Azad Rasul
SmartRS

SmartRS

1- Data types in R

Azad Rasul's photo
Azad Rasul

Published on Jul 15, 2021

1 min read

Subscribe to my newsletter and never miss my upcoming articles

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)
    
 
Share this
Proudly part of