R cookbook proven recipes for data analysis, statistics, and graphics
"Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R im...
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| Hauptverfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Beijing
O'Reilly
2019
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| Ausgabe: | Second edition |
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| Online-Zugang: | FAB01 FHD01 FUBA2 UER01 UPA01 |
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| 245 | 1 | 0 | |a R cookbook |b proven recipes for data analysis, statistics, and graphics |c J.D. Long and Paul Teetor |
| 250 | |a Second edition | ||
| 264 | 1 | |a Beijing |b O'Reilly |c 2019 | |
| 300 | |a 1 Online-Ressource (xvii, 579 Seiten) | ||
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| 500 | |a Includes index | ||
| 505 | 8 | |a Getting started and getting help -- Some basics -- Navigating the software -- Input and output -- Data structures -- Data transformations -- Useful tricks -- Beyond basic numerics and statistics -- Time series analysis -- Simple programming -- R markdown and publishing | |
| 520 | |a "Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an intermediate user, this book will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process." -- | ||
| 650 | 4 | |a R (Computer program language) | |
| 650 | 4 | |a Mathematical statistics / Graphic methods / Data processing | |
| 650 | 4 | |a Statistics / Data processing | |
| 650 | 4 | |a Multiple comparisons (Statistics) | |
| 650 | 7 | |a MATHEMATICS / Applied |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS / Probability & Statistics / General |2 bisacsh | |
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Datensatz im Suchindex
| _version_ | 1804180635395293184 |
|---|---|
| any_adam_object | |
| author | Long, J. D. Teetor, Paul |
| author_GND | (DE-588)1191282287 (DE-588)119366361X |
| author_facet | Long, J. D. Teetor, Paul |
| author_role | aut aut |
| author_sort | Long, J. D. |
| author_variant | j d l jd jdl p t pt |
| building | Verbundindex |
| bvnumber | BV046228092 |
| classification_rvk | ST 250 |
| collection | ZDB-30-PQE ZDB-4-NLEBK |
| contents | Getting started and getting help -- Some basics -- Navigating the software -- Input and output -- Data structures -- Data transformations -- Useful tricks -- Beyond basic numerics and statistics -- Time series analysis -- Simple programming -- R markdown and publishing |
| ctrlnum | (OCoLC)1126559575 (DE-599)BVBBV046228092 |
| discipline | Informatik |
| edition | Second edition |
| format | Electronic eBook |
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| id | DE-604.BV046228092 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:38:54Z |
| institution | BVB |
| isbn | 9781492040637 9781492040651 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031606615 |
| oclc_num | 1126559575 |
| open_access_boolean | |
| owner | DE-1050 DE-739 DE-578 DE-1043 DE-29 |
| owner_facet | DE-1050 DE-739 DE-578 DE-1043 DE-29 |
| physical | 1 Online-Ressource (xvii, 579 Seiten) |
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| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | O'Reilly |
| record_format | marc |
| spelling | Long, J. D. Verfasser (DE-588)1191282287 aut R cookbook proven recipes for data analysis, statistics, and graphics J.D. Long and Paul Teetor Second edition Beijing O'Reilly 2019 1 Online-Ressource (xvii, 579 Seiten) txt rdacontent c rdamedia cr rdacarrier Includes index Getting started and getting help -- Some basics -- Navigating the software -- Input and output -- Data structures -- Data transformations -- Useful tricks -- Beyond basic numerics and statistics -- Time series analysis -- Simple programming -- R markdown and publishing "Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an intermediate user, this book will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process." -- R (Computer program language) Mathematical statistics / Graphic methods / Data processing Statistics / Data processing Multiple comparisons (Statistics) MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Mathematical statistics / Graphic methods / Data processing fast Multiple comparisons (Statistics) fast R (Computer program language) fast Statistics / Data processing fast R Programm (DE-588)4705956-4 gnd rswk-swf R Programm (DE-588)4705956-4 s DE-604 Teetor, Paul Verfasser (DE-588)119366361X aut Erscheint auch als Druck-Ausgabe 978-1-492-04068-2 |
| spellingShingle | Long, J. D. Teetor, Paul R cookbook proven recipes for data analysis, statistics, and graphics Getting started and getting help -- Some basics -- Navigating the software -- Input and output -- Data structures -- Data transformations -- Useful tricks -- Beyond basic numerics and statistics -- Time series analysis -- Simple programming -- R markdown and publishing R (Computer program language) Mathematical statistics / Graphic methods / Data processing Statistics / Data processing Multiple comparisons (Statistics) MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Mathematical statistics / Graphic methods / Data processing fast Multiple comparisons (Statistics) fast R (Computer program language) fast Statistics / Data processing fast R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4705956-4 |
| title | R cookbook proven recipes for data analysis, statistics, and graphics |
| title_auth | R cookbook proven recipes for data analysis, statistics, and graphics |
| title_exact_search | R cookbook proven recipes for data analysis, statistics, and graphics |
| title_full | R cookbook proven recipes for data analysis, statistics, and graphics J.D. Long and Paul Teetor |
| title_fullStr | R cookbook proven recipes for data analysis, statistics, and graphics J.D. Long and Paul Teetor |
| title_full_unstemmed | R cookbook proven recipes for data analysis, statistics, and graphics J.D. Long and Paul Teetor |
| title_short | R cookbook |
| title_sort | r cookbook proven recipes for data analysis statistics and graphics |
| title_sub | proven recipes for data analysis, statistics, and graphics |
| topic | R (Computer program language) Mathematical statistics / Graphic methods / Data processing Statistics / Data processing Multiple comparisons (Statistics) MATHEMATICS / Applied bisacsh MATHEMATICS / Probability & Statistics / General bisacsh Mathematical statistics / Graphic methods / Data processing fast Multiple comparisons (Statistics) fast R (Computer program language) fast Statistics / Data processing fast R Programm (DE-588)4705956-4 gnd |
| topic_facet | R (Computer program language) Mathematical statistics / Graphic methods / Data processing Statistics / Data processing Multiple comparisons (Statistics) MATHEMATICS / Applied MATHEMATICS / Probability & Statistics / General R Programm |
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