Practicing R for statistical computing
Aslam, Muhammad
Practicing R for statistical computing - Singapore Springer 2023 - xvii, 292 p.
Table of content:
Front Matter
Pages i-xvii
Download chapter PDF
R Language: Introduction
Muhammad Aslam, Muhammad Imdad Ullah
Pages 1-6
Obtaining and Installing R Language
Muhammad Aslam, Muhammad Imdad Ullah
Pages 7-17
Using R as a Calculator
Muhammad Aslam, Muhammad Imdad Ullah
Pages 19-25
Data Mode and Data Structure
Muhammad Aslam, Muhammad Imdad Ullah
Pages 27-43
Working with Data
Muhammad Aslam, Muhammad Imdad Ullah
Pages 45-82
Descriptive Statistics
Muhammad Aslam, Muhammad Imdad Ullah
Pages 83-100
Probability and Probability Distributions
Muhammad Aslam, Muhammad Imdad Ullah
Pages 101-148
Confidence Intervals and Comparison Tests
Muhammad Aslam, Muhammad Imdad Ullah
Pages 149-172
Correlation and Regression Analysis
Muhammad Aslam, Muhammad Imdad Ullah
Pages 173-187
Graphing in R
Muhammad Aslam, Muhammad Imdad Ullah
Pages 189-223
Control Flow: Selection and Iteration
Muhammad Aslam, Muhammad Imdad Ullah
Pages 225-241
Functions and R Resources
Muhammad Aslam, Muhammad Imdad Ullah
Pages 243-250
Common Errors and Mistakes
Muhammad Aslam, Muhammad Imdad Ullah
Pages 251-261
Functions for Better Programming
Muhammad Aslam, Muhammad Imdad Ullah
Pages 263-272
Some Useful Functions
Muhammad Aslam, Muhammad Imdad Ullah
Pages 273-287
Important Packages
Muhammad Aslam, Muhammad Imdad Ullah
Pages 289-292
[https://link.springer.com/book/10.1007/978-981-99-2886-6)
This book is designed to provide a comprehensive introduction to R programming for data analysis, manipulation and presentation. It covers fundamental data structures such as vectors, matrices, arrays and lists, along with techniques for exploratory data analysis, data transformation and manipulation. The book explains basic statistical concepts and demonstrates their implementation using R, including descriptive statistics, graphical representation of data, probability, popular probability distributions and hypothesis testing. It also explores linear and non-linear modeling, model selection and diagnostic tools in R.
The book also covers flow control and conditional calculations by using ‘‘if’’ conditions and loops and discusses useful functions and resources for further learning. It provides an extensive list of functions grouped according to statistics classification, which can be helpful for both statisticians and R programmers. The use of different graphic devices, high-level and low-level graphical functions and adjustment of parameters are also explained. Throughout the book, R commands, functions and objects are printed in a different font for easy identification. Common errors, warnings and mistakes in R are also discussed and classified with explanations on how to prevent them.
(https://link.springer.com/book/10.1007/978-981-99-2886-6)
9789819928880
Statistical computing
005.133 / ASL
Practicing R for statistical computing - Singapore Springer 2023 - xvii, 292 p.
Table of content:
Front Matter
Pages i-xvii
Download chapter PDF
R Language: Introduction
Muhammad Aslam, Muhammad Imdad Ullah
Pages 1-6
Obtaining and Installing R Language
Muhammad Aslam, Muhammad Imdad Ullah
Pages 7-17
Using R as a Calculator
Muhammad Aslam, Muhammad Imdad Ullah
Pages 19-25
Data Mode and Data Structure
Muhammad Aslam, Muhammad Imdad Ullah
Pages 27-43
Working with Data
Muhammad Aslam, Muhammad Imdad Ullah
Pages 45-82
Descriptive Statistics
Muhammad Aslam, Muhammad Imdad Ullah
Pages 83-100
Probability and Probability Distributions
Muhammad Aslam, Muhammad Imdad Ullah
Pages 101-148
Confidence Intervals and Comparison Tests
Muhammad Aslam, Muhammad Imdad Ullah
Pages 149-172
Correlation and Regression Analysis
Muhammad Aslam, Muhammad Imdad Ullah
Pages 173-187
Graphing in R
Muhammad Aslam, Muhammad Imdad Ullah
Pages 189-223
Control Flow: Selection and Iteration
Muhammad Aslam, Muhammad Imdad Ullah
Pages 225-241
Functions and R Resources
Muhammad Aslam, Muhammad Imdad Ullah
Pages 243-250
Common Errors and Mistakes
Muhammad Aslam, Muhammad Imdad Ullah
Pages 251-261
Functions for Better Programming
Muhammad Aslam, Muhammad Imdad Ullah
Pages 263-272
Some Useful Functions
Muhammad Aslam, Muhammad Imdad Ullah
Pages 273-287
Important Packages
Muhammad Aslam, Muhammad Imdad Ullah
Pages 289-292
[https://link.springer.com/book/10.1007/978-981-99-2886-6)
This book is designed to provide a comprehensive introduction to R programming for data analysis, manipulation and presentation. It covers fundamental data structures such as vectors, matrices, arrays and lists, along with techniques for exploratory data analysis, data transformation and manipulation. The book explains basic statistical concepts and demonstrates their implementation using R, including descriptive statistics, graphical representation of data, probability, popular probability distributions and hypothesis testing. It also explores linear and non-linear modeling, model selection and diagnostic tools in R.
The book also covers flow control and conditional calculations by using ‘‘if’’ conditions and loops and discusses useful functions and resources for further learning. It provides an extensive list of functions grouped according to statistics classification, which can be helpful for both statisticians and R programmers. The use of different graphic devices, high-level and low-level graphical functions and adjustment of parameters are also explained. Throughout the book, R commands, functions and objects are printed in a different font for easy identification. Common errors, warnings and mistakes in R are also discussed and classified with explanations on how to prevent them.
(https://link.springer.com/book/10.1007/978-981-99-2886-6)
9789819928880
Statistical computing
005.133 / ASL