R for programmers: mastering the tools
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton ; London ; New York
CRC Press
[2016]
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XIX, 353 Seiten Illustrationen |
| ISBN: | 9781498736817 |
Staff View
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| adam_text | Contents
Preface..............................................................................xiii
About the Translator.................................................................xvii
Acknowledgments.......................................................................xix
SECTION I BASICS OF R
1 Basic R Packages..................................................................3
1.1 R Is the Most Worthwhile Programming Language to Learn.....................3
1.1-1 Experience with Java..................................................4
1.1.2 Why Choose R?.........................................................4
1.1.2.1 Origin of R..................................................4
1.1.2.2 Development of R...........................................4
1.1.2.3 Communities and Resources of R.............................3
1.1.2.4 Philosophy of R..............................................5
1.1.2.5 Users of R...................................................5
1.1.2.6 Syntax of R..................................................6
1.1.2.7 Thinking Patterns of R.......................................7
1.1.2.8 Problems to Be Solved by R.................................8
1.1.2.9 Shortcomings of R............................................8
1.1.3 Application Prospects of R............................................8
1.1.4 Missions Assigned to Rby the New Era..................................9
1.2 Installation of Different Versions of R......................................9
1.2.1 Installation of R in Windows.........................................10
1.2.2 Installation ofRin Linux Ubuntu......................................10
1.2.3 Installation of Latest Version of R..................................11
1.2.4 Installation of Certain Versions of R................................11
1.2.4.1 Installation of Version 2.153 of R......................... 12
1.2.4.2 Installation of Version 3.0.1 ofR.......................... 12
1.3 fortunes: Records the Wisdom of R.......................................... 12
