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. English R (Computer program language) Statistics- Data processing R (Computer program language) Statistics- Data processing Electronic books Electronic book Electronic books Print version Gardener, Mark. Beginning R : the statistical programming language. Hoboken : John Wiley & Sons, ©2012 9781118164303 (DLC) 2012937909 Programmer to programmer