R for statistics:
Saved in:
| Format: | Book |
|---|---|
| Language: | English French |
| Published: |
Boca Raton, Fla. [u.a.]
CRC Press
2012
|
| Series: | A Chapman & Hall book
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Incl. bibliogr. references and indexes |
| Physical Description: | XIV, 306 S. Ill., graph. Darst. |
| ISBN: | 9781439881453 1439881456 |
Staff View
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| 245 | 1 | 0 | |a R for statistics |c Pierre-André Cornillon ... |
| 264 | 1 | |a Boca Raton, Fla. [u.a.] |b CRC Press |c 2012 | |
| 300 | |a XIV, 306 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
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Record in the Search Index
| _version_ | 1804149305786761216 |
|---|---|
| adam_text | Titel: R for statistics
Autor: Cornillon, Pierre-André
Jahr: 2012
Contents
Preface xiii
I An Overview of R 1
1 Main Concepts 3
1.1 Installing R............................ 3
1.2 Work Session........................... 3
1.2.1 Session in Linux..................... 4
1.2.2 Session in Windows ................... 4
1.2.3 Session on a Mac..................... 5
1.3 Help................................ 5
1.3.1 Online Assistance..................... 5
1.3.2 Help on CRAN...................... 6
1.4 R Objects............................. 6
1.4.1 Creating, Displaying and Deleting Objects....... 6
1.4.2 Type of Object...................... 7
1.4.3 The Missing Value.................... 8
1.4.4 Vectors .......................... 9
1.4.4.1 Numeric Vectors................ 9
1.4.4.2 Character Vectors............... 10
1.4.4.3 Logical Vectors................. 11
1.4.4.4 Selecting Part of a Vector........... 12
1.4.4.5 Selection in Practice.............. 13
1.4.5 Matrices.......................... 13
1.4.5.1 Selecting Elements or Part of a Matrix ... 14
1.4.5.2 Calculating with the Matrices ........ 16
1.4.5.3 Row and Column Operations......... 17
1.4.6 Factors .......................... 18
1.4.7 Lists............................ 20
1.4.7.1 Creating a List................. 20
1.4.7.2 Extraction................... 20
1.4.7.3 A Few List Functions............. 21
1.4.7.4 Dimnames List................. 21
1.4.8 Data-Frames....................... 22
1.5 Functions............................. 23
1.5.1 Arguments of a Function ................ 23
R for Statistics
1.5.2 Output .......................... 24
1.6 Packages ............................. 24
1.6.1 What Is a Package ?................... 24
1.6.2 Installing a Package................... 24
1.6.3 Updating Packages.................... 25
1.6.4 Using Packages...................... 25
1.7 Exercises ............................. 26
Preparing Data 29
2.1 Reading Data from File..................... 29
2.2 Exporting Results ........................ 33
2.3 Manipulating Variables ..................... 34
2.3.1 Changing Type...................... 34
2.3.2 Dividing into Classes................... 35
2.3.3 Working on Factor Levels................ 36
2.4 Manipulating Individuals .................... 39
2.4.1 Identifying Missing Data................. 39
2.4.2 Finding Outliers..................... 42
2.5 Concatenating Data Tables................... 43
2.6 Cross-Tabulation......................... 46
2.7 Exercises ............................. 48
R Graphics 51
3.1 Conventional Graphical Functions ............... 51
3.1.1 The Plot Function.................... 52
3.1.2 Representing a Distribution............... 58
3.1.3 Adding to Graphs.................... 60
3.1.4 Graphs with Multiple Dimensions ........... 64
3.1.5 Exporting Graphs.................... 66
3.1.6 Multiple Graphs..................... 67
3.1.7 Multiple Windows.................... 69
3.1.8 Improving and Personalising Graphs.......... 70
3.2 Graphical Functions with lattice ................ 73
3.2.1 Characteristics of a Lattice Graph.......... 75
3.2.2 Formulae and Groups.................. 76
3.2.3 Customising Graphs................... 79
3.2.3.1 Panel Function................. 79
3.2.3.2 Controlling Size................ 80
3.2.3.3 Panel Layout.................. 81
3.2.4 Exportation........................ 81
3.2.5 Other Packages...................... 82
3.3 Exercises ............................. 82
Contents vii
4 Making Programs with R 87
4.1 Control Flows .......................... 87
4.1.1 Grouped Expressions................... 87
4.1.2 Loops (for or while)................... 87
4.1.3 Conditions (if, else) ................... 89
4.2 Predefined Functions ...................... 90
4.3 Creating a Function....................... 97
4.4 Exercises ............................. 100
II Statistical Methods 101
Introduction to the Statistical Methods Part 103
5 A Quick Start with R 105
5.1 Installing R............................ 105
5.2 Opening and Closing R ..................... 105
5.3 The Command Prompt ..................... 105
5.4 Attribution, Objects, and Function .............. 106
5.5 Selection ............................. 106
5.6 Other............................... 107
5.7 Rcmdr Package.......................... 107
5.8 Importing (or Inputting) Data ................. 107
5.9 Graphs .............................. 108
5.10 Statistical Analysis ....................... 108
6 Hypothesis Test 109
