We recommend to you install and use the latest version of R and RStudio IDE.

The common R data types for research are numeric, factor, and character.

Numeric

a <- c(-1, -3, 0, 5, 7, 8, 4, 6.3, 10)

• "<-" is assignment operator
• "c()" function combines values into a vector or list.
• We can get help about functions by using question mark and the name of the function, for example:

  ?c()
  

  Factor

  drink_vector <- (c('milk', 'water', 'juice'))
  drink_vector
  # [1] "milk"  "water" "juice"
  drink_factor <- factor(drink_vector)
  drink_factor
  # [1] milk  water juice
  # Levels: juice milk water
  

  Character

  d<-c('Hellow world', 'R is fun!')
  d
  # [1] "Hellow world" "R is fun!"
  

  Create dataframe:

  a <- c(1, 3, 5, 7)
  b <- c(2, 4, 6, 8)
  df<-data.frame(a, b)
  df
  

  Add a column with $ operator

  df$new_column <- c(1, 2, 3, 4)
  df
  

  Add a column with cbind function

  df <- cbind(df, new_new_column = c('a', 'b', 'c', 'd'))
  df
  

  View df as table in RStudio

  view(df)
  

  Get names of dataframe

  names(df)
  

  Display the Structure of the dataframe

  str(df)
  

  Summary

  summary(df)