Best book for r programming

What is R Programming ?

R speech is an open source program maintained by the R core-development staff — group of volunteer programmers from across the planet. R language used for performing statistical operations and is available in the R-Project site TheR Project for Statistical Computing.

R is a command line driven app . The user enters commands at the prompt ( by default) and each command is executed one at a time.

Chapters

  • Chapter 1 :- Introduction of R
  • Chapter 2 :- Variables in R
  • Chapter 3 :- Arithmetic Operators in R
  • Chapter 4 :- Matrices in R
  • Chapter 5 :- Formula in R
  • Chapter 6 :- Reading and writing strings in R
  • Chapter 7 :- String manipulation with stringi package in R
  • Chapter 8 :- Classes in R
  • Chapter 9 :- Lists in R
  • Chapter 10 :- Hashmaps in R
  • Chapter 11 :- Creating vectors in R
  • Chapter 12 :- Date-time classes in R
  • Chapter 13 :-The character class in R
  • Chapter 14 :- The logical class in R
  • Chapter 15 :- Data frames in R
  • Chapter 16 :- Split function in R
  • Chapter 17 :- Linear Models in R
  • Chapter 18 :- Data.table in R
  • Chapter 19 :- Bar Chart in R
  • Chapter 20 :- Base Plotting in R
  • Chapter 21 :- boxplot in R
  • Chapter 22 :- Pattern Matching and Replacement in R
  • Chapter 23 :- Introduction to Geographical Maps
  • Chapter 24 :- Set operations in R
  • Chapter 25 :- R
  • Chapter 26 :- tidyverse in R
  • Chapter 27 :- Random Numbers Generator in R
  • Chapter 28 :- Subsetting in R
  • Chapter 29 :- Debugging in R
  • Chapter 28 :- Installing packages in R
  • Chapter 29 :- Text mining in R
  • Chapter 30 :- ANOVA in R
  • Chapter 31 :- Survival analysis in R
  • Chapter 32 :- Fourier Series and Transformations in R
  • Chapter 33 :- Probability Distributions in R
  • Chapter 34 :- GPU-accelerated computing in R
  • Chapter 35 :- heatmap and heatmap.2 in R
  • Chapter 36 :- Network analysis with the igraph package in R
  • Chapter 37 :- Coercion in R
  • Chapter 38 :- Standardize analyses by writing standalone R scripts in R
  • Chapter 39 :- Updating R version
  • Chapter 40 :- Many more R Programming chapters cover in this book