R Programming

Guide to Step-by-Step R Programming

Nonfiction, Computers, Programming, Software Development, Programming Languages
Cover of the book R Programming by Thanh X.Tran, Thanh X.Tran
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Author: Thanh X.Tran ISBN: 1230003015636
Publisher: Thanh X.Tran Publication: January 3, 2019
Imprint: Language: English
Author: Thanh X.Tran
ISBN: 1230003015636
Publisher: Thanh X.Tran
Publication: January 3, 2019
Imprint:
Language: English
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

R is a programming language and software environment for statistical analysis, graphics representation and reporting. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team. R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows and Mac. This programming language was named R, based on the first letter of first name of the two R authors (Robert Gentleman and Ross Ihaka), and partly a play on the name of the Bell Labs Language S.

Table of contents:

  1. Overview
  2. Environment Setup
  3. Basic Syntax
  4. Data Types
  5. Variables
  6. Operators
  7. Decision Making
  8. Loops
  9. Functions
  10. Strings
  11. Vectors
  12. Lists
  13. Matrices
  14. Arrays
  15. Factors
  16. Data Frames
  17. Packages
  18. Data Reshaping
  19. CSV Files
  20. Excel Files
  21. Binary Files
  22. XML Files
  23. JSON Files
  24. Web Data
  25. Database
  26. Pie Charts
  27. Bar Charts
  28. Boxplots
  29. Histograms
  30. Line Graphs
  31. Scatterplots
  32. Mean, Median & Mode
  33. Linear Regression
  34. Multiple Regression
  35. Logistic Regression
  36. Normal Distribution
  37. Binomial Distribution
  38. Poisson Regression
  39. Analysis of Covariance
  40. Time Series Analysis
  41. Nonlinear Least Square
  42. Decision Tree
  43. Random Forest
  44. Survival Analysis
  45. Chi Square Tests
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R is a programming language and software environment for statistical analysis, graphics representation and reporting. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team. R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows and Mac. This programming language was named R, based on the first letter of first name of the two R authors (Robert Gentleman and Ross Ihaka), and partly a play on the name of the Bell Labs Language S.

Table of contents:

  1. Overview
  2. Environment Setup
  3. Basic Syntax
  4. Data Types
  5. Variables
  6. Operators
  7. Decision Making
  8. Loops
  9. Functions
  10. Strings
  11. Vectors
  12. Lists
  13. Matrices
  14. Arrays
  15. Factors
  16. Data Frames
  17. Packages
  18. Data Reshaping
  19. CSV Files
  20. Excel Files
  21. Binary Files
  22. XML Files
  23. JSON Files
  24. Web Data
  25. Database
  26. Pie Charts
  27. Bar Charts
  28. Boxplots
  29. Histograms
  30. Line Graphs
  31. Scatterplots
  32. Mean, Median & Mode
  33. Linear Regression
  34. Multiple Regression
  35. Logistic Regression
  36. Normal Distribution
  37. Binomial Distribution
  38. Poisson Regression
  39. Analysis of Covariance
  40. Time Series Analysis
  41. Nonlinear Least Square
  42. Decision Tree
  43. Random Forest
  44. Survival Analysis
  45. Chi Square Tests

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