A survivor's guide to R: an introduction for the uninitiated and the unnerved
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Los Angeles [u.a.]
SAGE
2015
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Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XXIV, 460 S. graph. Darst. |
ISBN: | 9781483346731 |
Internformat
MARC
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Datensatz im Suchindex
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adam_text | Detailed Contents List of Tables xiv List of Figures xv About the Author Preface Acknowledgments Chapter 1. Getting Started Things Your Statistics Class Probably Won’t Teach You Why R? Statistical Modeling A Few R Basics Running R and Inputting Commands Comments Command Conventions Parentheses (), Brackets [] and Braces {} Comparison Operators Saving Your Work R Packages Help With R Help Help With R Packages Error Messages Help From the R Community Organization of This Book Chapter 2. A Sample Session Reviewing Your Data Data Visualization Hypothesis Testing A Regression Model A Nonlinear Model xix xx xxiii 1 2 3 4 6 6 11 11 15 16 17 18 19 24 24 25 25 28 29 31 32 35 37
Chapter 3. Object Types in R R Objects and Their Names How to Think About Data Objects in R R Object Storage Modes The Character Storage Mode The Numeric Storage Modes The Logical Storage Mode R Data Object Types The Basic Data Objects: Vectors Vector Indices Vector Operations The Basic Data Objects: Matrices and Their Indices The Basic Data Objects: Data Frames Referencing Data Frame Elements Displaying the Contents of a Data Frame The Basic Data Objects: Lists A Few Things About Working With Objects Object Attributes Objects and Environments R Object Classes The Pseudo Storage Modes Date and Time as Storage Modes Factors Coercing Storage Modes The Curse of Number/Character/Factor Confusion Conclusions Chapter 4. Getting Your Data Into R Entering Data Entering Data With the Concatenate Functions Joining Vectors Into Matrices and Data Frames Entering Data With the R Spreadsheet Creating Data Simple Sequences and Repetitions Generating Factors Random Numbers and Statistical Distributions Importing Data Working With the Working Directory The Read Command: Overview The Read Command: Reading From the Clipboard 40 41 42 44 47 48 48 49 51 53 54 57 60 6l 64 65 70 71 73 74 76 76 77 85 86 92 93 93 93 94 97 98 98 100 101 103 103 105 107
The Read Command: Blank-Delimited Tables The Read Command: Comma-Separated Values The Read Command: Tab-Separated Data The Read Command: Fixed-Width Data Importing Foreign File Types Exporting Data in Foreign Formats Integrating Structured Query Language With R Extracting Data From Complex Data Sources Web Scraping Dealing With Multidimensional Data Importing Problematic Characters More Resources 108 109 110 111 113 115 115 115 116 116 117 118 Chapter 5. Reviewing and Summarizing Data 119 Summary Functions Checking a Sample of Your Data Reviewing Data by Categories Displaying Data With a Histogram Displaying Data With a Scatterplot Scatterplot Matrices Appendix: In Case of Exasperation, Read This! The Big Things The Little Things 122 123 125 128 130 132 133 133 136 Chapter 6. Sorting and Selecting Data 138 Using Index Values to Select Data Using Conditional Values for Selecting Using subset ( ) to Select Data Splitting a Data Set Into Groups Splitting Up Continuous Numeric Data Sorting and Ordering Data Sorting a Variable Ordering a Data Frame 138 140 143 146 149 152 153 153 Chapter 7. Transforming Data Creating New Variables Editing Data Basic Math With R R Functions Math and Logical Functions in R 156 157 157 158 lói 162
Truncation and Rounding Functions The apply () Family of Functions Changing Variable Values Conditionally Creating New Functions Additional R Programming Loops if(){} else{} Character Strings as Program Elements Dynamic Object Names Dynamic R Code Chapter 8. Text Operations Some Useful Text Functions Finding Things Regular Expressions Location Operators The Repetition Operators Other Pattern Operators A Wisdom of Perl Processing Raw Text Data Scraping the Web for Fun and Profit 166 167 175 178 184 185 187 187 187 190 192 195 201 208 212 213 216 219 220 221 Chapter 9- Working With Date and Time Data 230 Dates in R Formatting Dates for R Working With POSIX Dates Special Date Operations Formatting Dates for Output Time-Series Data Creating Moving Averages in Time-Series Data Lagged Variables in Time-Series Data Differencing Variables in Time-Series Data The Limitations of Time-Series Data 231 233 236 239 242 243 246 247 249 250 Chapter 10. Data Merging and Aggregation Data Set Concatenation Adding New Variables: Column Concatenation Adding New Observations: Row Concatenation Match Merging Merging With a Keyed Table Lookup 253 253 254 256 257 262