1.3.1 Introduction to fortunes.............................................13
1.3.2 Installation of fortunes.............................................13
1.33 Use of fortunes......................................................13
1.4 Using formatR to Format Codes Automatically................................14
1.4.1 Introduction to formatR..............................................14
1.4.2 Installation of formatR..............................................15
1.4.3 Use of formatR.......................................................15
v
vi ■ Contents
1.4.3.1 tidy.source: To Format Codes by Inputting a Character String... 15
1.4.3.2 tidy.source: To Format Codes by Inputting Files.............15
1.4.3.3 Formatting and Outputting R Script Files....................16
1.4.3.4 tidy.eval: Output Formatted R Codes and the Run Results.....17
1.4.3.5 usage: Definition of Format Function and Output
with Specific Width..........................................18
1.4.3.6 tidy.gui: A GUI Tool Used to Edit and Format R Codes........19
1.4.3.7 tidy.fir: Format All the R Scripts in Directory dir.........19
1.4.4 Source Code Analysis of formatR.......................................21
1.4.5 bugs in the Source Code...............................................23
1.5 Multiuser Online Collaboration of R Development: RStudio Server..............24
1.5.1 RStudio and RStudio Server............................................24
1.5.2 Installation of RStudio Server........................................24
1.5.3 Use of RStudio Server.................................................25
1.5.3.1 System Configuration of RStudio Server......................25
1.5.3.2 System Management of RStudio Server.........................27
1.5.4 Multiuser Collaboration of RStudio Server.............................28
1.5.4.1 Add New Users and New User Groups...........................28
1.5.4.2 Share of Git Codes..........................................30
1.6 Foolproof Programming of R and JSON..........................................32
1.6.1 Introduction to rjson.................................................33
1.6.1.1 Install and Load rjson......................................34
1.6.1.2 Call Function: fromJSON(): from JSON to R...................34
1.6.1.3 toJSON(): from R to JSON....................................36
1.6.1.4 Converting between the C Library and R Library,
and Performance Test.........................................37
1.6.2 Introduction to RJSONIO............................................. 37
1.6.2.1 Install and Load RJSONIO.................................. 37
1.6.2.2 fromJSON(): from JSON to R..................................38
1.6.2.3 toJSON: from R to JSON......................................38
1.6.2.4 isValidJSONO: Check Whether JSON Is Valid...................40
1.6.2.5 asJSVars(): Convert into a Variable Format of JavaScript....40
1.6.3 Implementation of Customized JSON.....................................40
1.6.4 Performance Comparison of JSON........................................42
1.6.4.1 Serialization Test (toJSON) on a Large Object between rjson
and RJSONIO..................................................42
1.6.4.2 Serialization Test (toJSON) between Output by Lines
and Output by Columns in RJSONIO.............................43
1.7 High-Quality Graphic Rendering Library of R Cairo............................44
1.7.1 Introduction to Cairo.................................................45
1.7.2 Installation of Cairo.................................................45
1.7.3 Use of Cairo..........................................................45
1.7.3.1 Scatterplot.................................................46
1.7.3.2 Three-Dimensional Cross-Sectional View......................47
1.7.3.3 Graphic with Mass Text in It................................49
1.8 A Peculiar Tool Set: caTools................................... 52
1.8.1 Introduction to caTools.............................................. co
Contents ■ vii
1.8.2 Installation of caTools.................................. ..........53
1.8.3 Use of caTools.......................................................54
1.8.3.1 Read/Write Binary Images: gif...............................54
1.8.3.2 Encoder/Decoder of Base64...................................55
1.8.3.3 ROC Curve...................................................57
1.8.3.4 Unordered Combination of Elements of a Vector...............59
1.8.3.5 Trapezoidal Rule of Numerical Integration...................59
1.8.3.6 LogitBoost Classifier.......................................60
1.8.3.7 Quick Calculation Tool: runmean.............................62
1.8.3.8 Combinations of Quick Calculation Tools.....................64
1.8.3.9 Exact Summation.............................................64
2 Basic Packages of Time Series.....................................................67
2.1 Basic l ime Series Library of R: zoo.........................................67
2.1.1 Introduction to zoo..................................................67
2.1.2 Installation of zoo..................................................68
2.1.3 Use of zoo...........................................................69
2.1.3.1 zoo Object..................................................69
2.1.3.2 zooreg Object...............................................70
2.1.3.3 Difference between a zooreg Object and a zoo Object.........72
2.1.3.4 Class Conversion of zoo Object..............................73
2.1.3.5 Draw Time Series Graphs by ggplot2..........................74
2.1.3.6 Data Operation of zoo Object................................75
2.1.3.7 Functional Processing of Data of zoo Object.................78
2.1.3.8 Processing of NA............................................79
2.1.3.9 Display Format of Data......................................82
2.1.3.10 Interval Division...........................................83
2.1.3.11 Read Time Series Data from Files and Create zoo Object......83
2.2 Extensible Time Series: xts.................................................84
2.2.1 Introduction to xts..................................................85
