The Resource R cookbook, Paul Teetor
R cookbook, Paul Teetor
Resource Information
The item R cookbook, Paul Teetor represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item R cookbook, Paul Teetor represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
- Summary
- With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform other basic functions Input and output data Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals, and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data "Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language--one practical example at a time."--Jeffrey Ryan, software consultant and R package author
- Language
- eng
- Edition
- 1st ed.
- Extent
- 1 online resource (xviii, 413 pages)
- Contents
-
- Ch. 1. Getting Started and Getting Help
- Ch. 2. Some Basics
- Ch. 3. Navigating the Software
- Ch. 4. Input and Output
- Ch. 5. Data Structures
- Ch. 6. Data Transformations
- Ch. 7. Strings and Dates
- Ch. 8. Probability
- Ch. 9. General Statistics
- Ch. 10. Graphics
- Ch. 11. Linear Regression and ANOVA
- Ch. 12. Useful Tricks
- Ch. 13. Beyond Basic Numerics and Statistics
- Ch. 14. Time Series Analysis
- Isbn
- 9780596809157
- Label
- R cookbook
- Title
- R cookbook
- Statement of responsibility
- Paul Teetor
- Subject
-
- Computer Graphics
- Datenanalyse
- Electronic Data Processing
- Electronic book
- Mathematical statistics -- Graphic methods | Data processing
- Mathematical statistics -- Graphic methods | Data processing
- Multiple comparisons (Statistics)
- Multiple comparisons (Statistics)
- Open Source
- Programming Languages
- R (Computer program language)
- R (Computer program language)
- R (Computer program language)
- Software
- Statistics
- Statistics -- Data processing
- Statistics -- Data processing
- Statistik
- R
- Language
- eng
- Summary
- With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform other basic functions Input and output data Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals, and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data "Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language--one practical example at a time."--Jeffrey Ryan, software consultant and R package author
- Cataloging source
- UMI
- http://library.link/vocab/creatorDate
- 1954-
- http://library.link/vocab/creatorName
- Teetor, Paul
- Dewey number
- 519.502855133
- Illustrations
- illustrations
- Index
- index present
- LC call number
- QA276.45.R3
- LC item number
- T44 2011
- Literary form
- non fiction
- Nature of contents
- dictionaries
- NLM call number
- QA 276.45 .R3
- NLM item number
- T258r 2011
- http://library.link/vocab/subjectName
-
- R (Computer program language)
- Mathematical statistics
- Statistics
- Multiple comparisons (Statistics)
- Electronic Data Processing
- Programming Languages
- Software
- Statistics
- Computer Graphics
- R (Computer program language)
- Mathematical statistics
- Multiple comparisons (Statistics)
- R (Computer program language)
- Statistics
- Statistik
- Datenanalyse
- Open Source
- R
- Label
- R cookbook, Paul Teetor
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Ch. 1. Getting Started and Getting Help -- Ch. 2. Some Basics -- Ch. 3. Navigating the Software -- Ch. 4. Input and Output -- Ch. 5. Data Structures -- Ch. 6. Data Transformations -- Ch. 7. Strings and Dates -- Ch. 8. Probability -- Ch. 9. General Statistics -- Ch. 10. Graphics -- Ch. 11. Linear Regression and ANOVA -- Ch. 12. Useful Tricks -- Ch. 13. Beyond Basic Numerics and Statistics -- Ch. 14. Time Series Analysis
- Control code
- 733755354
- Dimensions
- unknown
- Edition
- 1st ed.
- Extent
- 1 online resource (xviii, 413 pages)
- Form of item
- online
- Isbn
- 9780596809157
- Lccn
- 2011282768
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations
- http://library.link/vocab/ext/overdrive/overdriveId
- cl0500000094
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)733755354
- Label
- R cookbook, Paul Teetor
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Ch. 1. Getting Started and Getting Help -- Ch. 2. Some Basics -- Ch. 3. Navigating the Software -- Ch. 4. Input and Output -- Ch. 5. Data Structures -- Ch. 6. Data Transformations -- Ch. 7. Strings and Dates -- Ch. 8. Probability -- Ch. 9. General Statistics -- Ch. 10. Graphics -- Ch. 11. Linear Regression and ANOVA -- Ch. 12. Useful Tricks -- Ch. 13. Beyond Basic Numerics and Statistics -- Ch. 14. Time Series Analysis
- Control code
- 733755354
- Dimensions
- unknown
- Edition
- 1st ed.
- Extent
- 1 online resource (xviii, 413 pages)
- Form of item
- online
- Isbn
- 9780596809157
- Lccn
- 2011282768
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- illustrations
- http://library.link/vocab/ext/overdrive/overdriveId
- cl0500000094
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)733755354
Subject
- Computer Graphics
- Datenanalyse
- Electronic Data Processing
- Electronic book
- Mathematical statistics -- Graphic methods | Data processing
- Mathematical statistics -- Graphic methods | Data processing
- Multiple comparisons (Statistics)
- Multiple comparisons (Statistics)
- Open Source
- Programming Languages
- R (Computer program language)
- R (Computer program language)
- R (Computer program language)
- Software
- Statistics
- Statistics -- Data processing
- Statistics -- Data processing
- Statistik
- R
Genre
Member of
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/R-cookbook-Paul-Teetor/sU4J5vOJdRM/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/R-cookbook-Paul-Teetor/sU4J5vOJdRM/">R cookbook, Paul Teetor</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
