Practicing R for Statistical Computing

Muhammad Aslam is Professor at the Department of Statistics in Bahauddin Zakariya University, Multan, Pakistan. He holds a Ph.D. in Statistics, a Master’s degree in Statistics, and a Post-Graduate Diploma in Computer Programming and Computing Statistics from the same university. He also completed his Post-Doctorate from the Institut de Mathematiques de Bourgogne, Dijon, France. Professor Aslam’s research is mainly focused on regression analysis and statistical inference, with a particular interest in simulation studies using computer programming. With more than 25 years of teaching experience, he has published more than 120 research articles in several prestigious international journals. Nine research scholars have successfully completed their Ph.D. degrees under his guidance. Muhammad Imdad Ullah, the co-author of this book, is among these scholars.  Muhammad Imdad Ullah is Assistant Professor at the Department of Statistics, Ghazi University,Dera Ghazi Khan, Pakistan. He received his Ph.D. degree from Bahauddin Zakariya University. He has also earned a Post-Graduate Diploma in Computer Programming and Computing Statistics. His Ph.D. work is about the development of R packages addressing linear regression models with the issue of multicollinearity. This work led to the development of three R packages—mctest, lmridge and liureg—and three research articles based on these packages were published in The R Journal. His area of expertise includes computer programming and statistical computations. With over 14 years of teaching experience, he has authored 11 research publications.

• Chapter 1. R Language: Introduction.- Chapter 2. Obtaining and Installing R Language.- Chapter 3. Using R as a Calculator.- Chapter 4. Data Mode and Data Structure.- Chapter 5. Working with Data.- Chapter 6. Descriptive  Statistics.- Chapter 7. Probability and Probability Distributions.- Chapter 8. Confidence Intervals and Comparison Tests.- Chapter 9. Correlation & Regression Analysis.- Chapter 10. Graphing in R.- Chapter 11. Control Flow: election and Iteration.- Chapter 12. Functions and R Resources.- Chapter 13. Common Errors and Mistakes.- Chapter 14. Functions for Better Programming.- Chapter 15. Some Useful Functions.- Chapter 16. Important Packages.