2.2.1.1 Data Structure of xts.......................................85
2.2.1.2 Introduction to API of xts..................................85
2.2.2 Installation of xts................................................ 87
2.2.3 Use of xts...........................................................87
2.2.3.1 Basic Operation of xts Object...............................87
2.2.3.2 Draw Graphics Using xts Objects.............................89
2.2.3.3 Class Conversion of xts Object..............................90
2.2.3.4 Data Processing of xts Objects..............................92
2.23.5 Statistical Calculation of xts Objects......................98
2.23.6 Time Series Operations of xts Objects......................100
2.3 Visualization of Time Series: plot.xts......................................104
2.3.1 Introduction to xtsExtra............................................104
2.3.2 Installation of xtsExtra............................................105
2.3.3 Use of xtsExtra.....................................................105
233.1 K-Line Chart.................••...............*............106
233.2 Configuration on Panel.....................................107
2333 Configuration on Screens.......................................108
viii ■ Contents
233A Configuration on Events.......................................11U
2.3.3.5 Time Series of Double Coordinates.........................113
2.33.6 Convert the xts Class and Draw Graphics...................114
233J Draw Graphs by Barplot.......................................1 !5
3 Performance Monitoring Packages of ...........................................1 ^
3.1 Local Cache Tool of R: memoise............................................117
3.1.1 I ntroduction to memoise..........................................11
3.1.2 Installation of memoise.............................................H8
3.1.3 Use of memoise....................................................
3.1.4 Source Code Analysis of memoise().................................119
3.1.4.1 Source Code of memoise().................................. 120
3.1.4.2 Source Code of forget()...................................120
3.1.4.3 Private Function: Source Code of new_cache()..............121
3.2 Performance Monitoring Tool of R: Rprof................................... 122
3.2.1 Introduction to Rprof()........................................... 122
3.2.2 Definition of RprofQ............................................. 122
3.2.3 Use of Rprof(): A Case Study of Stock Data Analysis............... 123
3.2.4 Use of Rprof(): A Case Study of Data Download..................... 126
3.2.5 To Visualize Performance Indicators Using Profr Package........... 127
3.2.6 Use of Command Line of Rprof...................................... 130
3.2.6.1 Check the Help File of Command Line of Rprof..............130
3.2.6.2 Use of Command Line of Rprof.............................. 130
3.3 Performance Visualization Tool of R: lineprof.............................131
3.3.1 Introduction to lineprof...........................................132
3-3.2 Installation of lineprof...........................................132
3.3.3 Use of lineprof....................................................133
SECTION II R SERVER
4 Cross-Platform Communication of R...............................................139
4.1 Cross-Platform Communication between Rserve and Java......................139
4.1.1 Installation of Rserve.............................................140
4.1.2 Remote Connection between Rserve and Java..........................141
4.1.2.1 Download JAR Package of Java Client........................142
4.1.2.2 Create Java Project in Eclipse.............................142
4.1.2.3 Implementation of Java Programming.........................142
4.2 Rsession Makes It Easier for Java to Call R...............................144
4.2.1 Download of Rsession...............................................144
4.2.1.1 Download the Distribution Directly.........................144
4.2.1.2 Download the Source Code and Compile Distribution..........144
4.2.2 Construct Rsession Projects Using Eclipse..........................146
4.2.3 API Introduction of Rsession.......................................146
4.2.4 Use of Rsession...................................................
4.2.4.1 Server Environment of Rserve...............................147
4.2.4.2 Java Code................................................ I4g
4.2.4.3 Run Journal Output.........................................149
Contents ■ ix
4.3 High-Speed Channel between R and rjava..................................152
4.3.1 Introduction to Rjava............................................152
4.3.2 Installation of Rjava............................................152
4.3.3 Implement R Calling Java Using Rjava.............................153
4.3.4 Implement Java Calling R Using RJava(JRI) (Windows 7)............154
4.3.5 Implement Java Calling R Using RJava(JRI) (Ubuntu)...............157
4.4 Cross-Platform Communication between Node.js and R......................158
4.4.1 Introduction to Node.js..........................................158
4.4.2 Environment Configuration of R...................................159
4.4.3 Environment Configuration of Node.js.............................159
4.4.4 Cross-Platform Communication between Node.js and R...............160
5 Server Implementation of R.....................................................163
5.1 A Detailed Elaboration of the Server Program ofR: Rserve................163
5.1.1 Start of Rserve..................................................164
5.1.1.1 Start the Rserve Server in the Program...................164
5.1.1.2 Start the Rserve Server in the Command Line..............165
5.1.2 Advanced Use of Rserve: Rserve Configuration Management..........166
5.1.3 Advanced Use of Rserve: Users Login Authentication..............169
5.2 Client of Rserve in R: RSclient.........................................170
5.2.1 Configuration of the Rserve Server...............................170
5.2.2 Installation of RSclient.........................................171
