R for stata users:
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| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York ; Dordrecht ; Heidelberg ; London
Springer
[2010]
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| Series: | Statistics and computing
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Hier auch später erschienene, unveränderte Nachdrucke |
| Physical Description: | xxiv, 529 Seiten Illustrationen, Diagramme |
| ISBN: | 9781441913173 9781461425960 |
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MARC
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| 100 | 1 | |a Muenchen, Robert A. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a R for stata users |c Robert A. Muenchen ; Joseph M. Hilbe |
| 264 | 1 | |a New York ; Dordrecht ; Heidelberg ; London |b Springer |c [2010] | |
| 264 | 4 | |c © | |
| 300 | |a xxiv, 529 Seiten |b Illustrationen, Diagramme | ||
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| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a Statistik | |
| 650 | 4 | |a R (Computer program language) | |
| 650 | 4 | |a Statistics |x Data processing | |
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Record in the Search Index
| _version_ | 1804142783166939136 |
|---|---|
| adam_text | Titel: R for stata users
Autor: Muenchen, Robert A.
Jahr: 2010
Contents
Preface........................................................ ?
1 Introduction................................................ 1
1.1 Overview............................................... 1
1.2 Similarities Between R and Stata.......................... 2
1.3 Why Learn R?.......................................... 3
1.4 Is R Accurate?.......................................... 4
1.5 What About Tech Support? .............................. 4
1.6 Getting Started Quickly.................................. 5
1.7 Programming Conventions................................ 5
1.8 Typographic Conventions................................. fi
2 Installing and Updating R.................................. )
2.1 Installing Add-on Packages............................... 10
2.2 Loading an Add-on Package.............................. 10
2.3 Updating Your Installation............................... 14
2.4 Uninstalling R.......................................... 15
2.5 Choosing Repositories.................................... 15
2.6 Accessing Data in Packages............................... 17
3 Running R................................................. 1!)
3.1 Running R Interactively on Windows...................... 1Í)
3.2 Running R Interactively on Macintosh..................... 21
3.3 Running R Interactively on Linux or UNIX................. 23
3.4 Running Programs That Include Other Programs............ 25
3.5 Running R in Batch Mode................................ 25
3.6 Graphical User Interfaces................................. 26
3.6.1 R Commander.................................. 26
3.6.2 Rattle for Data Mining .......................... 2!)
3.6.3 JGR Java GUI for R............................. 30
Contents
Help and Documentation................................... 37
4.1 Introduction............................................ 37
4.2 Help Files.............................................. 37
4.3 Starting Help........................................... 37
4.4 Help Examples.......................................... 39
4.5 Help for Functions That Call Other Functions............... 40
4.6 Help for Packages ....................................... 41
4.7 Help for Data Sets....................................... 42
4.8 Books and Manuals...................................... 42
4.9 E-mail Lists............................................ 42
4.10 Searching the Web....................................... 43
4.11 Vignettes............................................... 43
Programming Language Basics ............................. 45
5.1 Introduction............................................ 45
5.2 Simple Calculations...................................... 46
5.3 Data Structures......................................... 47
5.3.1 Vectors ........................................ 47
5.3.2 Factors ........................................ 51
5.3.3 Data Frames.................................... 56
5.3.4 Matrices....................................... 60
5.3.5 Arrays......................................... 63
5.3.6 Lists........................................... 63
5.4 Saving Your Work....................................... 67
5.5 Comments to Document Your Programs.................... 69
5.6 Controlling Functions (Commands)........................ 70
5.6.1 Controlling Functions with Arguments............. 70
5.6.2 Controlling Functions with Formulas............... 72
5.6.3 Controlling Functions with an Object s Class....... 73
5.6.4 Controlling Functions with Extractor Functions..... 75
5.7 How Much Output is There?.............................. 77
5.8 Writing Your Own Functions (Macros)..................... 81
5.9 R Program Demonstrating Programming Basics............. 84
Data Acquisition ........................................... 91
6.1 The R Data Editor...................................... 91
6.2 Reading Delimited Text Files............................. 93
6.2.1 Reading Comma-Delimited Text Files.............. 94
6.2.2 Reading Tab-Delimited Text Files................. 95
6.2.3 Missing Values for Character Variables............. 97
6.2.4 Trouble with Tabs............................... 98
6.2.5 Skipping Variables in Delimited Files.............. 99
6.2.6 Example Programs for Reading Delimited Text
