R for Everyone:Advanced Analytics and Graphics
By: Lander,Jared P.
Material type:
BookPublisher: Noida Pearson India Education Services Pvt. Ltd. 2019Edition: 2nd.Description: 528.ISBN: 978-93-868-7352-1.Subject(s): ProgrammingDDC classification: 005.13
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BSDU Knowledge Resource Center, Jaipur General Stacks | 005.13 LAN (Browse shelf) | Available | 018016 |
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| 005.10685 SHA Software Quality Engineering | 005.117 SUM Programming in Python 3: A complete introduction to the python language | 005.13 KUM Programming Languages | 005.13 LAN R for Everyone:Advanced Analytics and Graphics | 005.133 AGA Programming For Problem Solving | 005.133 BAL Introduction to Computing and Problem Solving Using Python | 005.133 BRE Scipy and Numpy |
Table of Content
Chapter 1: Getting R
Chapter 2: The R Environment
Chapter 3: R Packages
Chapter 4: Basics of R
Chapter 5: Advanced Data Structures
Chapter 6: Reading Data into R
Chapter 7: Statistical Graphics
Chapter 8: Writing R functions
Chapter 9: Control Statements
Chapter 10: Loops, the Un-R Way to Iterate
Chapter 11: Group Manipulation
Chapter 12: Faster Group Manipulation with dplyr
Chapter 13: Iterating with purrr
Chapter 14: Data Reshaping
Chapter 15: Reshaping Data in the Tidyverse
Chapter 16: Manipulating Strings
Chapter 17: Probability Distributions
Chapter 18: Basic Statistics
Chapter 19: Linear Models
Chapter 20: Generalized Linear Models
Chapter 21: Model Diagnostics
Chapter 22: Regularization and Shrinkage
Chapter 23: Nonlinear Models
Chapter 24: Time Series and Autocorrelation
Chapter 25: Clustering
Chapter 26: Model Fitting with Caret
Chapter 27: Reproducibility and Reports with knitr
Chapter 28: Rich Documents with RMarkdown
Chapter 29: Interactive Dashboards with Shiny
Chapter 30: Building R Packages
Appendix A: Real-Life Resources
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