5.2.3 API of RSclient.............................................. 172
5.2.4 Use of RSclient..................................................173
5.2.5 Simultaneous Access of Two Clients...............................173
5.3 An R Program Running on the Web: FastRWeb...............................175
5.3.1 Introduction to FastRWeb.................................. ...175
5.3.2 Installation of FastRWeb.........................................176
5.3.3 Use of FastRWeb..................................................177
5.4 Building a WebSocket Server by R........................................180
5.4.1 Introduction to websocket........................................181
5.4.2 Installation of websockets.......................................182
5.4.3 Quickly Start the WebSockets Server Demo....................... 184
5.4.4 Create a WebSocket Server Instance Using R.......................185
5.4.5 Create a WebSocket Client Connection Using R.....................186
5.4.6 Achieve Client Connection through HTML5 Native API of Browsers ....187
SECTION III DATABASE AND BIG DATA
6 Database and NoSQL.............................................................191
6.1 Programming Guidance for the RMySQL Database............................191
6.1.1 Installation of RMySQL in Linux..................................192
6.1.1.1 View the System Environment of Linux.....................192
6.1.1.2 Install RMySQL in R......................................193
6.1.1.3 Create Library and Table in MySQL........................195
6.1.1.4 Read MySQL Data through R................................196
Contents
6.1.2 Installation of RMySQL in Windows 7..............................
6.1.2.1 View the System Environment of Windows 7.................197
6.1.2.2 Installation of RMySQL in R..............................197
6.1.2.3 Create Libraries and Tables in MySQL.....................199
6.1.2.4 Read MySQL Data through R................................2°1
6.1.3 Use of RMySQL Functions...........................................202
6.1.3.1 Auxiliary Function of RMySQL.............................202
6.1.3.2 Operation of RMySQL Database.............................203
6.1.3.3 Character Set Configuration of Windows...................205
6.1.4 Case Practice of RMySQL..........................................206
6.1.4.1 Create Tables in a Remote Database.......................206
6.1.4.2 Use RMySQL to Access MySQL Remotely......................208
6.2 Connecting R with NoSQL: MongoDB.........................................209
6.2.1 Environment Preparation of MongoDB...............................209
6.2.2 Rmongodb Function Library........................................211
6.2.3 Basic Operation of Rmongodb......................................213
6.2.4 A Case of Performance Test of Rmongodb............................216
6.3 Connecting R with NoSQL: Redis...........................................219
6.3.1 Environment Preparation of Redis..................................219
6.3.2 Function Library of rredis.......................................220
6.3.3 Basic Operation of rredis.........................................221
6.3.3.1 Basic Operation of Redis..................................222
6.3.3.2 Operation of Class String.................................223
6.3.3.3 Operation of Class List...................................223
6.3.3.4 Operation of Class Set....................................224
6.3.3.5 Interaction between rredis and Redis-cli.................225
6.3.4 Test Case of rredis...............................................226
6.4 Connecting R with NoSQL: Cassandra.......................................228
6.4.1 Environment Preparation of Cassandra..............................228
6.4.2 Function Library of RCassandra.................................. 229
6.4.2.1 17 Functions..............................................229
6.4.2.2 Comparison of Basic Operations between Cassandra
and RCassandra...........................................230
6.4.3 Basic Operations of RCassandra....................................232
6.4.4 A Case Using RCassandra...........................................234
6.4.5 Decline of Cassandra..............................................235
6.5 Connecting R with NoSQL: Hive............................................236
6.5.1 Environment Preparation of Hive...................................236
6.5.2 Installation of RHive........................................... 238
6.5.3 Function Library of RHive....................................... 238
6.5.4 Basic Operations of RHive.........................................240
6.6 Extract Reverse Repurchase Information from Historical Data Using RHive..242
6.6.1 Introduction of Reverse Repurchase................................243
6.6.2 Storage Structure of Historical Data..............................243
6.6.3 Extract Data Using RHive..........................................243
6.6.4 Strategy Model and Its Implementation.............................247
Contents ■ xi
7 RHadoop......................................................................253
7.1 R Has Injected Statistical Elements into Hadoop.........................253
7.1.1 Introduction to Hadoop...........................................254
7.1.2 Why Should We Combine R with Hadoop?.............................255
7.1.2.1 Why Should We Combine R with Hadoop When
the Hadoop Family Is Already So Powerful?...............255
7.1.2.2 Mahout Can Also Perform Data Mining and Machine Learning. So What s the Difference between R and Mahout? ...255
7.1.3 How to Combine Hadoop with R................................... 256
7.1.3.1 RHadoop.................................................256
7.1.3.2 RHive...................................................256
7.1.3.3 Rewrite Mahout.................................... 256
7.1.3.4 Use Hadoop to Call R.................................. 256
7.1,3-5 R and Hadoop in Real Practice...........................257
7.1.4 Outlook for the Future...........................................257
7.2 Installation and Use of RHadoop.........................................257
