Learn data analysis using R

*Contents are summerised by myself primarily from books, github projects, medium posts and RStudio materials

*some code are editted with runing results with R Studio, others are only the codes without the result return

Part 1 Math_in_R

This part is about how to apply basic math calculation with R functions

Part 2 R_Language

This part is about some special functions used in R

• create a sequence
• repeat data to enlarge the data size
• sort
• vector related: length, subset, extract, basic mathematical operations
• matrix related: create, combine data, subset, extract, extract diagonal, omit, overwrite, transpose
• linear Algebra in matrix: multiplication, inversion
• array related: subset
• relational operators
• logical operators: 'logical is number', 'use logical to subset'
• index position
• string related: create, concatenation, match, subset
• levels related: create, check, relabel, cut
• list related: create, rename, extract, check size, add data

Part 3 Some_Special_Values_in_R

• infinity(inf)
• NaN(not a number)
• NA(not existing)
• NULL(empty)

Part 4 Types_and_Classes

• attributes
• object class
• as-dot coercion

Part 5 Tidyverse_dplyr_markdown

• filter
• select
• arrange
• mutate
• summarise
• group_by
• joins: inner, outer, left, right, semi, anti
• rank with window functions

Part 6 Tidyverse_tidyr

Part 7 Tidyverse_readr

Part 8 Tidyverse_tibble

Part 9 Tidyverse_ggplot2

Part 10 Tidyverse_stringr

Part 11 Tidyverse_forcats

Part 12 Tidyverse_purrr