Nitendra Gautam

Data Types and Variables in R

R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.

Everything in R is an object . In this post we see the data type and variables in R programming langauge.

Variable Types

  • character - Strings
  • integer- Integers
  • numeric - Integers and Fractions
  • logical -Boolean
  • complex - Complex numbers
  • factor -Categorical variable where each label is a category

Data Structures in R

R intuitively decides variable type in the background and assigns a class to the variable. R has variety of data types and is case sensitive when defining variables. A variable named ‘a’ is not same as ‘A’.

  • Atomic Vectors(numerical ,Integer,character ,logical)
  • Matrix
  • Data Frames
  • Lists
  • Factors

Here Atomic means

R provides many functions to examine features of vectors and other object .

  • class() : Gives information about the object on high level
  • typeof(): Gives information about the object’s data type on low level
  • length(): Gives the length of the object
  • attributes(): gives the information about the metadata if the object has

Variable in R

Variables in R are typically assigned using <- but can alos be assigned using <- or -> ,as in x <-1 or 1 -> x

#Create variables in R and assign some value
x <- 139 +121

# Overwrite variables in R
x <- x/60

# Assign Character Values
myName <- "Nitendra Gautam"

"Nitendra Gautam" -> newName

typeof(myName) # Gives the data type of myName

# To remove the variable from Memory use rm(variable_name) command
# Removes the variables x from Memory 

Order of Operation in R

In order to put emphasis on order of operations use the small bracket.

For example : totalHours <- (139 + 121) /60

Numeric Data Type

It includes the numbes that contains decimal point which is default .

# Assign a value of 3 to  variable a
a <- 3

# Check Data Types in R 
paste(" Class of A is ", class(a))

# Convert numeric data type into integer
b <- as.integer(a)
paste("Class of B is " , class(b ))

Character Data Type

d <-"Nitendra Gautam"
paste("Class of d is ",class(d))

e <- '12345'
paste(" class of e is ",class(e))

Factors Data Type

Factors data type refer the qualitative variables .An example can be “Good”” and “Bad”.

factorVariable <- factor(c("male","female"))


#Factors Levels

#Class of the factor

#Class of Factor Levels

#Number of Levels

Logical data Type

k <- "TRUE"

# Create a factor variable with 3 Levels and 6 Items
sV <- factor(c("good","bad","ugly","good","bad","ugly"))




Vector are type of object which is used to store multiple data of same data type

Technically, vectors can be one of two types:

  • atomic vectors
  • lists

In general vector refers to the atomic types not the lists Vector can have character ,integer,numeric or logical value.

v1 <- c(1,2,5.3,6,-2,4,5) # create a Numeric Vector 
v2 <- c("one","two","three","four","five") # Character Vector
v3 <- c(TRUE,FALSE,TRUE,FALSE) # Logical Vector

# Refer to the element of the vector using Subscript 
v1[c(3,4)]  #Third and Fourth Elements of Vector

v1[4] # Get Fourth Element from Vector V1

v1[2:6]  # Get elements fomr 2nd to 6th element 

class(v2) # Class of Character Vector

v2[2:5] # Get elements from second to 5th element

 typeof(v2)  #Gives the types of Vector V2

Adding Elements in character Vector

z <-c("Sam","Ram","Hari")

## Add oneelements in Vector
z <- c(z,"Mike")

## Add Another elements in Vector
z <- c(z,"Shyam")

Given a Large Vector find the first and Last Element of the Vector

ab <- c(1:50) # Large vector from 1 to 50

ab[1] # Get the first Element 
ab[length(ab)] # Get the last element which will be at the index equal to length of Vector



R Data Structures

R Project