7.2.1 Environment Preparation..........................................257
7.2.2 Installation of RHadoop..........................................258
7.2.2.1 Download the Three Relevant Packages of RHadoop.........258
7.2.2.2 For the installation of RHadoop, the Root Authority
Operation Is Recommended................................258
7.2.2.3 Installation of the Dependent Library...................258
7.2.2.4 Install the rhdfs Library...............................259
7.2.2.5 Install the rmr Library.................................260
7.2.2.6 Install the rHBase Library..............................260
7.2.2.7 List All the Packages of RHadoop........................260
7.2.3 Program Development of RHadoop...................................260
7.2.3.1 Basic Operations of rhdfs...............................260
7.2.3.2 Task of the rmr Algorithm...............................262
7.2.3.3 Wordcount Task of the rmr Algorithm.....................263
7.3 RHadoop Experiment: Count the Times of the Appearance of Certain
E-Mail Addresses........................................................265
7.3.1 Demand Description...............................................265
7.3.2 Algorithm Implementation.........................................266
7.3.2.1 Calculate How Many Times the E-Mail Addresses Appear....266
7.3.2.2 Sort the E-Mail Addresses by Their Times of Appearance..268
7.4 Implement the Collaborative Filtering Algorithm by RHadoop
Based on MapReduce......................................................269
7.4.1 I ntroduction to the Collaborative Filtering Algorithm
Based on Item Recommendation.....................................270
7.4.2 Implementation of a Local Program of R...........................271
7.4.2.1 Create a Co-Occurrence Matrix of Items..................271
7.4.2.2 Create a Rating Matrix of Users on Items................271
7.4.2.3 Calculate the Recommendation Result through a Matrix....272
7.4.3 Implement a Distributed Program by R Based on Hadoop.............275
7.4.3.1 Create a Co-Occurrence Matrix of Items..................276
xii ■ Contents
7 A3.2 Create a Rating Matrix of Users on Items...................278
7.4.3.3 Merge the Co-Occurrence Matrix and the Rating Matrix.....279
7 A3 A Calculate the Recommendation Result List...................279
7.4.3.5 Get the Recommendation Rating List in Output Format......280
7.4.3.6 Tips for Using rmr2......................................281
7.5 Installation and Use of RHBase...........................................288
7.5.1 Environment Preparation of HBase .................................289
7.5.2 Installation of rHBase............................................290
7.5.3 Function Library of rHBase........................................290
7.5.3.1 16 Functions of rHBase....................................290
7.5.3.2 Basic Operations between HBase and rHBase................290
7.5.3.3 Execute Base Operations of HBase.........................291
7.6 Solve the Installation Error of RHadoop PipeMapRed.waitOutputThreads()...293
7.6.1 Error Log of rmr2.................................................293
7.6.2 Locate the Error in the Hadoop Log................................294
7.6.3 Find Solutions in Hadoop: Failed..................................296
7.6.4 Find Solutions in RHadoop: Succeeded..............................297
SECTION IV APPENDIXES
Appendix A: Installation of a Java Environment......................................303
Appendix B: Installation of MySQL...................................................309
Appendix C: Installation of Redis...................................................315
Appendix D: Installation of MongoDB.................................................319
Appendix E: Installation of Cassandra................................................323
Appendix F: Installation of Hadoop.................... .............................327
Appendix G: Installation of the Hive Environment.....................................335
Appendix H: Installation of HBase....................................................339
Bibliography.........................................................................345
Index..................................................................................
|
| any_adam_object | 1 |
| author | Zhang, Dan 1964- |
| author_GND | (DE-588)141061375 |
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| author_role | aut |
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| building | Verbundindex |
| bvnumber | BV043504694 |
| classification_rvk | ST 250 |
| ctrlnum | (OCoLC)939549836 (DE-599)HBZHT018875313 |
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| owner | DE-473 DE-BY-UBG DE-703 |
| owner_facet | DE-473 DE-BY-UBG DE-703 |
| physical | XIX, 353 Seiten Illustrationen |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | CRC Press |
| record_format | marc |
| spelling | Zhang, Dan 1964- Verfasser (DE-588)141061375 aut R for programmers mastering the tools Dan Zhang Boca Raton ; London ; New York CRC Press [2016] XIX, 353 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier R Programm (DE-588)4705956-4 gnd rswk-swf R Programm (DE-588)4705956-4 s DE-604 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028921031&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Zhang, Dan 1964- R for programmers mastering the tools R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4705956-4 |
| title | R for programmers mastering the tools |
| title_auth | R for programmers mastering the tools |
| title_exact_search | R for programmers mastering the tools |
| title_full | R for programmers mastering the tools Dan Zhang |
| title_fullStr | R for programmers mastering the tools Dan Zhang |
| title_full_unstemmed | R for programmers mastering the tools Dan Zhang |
| title_short | R for programmers |
| title_sort | r for programmers mastering the tools |
| title_sub | mastering the tools |
| 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=028921031&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT zhangdan rforprogrammersmasteringthetools |