:notebook: This book is currently under development and has been designed as a support for students who are following (or are interested in) courses that provide the basic knowledge to master "statistical programming" with R. Compiled textbook:
Matt and I thought a table of content would be a good idea. Here is a rough draft of a possible outline of the textbook based on what we discussed. Could you please review it and let me know what you think?
Chapter 2 to 8 could form the first part of the book, we could call it "Introduction to R" or something similar. Chapter 9 to 10 could be the second part, maybe "Sharing your code". Chapter 11 could be the third part ("Case Studies") and then we would transform the section of this chapter into individuals chapter. Chapter 12 and up could be the last part (maybe "Advanced topics") but I haven't given much to this so far.
I think this textbook could be used (at least) for two different classes:
1) Basic intro to R which would not cover everything, for example: Chap 1 -> Chap 2 -> Chap 4 (only data frame) -> Chap 5 -> Chap 6
2) An more complete introduction which would cover the entire book.
Let me know what you think! Thanks!
[x] Chapter 1: Introduction
[x] What is the goal of the textbook
[x] Why R
[x] Maybe something on Rstudio
[x] Chapter 2: Rmarkdown
[x] @munsheet could you please fill this part
[x] Chapter 3: GitHub
[x] @munsheet could you please fill this part
[x] Chapter 4: Data structure
[x] Vectors
[x] Matrices
[x] Array
[x] List
[x] Data frames
[ ] Chapter 5: Data manipulation
[ ] @mdbeckman could you fill this part?
[ ] Chapter 6: Graphics
[ ] Introduction to base graph in R
[ ] Introduction to ggplot2
[ ] Add shiny app(s)
[x] Chapter 7: Control Structures + Logical operators
[x] Logical operators (if, if/else, if/elseif/else and switch)
[x] Iteration Controls (for, while)
[x] Chapter 8: Functions
[x] @robertomolinari could you fill this part?
[ ] Chapter 9: Style guide
[ ] I think this part can be a much shorter version of chapter 5 of Haldey's book (advanced R).
Hi everyone,
Matt and I thought a table of content would be a good idea. Here is a rough draft of a possible outline of the textbook based on what we discussed. Could you please review it and let me know what you think?
Chapter 2 to 8 could form the first part of the book, we could call it "Introduction to R" or something similar. Chapter 9 to 10 could be the second part, maybe "Sharing your code". Chapter 11 could be the third part ("Case Studies") and then we would transform the section of this chapter into individuals chapter. Chapter 12 and up could be the last part (maybe "Advanced topics") but I haven't given much to this so far.
I think this textbook could be used (at least) for two different classes:
1) Basic intro to R which would not cover everything, for example: Chap 1 -> Chap 2 -> Chap 4 (only data frame) -> Chap 5 -> Chap 6 2) An more complete introduction which would cover the entire book.
Let me know what you think! Thanks!