Files........................................... 100
6.3 Reading Text Data Within a Program ..................... 102
Contents xi
6.3.1 The Easy Approach .............................102
6.3.2 The More General Approach......................104
6.3.3 Example Programs for Reading Text Data Within a
Program.......................................104
6.4 Reading Fixed-Width Text Files, One Record per Case.......106
6.4.1 Macro Substitution..............................109
6.4.2 Example Programs for Reading Fixed-Width Text
Files, One Record Per Case.......................110
6.5 Reading Fixed-Width Text Files, Two or More Records per
Case...................................................Ill
6.5.1 Example Programs to Read Fixed-Width Text Files
with Two Records per Case.......................112
6.6 Importing Data from Stata into R.........................113
6.6.1 R Program to Import Data from Stata.............114
6.7 Writing Data to a Comma-Delimited Text File..............114
6.7.1 Example Programs for Writing a Comma-Delimited
File............................................115
6.8 Exporting Data from R to Stata...........................116
7 Selecting Variables .........................................119
7.1 Selecting Variables in Stata...............................119
7.2 Selecting All Variables...................................120
7.3 Selecting Variables Using Index Numbers...................120
7.4 Selecting Variables Using Column Names...................123
7.5 Selecting Variables Using Logic ...........................124
7.6 Selecting Variables Using String Search ....................126
7.7 Selecting Variables Using $ Notation.......................128
7.8 Selecting Variables Using Component Names................129
7.8.1 The attach Function............................129
7.8.2 The with Function..............................130
7.8.3 Using Component Names in Formulas..............130
7.9 Selecting Variables with the subset Function...............131
7.10 Selecting Variables Using List Index.......................132
7.11 Generating Indexes A to Æ from Two Variable Names........132
7.12 Saving Selected Variables to a New Dataset.................133
7.13 Example Programs for Variable Selection...................134
7.13.1 Stata Program to Select Variables.................134
7.13.2 R Program to Select Variables....................134
8 Selecting Observations......................................139
8.1 Selecting Observations in Stata............................139
8.2 Selecting All Observations................................140
8.3 Selecting Observations Using Index Numbers ...............140
8.4 Selecting Observations Using Row Names...................143
8.5 Selecting Observations Using Logic........................145
xii Contents
8.6 Selecting Observations Using String Search.................148
8.7 Selecting Observations Using the subset Function...........150
8.8 Generating Indexes A to Æ from Two Row Names...........151
8.9 Variable Selection Methods with No Counterpart for Selecting
Observations............................................152
8.10 Saving Selected Observations to a New Data Frame..........152
8.11 Example Programs for Selecting Observations...............152
8.11.1 Stata Program to Select Observations..............153
8.11.2 R Program to Select Observations.................153
9 Selecting Variables and Observations.......................157
9.1 The subset Function....................................157
9.2 Selecting Observations by Logic and Variables by Name......158
9.3 Using Names to Select Both Observations and Variables......159
9.4 Using Numeric Index Values to Select Both Observations and
Variables...............................................160
9.5 Using Logic to Select Both Observations and Variables.......161
9.6 Saving and Loading Subsets..............................162
9.7 Example Programs for Selecting Variables and Observations .. 162
9.7.1 Stata Program for Selecting Variables and
Observations....................................162
9.7.2 R Program for Selecting Variables and Observations . 163
10 Data Management..........................................167
10.1 Transforming Variables...................................167
10.1.1 Example Programs for Transforming Variables......171
10.2 Functions or Commands? The apply Function Decides.......172
10.2.1 Applying the mean Function......................173
10.2.2 Finding Í or NVALID...........................176
10.2.3 Example Programs for Applying Statistical
Functions......................................178
10.3 Conditional Transformations .............................180
10.3.1 Example Programs for Conditional
Transformations.................................182
10.4 Multiple Conditional Transformations......................183
10.4.1 Example Programs for Multiple Conditional
Transformations.................................185
10.5 Missing Values..........................................186
10.5.1 Substituting Means for Missing Values.............188
10.5.2 Finding Complete Observations...................189
10.5.3 When 99 Has Meaning.........................190
10.5.4 Example Programs to Assign Missing Values........192
10.6 Renaming Variables (and Observations)....................194
10.6.1 Renaming Variables—Advanced Examples..........196
10.6.2 Renaming by Index..............................197
10.6.3 Renaming by Column Name......................198
Contents xiii
10.6.4 Renaming Many Sequentially Numbered Variable
Names.........................................199