6.1 Confidence Intervals for a Mean ................ 109
6.1.1 Objective......................... 109
6.1.2 Example.......................... 109
6.1.3 Steps ........................... 109
6.1.4 Processing the Example................. 110
6.1.5 Rcmdr Corner....................... 112
6.1.6 Taking Things Further.................. 112
6.2 Chi-Square Test of Independence................ 113
6.2.1 Objective......................... 113
6.2.2 Example.......................... 113
6.2.3 Steps ........................... 113
6.2.4 Processing the Example................. 114
6.2.5 Rcmdr Corner....................... 116
6.2.6 Taking Things Further.................. 117
6.3 Comparison of Two Means ................... 118
6.3.1 Objective......................... 118
6.3.2 Example.......................... 118
6.3.3 Steps ........................... 119
6.3.4 Processing the Example................. 119
6.3.5 Rcmdr Corner....................... 123
i R for Statistics
6.3.6 Taking Things Further.................. 124
6.4 Testing Conformity of a Proportion .............. 125
6.4.1 Objective......................... 125
6.4.2 Example.......................... 125
6.4.3 Step............................ 125
6.4.4 Processing the Example................. 125
6.4.5 Rcmdr Corner....................... 126
6.4.6 Taking Things Further.................. 126
6.5 Comparing Several Proportions ................ 127
6.5.1 Objective......................... 127
6.5.2 Example.......................... 127
6.5.3 Step............................ 127
6.5.4 Processing the Example................. 127
6.5.5 Rcmdr Corner....................... 128
6.5.6 Taking Things Further.................. 128
6.6 The Power of a Test....................... 129
6.6.1 Objective......................... 129
6.6.2 Example.......................... 129
6.6.3 Steps ........................... 129
6.6.4 Processing the Example................. 130
6.6.5 Rcmdr Corner....................... 130
6.6.6 Taking Things Further.................. 131
Regression 133
7.1 Simple Linear Regression .................... 133
7.1.1 Objective......................... 133
7.1.2 Example.......................... 134
7.1.3 Steps ........................... 134
7.1.4 Processing the Example................. 134
7.1.5 Rcmdr Corner....................... 138
7.1.6 Taking Things Further.................. 139
7.2 Multiple Linear Regression ................... 140
7.2.1 Objective......................... 140
7.2.2 Example.......................... 141
7.2.3 Steps ........................... 141
7.2.4 Processing the Example................. 141
7.2.5 Rcmdr Corner....................... 145
7.2.6 Taking Things Further.................. 146
7.3 Partial Least Squares (PLS) Regression............ 147
7.3.1 Objective......................... 147
7.3.2 Example.......................... 147
7.3.3 Steps ........................... 148
7.3.4 Processing the Example................. 148
7.3.5 Rcmdr Corner....................... 153
7.3.6 Taking Things Further.................. 153
Contents ix
8 Analysis of Variance and Covariance 157
8.1 One-Way Analysis of Variance ................. 157
8.1.1 Objectives......................... 157
8.1.2 Example.......................... 158
8.1.3 Steps ........................... 158
8.1.4 Processing the Example................. 159
8.1.5 Rcmdr Corner....................... 164
8.1.6 Taking Things Further.................. 165
8.2 Multi-Way Analysis of Variance with Interaction....... 166
8.2.1 Objective......................... 166
8.2.2 Example.......................... 167
8.2.3 Steps ........................... 167
8.2.4 Processing the Example................. 168
8.2.5 Rcmdr Corner....................... 171
8.2.6 Taking Things Further.................. 172
8.3 Analysis of Covariance ..................... 173
8.3.1 Objective......................... 173
8.3.2 Example.......................... 174
8.3.3 Steps ........................... 175
8.3.4 Processing the Example................. 175
8.3.5 Rcmdr Corner....................... 179
8.3.6 Taking Things Further.................. 179
9 Classification 181
9.1 Linear Discriminant Analysis.................. 181
9.1.1 Objective......................... 181
9.1.2 Example.......................... 182
9.1.3 Steps ........................... 183
9.1.4 Processing the Example................. 183
9.1.5 Rcmdr Corner....................... 188
9.1.6 Taking Things Further.................. 188
9.2 Logistic Regression ....................... 190
9.2.1 Objective......................... 190
9.2.2 Example.......................... 190
9.2.3 Steps ........................... 191
9.2.4 Processing the Example................. 191
9.2.5 Rcmdr Corner....................... 197
9.2.6 Taking Things Further.................. 198
9.3 Decision Tree........................... 199
9.3.1 Objective......................... 199
9.3.2 Example.......................... 199
9.3.3 Steps ........................... 199
9.3.4 Processing the Example................. 199
9.3.5 Rcmdr Corner....................... 208
9.3.6 Taking Things Further.................. 208
x R for Statistics
10 Exploratory Multivariate Analysis 209
10.1 Principal Component Analysis ................. 209