Aggregating Data Transposing and Rotating Data Sets 2б5 270 Chapter 11. Dealing With Missing Data 272 Reading Data With Missing Values Summarizing Missing Values The Missing Values Functions Recoding Missing Values Missing Values and Regression Modeling Visualizing Missing Data 274 275 276 280 283 284 Chapter 12. R Graphics I: The Built-In Plots 287 Scatterplots Pairs Plots Line Plots Box Plots Histograms, Density Plots, and Bar Charts Dot Charts Pie Charts Mosaic Plots Conclusion 288 289 290 293 296 299 300 302 305 Chapter 13. R Graphics II: The Boring Stuff 306 The Graphics Device Screen-Based Devices Raster/Bitmap Devices Vector-Based Devices Graphics Parameters The Plot Layout Graphic Coordinates in R Overlaying Plots Multiple Plots Conclusion Chapter 14. R Graphics III: The Fun Stuff—Text Adding Text Setting Up a Font The Built-In Fonts The Font-Mapping Approach 306 307 308 309 314 315 319 323 324 329 330 330 332 333 335
The Rdet ga Approach to Font Mapping Font Size and Rotation Titles and Subtitles Creating a Legend Simple Axes and Axis Labels Building More Complex Axes Tick Marks Aves With Dates or Times Ad Hoc Text Chapter 15· R Graphics IV: The Fun Stuff—Shapes Doing Colors Specifying Colon Colors and Transparency Custom Points Connecting the Dots Plotting With symbols () Adding Lines Basic Lines Line Segments A traies Grid Lines Shapes Incorporating Images Into Plots A Final Word About Aesthetics 337 338 339 341 3a8 3֊*9 332 335 ՅՅ9 364 36a 365 368 3~0 У2 Յ՜Յ 3~֊t Յ՜Յ 3՜9 380 383 386 302 308 Chapter l6. From Here to Where? 398 Appendix A. Installing R and Related Programs 401 Installing R Plain and Simple R Extras Start-Up Configuration for R R Packages Updating R Running R and RStudio From aUSB key Appendix B. Statistical Commands Univariate Descriptive Statistics Univariate Data Visualization Bivariate Descriptives: Measuresof Association Hypothesis Testing Cross-Tabulation aOl a()3 aOa r()3 ttr а(Г 408 ֊tOO a la a 16 ail aia
Analysis of Variance Linear Regression 426 428 Appendix C. R Packages Data Management Packages Graphics Packages Miscellaneous Packages 433 433 434 435 Appendix D. Some Style Guidelines Modularity and Program Structure Argument Identification Comments White Space Placement of Parentheses and Braces Naming Conventions The Bottom Line: Clarity and Replicability 436 437 438 438 439 441 442 443 References 444 Data Sources 445 Main Index 446 Index of R Commands and Expressions 455
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author | Gaubatz, Kurt Taylor |
author_GND | (DE-588)171430751 |
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dewey-ones | 005 - Computer programming, programs, data, security |
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dewey-sort | 15.262 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Book |
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isbn | 9781483346731 |
language | English |
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spelling | Gaubatz, Kurt Taylor Verfasser (DE-588)171430751 aut A survivor's guide to R an introduction for the uninitiated and the unnerved Kurt Taylor Gaubatz Los Angeles [u.a.] SAGE 2015 XXIV, 460 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier R Programm (DE-588)4705956-4 gnd rswk-swf R Programm (DE-588)4705956-4 s DE-604 Erscheint auch als Online-Ausgabe, PDF 978-1-4833-4688-5 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027430776&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Gaubatz, Kurt Taylor A survivor's guide to R an introduction for the uninitiated and the unnerved R Programm (DE-588)4705956-4 gnd |
subject_GND | (DE-588)4705956-4 |
title | A survivor's guide to R an introduction for the uninitiated and the unnerved |
title_auth | A survivor's guide to R an introduction for the uninitiated and the unnerved |
title_exact_search | A survivor's guide to R an introduction for the uninitiated and the unnerved |
title_full | A survivor's guide to R an introduction for the uninitiated and the unnerved Kurt Taylor Gaubatz |
title_fullStr | A survivor's guide to R an introduction for the uninitiated and the unnerved Kurt Taylor Gaubatz |
title_full_unstemmed | A survivor's guide to R an introduction for the uninitiated and the unnerved Kurt Taylor Gaubatz |
title_short | A survivor's guide to R |
title_sort | a survivor s guide to r an introduction for the uninitiated and the unnerved |
title_sub | an introduction for the uninitiated and the unnerved |
topic | R Programm (DE-588)4705956-4 gnd |
topic_facet | R Programm |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027430776&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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