10.6.5 Renaming Observations..........................200
10.6.6 Example Programs for Renaming Variables.........200
10.7 Recoding Variables......................................204
10.7.1 Recoding a Few Variables........................205
10.7.2 Recoding Many Variables ........................205
10.7.3 Example Programs for Recoding Variables..........208
10.8 Keeping and Dropping Variables ..........................209
10.8.1 Example Programs for Keeping and Dropping
Variables.......................................210
10.9 Stacking/Appending Data Sets............................210
10.9.1 Example Programs for Stacking/Appending
Data Sets......................................213
10.10 Joining/Merging Data Sets...............................214
10.10.1 Example Programs for Joining/Merging Data Sets... 217
10.11 Creating Collapsed or Aggregated Data Sets................219
10.11.1 The aggregate Function.........................219
10.11.2 The tapply Function............................221
10.11.3 Merging Aggregates with Original Data............222
10.11.4 Tabular Aggregation.............................224
10.11.5 The reshape Package............................226
10.11.6 Example Programs for Collapsing/Aggregating
Data...........................................226
10.12 By or Split-File Processing ...............................228
10.12.1 Comparing Summarization Methods...............232
10.12.2 Example Programs for By or Split-file Processing___233
10.13 Removing Duplicate Observations.........................234
10.13.1 Example Programs for Removing Duplicate
Observations....................................236
10.14 Selecting First or Last Observations per Group..............237
10.14.1 Example Programs for Selecting Last Observation
per Group......................................239
10.15 Reshaping Variables to Observations and Back..............240
10.15.1 Example Programs for Reshaping Variables to
Observations and Back...........................242
10.16 Sorting Data Frames.....................................243
10.16.1 Example Programs for Sorting Data Sets...........246
10.17 Converting Data Structures...............................247
10.17.1 Converting from Logical to Numeric Index
and Back.......................................250
11 Enhancing Your Output....................................253
11.1 Value Labels or Formats (and Measurement Level) ..........253
11.1.1 Character Factors...............................254
11.1.2 Numeric Factors................................256
xiv Contents
11.1.3 Making Factors of Many Variables.................258
11.1.4 Converting Factors into Numeric or Character
Variables.......................................260
11.1.5 Dropping Factor Levels..........................262
11.1.6 Example Programs for Value Labels or Formats.....263
11.2 Variable Labels .........................................266
11.2.1 Variable Labels in The Hmisc Package.............266
11.2.2 Long Variable Names as Labels...................267
11.2.3 Other Packages That Support Variable Labels......270
11.2.4 Example Programs for Variable Labels.............270
11.3 Output for Word Processing and Web Pages................271
11.3.1 The xtable Package.............................272
11.3.2 Other Options for Formatting Output .............274
11.3.3 Example Programs for Formatting Output .........275
12 Generating Data............................................277
12.1 Generating Numeric Sequences............................278
12.2 Generating Factors......................................279
12.3 Generating Repetitious Patterns (Not Factors)..............280
12.4 Generating Integer Measures..............................281
12.5 Generating Continuous Measures..........................283
12.6 Generating a Data Frame ................................285
12.7 Example Programs for Generating Data....................285
12.7.1 Stata Program for Generating Data................285
12.7.2 R Program for Generating Data...................286
13 Managing Your Files and Workspace.......................291
13.1 Loading and Listing Objects..............................291
13.2 Understanding Your Search Path..........................294
13.3 Attaching Data Frames ..................................296
13.4 Attaching Files..........................................298
13.5 Removing Objects from Your Workspace...................299
13.6 Minimizing Your Workspace..............................301
13.7 Setting Your Working Directory...........................301
13.8 Saving Your Workspace..................................302
13.8.1 Saving Your Workspace Manually.................302
13.8.2 Saving Your Workspace Automatically.............303
13.9 Getting Operating Systems to Show You .RData Files.....303
13.10 Organizing Projects with Windows Shortcuts...............304
13.11 Saving Your Programs and Output........................304
13.12 Saving Your History.....................................305
13.13 Large Data Set Considerations............................305
13.14 Example R Program for Managing Files
and Workspace..........................................307
Contents xv
14 Graphics Overview.........................................311
14.1 Stata Graphics..........................................312
14.2 R Graphics.............................................312
14.3 The Grammar of Graphics................................313
14.4 Other Graphics Packages.................................315
14.5 Graphics Procedures and Graphics Systems.................315