10.1.1 Objective......................... 209
10.1.2 Example.......................... 209
10.1.3 Steps ........................... 210
10.1.4 Processing the Example................. 210
10.1.5 Rcmdr Corner....................... 218
10.1.6 Taking Things Further.................. 219
10.2 Correspondence Analysis .................... 222
10.2.1 Objective......................... 222
10.2.2 Example.......................... 222
10.2.3 Steps ........................... 222
10.2.4 Processing the Example................. 223
10.2.5 Rcmdr Corner....................... 227
10.2.6 Taking Things Further.................. 228
10.3 Multiple Correspondence Analysis ............... 230
10.3.1 Objective......................... 230
10.3.2 Example.......................... 230
10.3.3 Steps ........................... 231
10.3.4 Processing the Example................. 231
10.3.5 Rcmdr Corner....................... 239
10.3.6 Taking Things Further.................. 239
11 Clustering 241
11.1 Ascending Hierarchical Clustering ............... 241
11.1.1 Objective......................... 241
11.1.2 Example.......................... 241
11.1.3 Steps ........................... 241
11.1.4 Processing the Example................. 242
11.1.5 Rcmdr Corner....................... 246
11.1.6 Taking Things Further.................. 247
11.2 The k-Meam Method ...................... 252
11.2.1 Objective......................... 252
11.2.2 Example.......................... 252
11.2.3 Steps ........................... 252
11.2.4 Processing the Example................. 252
11.2.5 Rcmdr Corner....................... 255
11.2.6 Taking Things Further.................. 256
Appendix 257
A.l The Most Useful Functions................... 257
A. 1.1 Generic Functions.................... 257
A.1.2 Numerical Functions................... 257
A. 1.3 Data Handling Functions ................ 258
A. 1.4 Probability Distributions ................ 260
Contents xi
A. 1.5 Basic Statistical Functions................ 261
A. 1.6 Advanced Statistical Functions............. 262
A.1.7 Graphical Functions................... 263
A. 1.8 Import and Export Functions.............. 264
A. 1.9 Text Management .................... 265
A. 1.10 Some Other Useful Functions.............. 265
A.2 Writing a Formula for the Models ............... 266
A.3 The Rcmdr Package ....................... 267
A.4 The FactoMineR Package .................... 269
A.4.1 The FactoMineR Package ................ 269
A.4.2 The Drop-Down Menu.................. 270
A.5 Answers to the Exercises .................... 270
A.5.1 Exercises: Chapter 1................... 270
A.5.2 Exercises: Chapter 2................... 278
A.5.3 Exercises: Chapter 3................... 287
A.5.4 Exercises: Chapter 4................... 292
Bibliography 295
Index of the Functions 297
Index 301
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| id | DE-604.BV040291927 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T00:20:55Z |
| institution | BVB |
| isbn | 9781439881453 1439881456 |
| language | English French |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025147091 |
| oclc_num | 799047278 |
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| owner | DE-11 DE-824 DE-521 DE-384 |
| owner_facet | DE-11 DE-824 DE-521 DE-384 |
| physical | XIV, 306 S. Ill., graph. Darst. |
| publishDate | 2012 |
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| publisher | CRC Press |
| record_format | marc |
| series2 | A Chapman & Hall book |
| spelling | Statistiques avec R R for statistics Pierre-André Cornillon ... Boca Raton, Fla. [u.a.] CRC Press 2012 XIV, 306 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier A Chapman & Hall book Incl. bibliogr. references and indexes Datenverarbeitung R (Computer program language) Mathematical statistics Data processing R Programm (DE-588)4705956-4 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Statistik (DE-588)4056995-0 s R Programm (DE-588)4705956-4 s DE-604 Cornillon, Pierre-André Sonstige oth HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025147091&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | R for statistics Datenverarbeitung R (Computer program language) Mathematical statistics Data processing R Programm (DE-588)4705956-4 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4056995-0 |
| title | R for statistics |
| title_alt | Statistiques avec R |
| title_auth | R for statistics |
| title_exact_search | R for statistics |
| title_full | R for statistics Pierre-André Cornillon ... |
| title_fullStr | R for statistics Pierre-André Cornillon ... |
| title_full_unstemmed | R for statistics Pierre-André Cornillon ... |
| title_short | R for statistics |
| title_sort | r for statistics |
| topic | Datenverarbeitung R (Computer program language) Mathematical statistics Data processing R Programm (DE-588)4705956-4 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Datenverarbeitung R (Computer program language) Mathematical statistics Data processing R Programm Statistik |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025147091&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | UT statistiquesavecr AT cornillonpierreandre rforstatistics |