14.6 Graphics Devices........................................31f
14.7 Practice Data: mydatalOO................................318
15 Traditional Graphics........................................31!)
15.1 Bar Plots...............................................319
15.1.1 Bar Plots of Counts.............................319
15.1.2 Bar Plots for Subgroups of Counts.................324
15.1.3 Bar Plots of Means..............................32G
15.2 Adding Titles, Labels, Colors, and Legends.................327
15.3 Graphics Parameters and Multiple Plots on a Page.........330
15.4 Pie Charts..............................................331
15.5 Dot Charts.............................................333
15.6 Histograms.............................................333
15.6.1 Basic Histograms................................334
15.6.2 Histograms Stacked..............................336
15.6.3 Histograms Overlaid.............................337
15.7 Normal QQ Plots........................................341
15.8 Strip Charts............................................342
15.9 Scatter Plots and Line Plots..............................347
15.9.1 Scatter plots with Jitter..........................350
15.9.2 Scatter plots with Large Data Sets................350
15.9.3 Scatter plots with Lines..........................352
15.9.4 Scatter plots with Linear Fit by Group.............353
15.9.5 Scatter plots by Group or Level (Coplots)..........354
15.9.6 Scatter plots with Confidence Ellipse ..............356
15.9.7 Scatter plots with Confidence and Prediction
Intervals.......................................357
15.9.8 Plotting Labels Instead of Points..................362
15.9.9 Scatter plot Matrices............................364
15.10 Dual-Axes Plots.........................................366
15.11 Box Plots ..............................................368
15.12 Error Bar Plots.........................................370
15.13 Interaction Plots........................................370
15.14 Adding Equations and Symbols to Graphs..................371
15.15 Summary of Graphics Elements and Parameters.............372
15.16 Plot Demonstrating Many Modifications....................373
15.17 Example Program for Traditional Graphics.................374
15.17.1 Stata Program for Traditional Graphics............375
15.17.2 R Program for Traditional Graphics...............375
xvi Contents
16 Graphics with ggplot2......................................385
16.1 Introduction............................................385
16.1.1 Overview qplot and ggplot......................386
16.1.2 Missing Values..................................387
16.1.3 Typographic Conventions ........................388
16.2 Bar Plots...............................................389
16.2.1 Pie Charts .....................................392
16.2.2 Bar Charts for Groups...........................393
16.3 Plots by Group or Level..................................394
16.4 Presummarized Data ....................................396
16.5 Dot Charts.............................................397
16.6 Adding Titles and Labels.................................399
16.7 Histograms and Density Plots.............................400
16.7.1 Histograms.....................................400
16.7.2 Density Plots...................................401
16.7.3 Histograms with Density Overlaid.................401
16.7.4 Histograms for Groups, Stacked...................403
16.7.5 Histograms for Groups, Overlaid..................404
16.8 Normal QQ Plots........................................405
16.9 Strip Plots .............................................405
16.10 Scatter Plots and Line Plots..............................408
16.10.1 Scatter Plots with Jitter .........................410
16.10.2 Scatter Plots for Large Data Sets..................411
16.10.3 Hexbin Plots ...................................414
16.10.4 Scatter Plots with Fit Lines......................415
16.10.5 Scatter Plots with Reference Lines.................416
16.10.6 Scatter Plots with Labels Instead of Points.........420
16.10.7 Changing Plot Symbols..........................421
16.10.8 Scatter Plot with Linear Fits by Group............422
16.10.9 Scatter Plots Faceted for Groups..................422
16.10.10 Scatter Plot Matrix..............................424
16.11 Box Plots ..............................................425
16.12 Error Bar Plots.........................................428
16.13 Logarithmic Axes .......................................430
16.14 Aspect Ratio ...........................................430
16.15 Multiple Plots on a Page.................................431
16.16 Saving ggplot2 Graphs to a File..........................433
16.17 An Example Specifying All Defaults.......................433
16.18 Summary of Graphic Elements and Parameters .............435
16.19 Example Programs for ggplot2............................436
17 Statistics...................................................453
17.1 Scientific Notation.......................................453
17.2 Descriptive Statistics ....................................454
17.2.1 The Hmisc describe Function....................454
17.2.2 The summary Function...........................456
Contents xvii
17.2.3 The table Function and Its Relatives..............457
17.2.4 The mean Function and Its Relatives...............459
17.3 Cross-Tabulation........................................460
17.3.1 The CrossTable Function........................460
17.3.2 The tables and chisq. test Functions............462
17.4 Correlation.............................................465
17.4.1 The cor Function...............................468
17.5 Linear Regression.......................................470
17.5.1 Plotting Diagnostics.............................473
17.5.2 Comparing Models..............................474
17.5.3 Making Predictions with New Data................475
17.6 t-Test: Independent Groups...............................476
17.7 Equality of Variance.....................................477
17.8 t-Test: Paired or Repeated Measures.......................478
17.9 Wilcoxon Mann-Whitney Rank Sum Test: Independent
Groups.................................................479
17.10 Wilcoxon Signed-Rank Test: Paired Groups.................480
17.11 Analysis of Variance.....................................481
17.12 Sums of Squares.........................................486
17.13 The Kruskal-Wallis Test .................................487
17.14 Example Programs for Statistical Tests.....................489
17.14.1 Stata Program for Statistical Tests................489
17.14.2 R Program for Statistical Tests ...................491
18 Conclusion .................................................497
Glossary of R jargon...........................................499
Comparison of Stata commands and R functions...............505
Automating Your R Setup.....................................507
C.I Setting Options.........................................507
C.2 Creating Objects........................................508
C.3 Loading Packages .......................................508
C.4 Running Functions......................................508
C.5 Example .Rprofile.......................................510
Example Simulation...........................................511
D.I Stata Example Simulation................................511
D.2 R Example Simulation...................................512
References.....................................................513
Index..........................................................517
|
| any_adam_object | 1 |
| author | Muenchen, Robert A. Hilbe, Joseph M. 1944-2017 |
| author_GND | (DE-588)128751851 |
| author_facet | Muenchen, Robert A. Hilbe, Joseph M. 1944-2017 |
| author_role | aut aut |
| author_sort | Muenchen, Robert A. |
| author_variant | r a m ra ram j m h jm jmh |
| building | Verbundindex |
| bvnumber | BV025599725 |
| callnumber-first | Q - Science |
| callnumber-label | QA276 |
| callnumber-raw | QA276.45.R3 |
| callnumber-search | QA276.45.R3 |
| callnumber-sort | QA 3276.45 R3 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | MR 2200 ST 250 ST 601 |
| classification_tum | DAT 307f MAT 620f |
| ctrlnum | (OCoLC)699729657 (DE-599)BVBBV025599725 |
| dewey-full | 519.502855133 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.502855133 |
| dewey-search | 519.502855133 |
| dewey-sort | 3519.502855133 |
| dewey-tens | 510 - Mathematics |
| discipline | Informatik Soziologie Mathematik |
| format | Book |
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| id | DE-604.BV025599725 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T22:37:15Z |
| institution | BVB |
| isbn | 9781441913173 9781461425960 |
| language | English |
| lccn | 2010921041 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-020195289 |
| oclc_num | 699729657 |
| open_access_boolean | |
| owner | DE-11 DE-473 DE-BY-UBG DE-355 DE-BY-UBR DE-91S DE-BY-TUM DE-83 DE-29 |
| owner_facet | DE-11 DE-473 DE-BY-UBG DE-355 DE-BY-UBR DE-91S DE-BY-TUM DE-83 DE-29 |
| physical | xxiv, 529 Seiten Illustrationen, Diagramme |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Springer |
| record_format | marc |
| series2 | Statistics and computing |
| spelling | Muenchen, Robert A. Verfasser aut R for stata users Robert A. Muenchen ; Joseph M. Hilbe New York ; Dordrecht ; Heidelberg ; London Springer [2010] © xxiv, 529 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Statistics and computing Hier auch später erschienene, unveränderte Nachdrucke Stata Datenverarbeitung Statistik R (Computer program language) Statistics Data processing Statistik (DE-588)4056995-0 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf R Programm (DE-588)4705956-4 s Statistik (DE-588)4056995-0 s b DE-604 Hilbe, Joseph M. 1944-2017 Verfasser (DE-588)128751851 aut Erscheint auch als Online-Ausgabe 978-1-4419-1318-0 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020195289&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Muenchen, Robert A. Hilbe, Joseph M. 1944-2017 R for stata users Stata Datenverarbeitung Statistik R (Computer program language) Statistics Data processing Statistik (DE-588)4056995-0 gnd R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4705956-4 |
| title | R for stata users |
| title_auth | R for stata users |
| title_exact_search | R for stata users |
| title_full | R for stata users Robert A. Muenchen ; Joseph M. Hilbe |
| title_fullStr | R for stata users Robert A. Muenchen ; Joseph M. Hilbe |
| title_full_unstemmed | R for stata users Robert A. Muenchen ; Joseph M. Hilbe |
| title_short | R for stata users |
| title_sort | r for stata users |
| topic | Stata Datenverarbeitung Statistik R (Computer program language) Statistics Data processing Statistik (DE-588)4056995-0 gnd R Programm (DE-588)4705956-4 gnd |
| topic_facet | Stata Datenverarbeitung Statistik R (Computer program language) Statistics Data processing R Programm |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020195289&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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