Like other programming languages, R supports many different data types. You must have seen that variables are used to store data in a program and a data type is assigned to a variable and that variable can hold only that type of data. In this post, we'll learn about R data types and R objects.
Basic data types in R programming are Numeric, Integer, Character, Logical and Complex and other than this R has some unique data types that are called R Objects.
Vectors in R
A Vector is basically a set of values of the same basic data type like numeric character etc. Vector in R is created using the c() function that represents a combination of elements.
See this example
# A Numeric Vector numeric_vector <- c(10, 20, 30) # A Character Vector character_vector <- c("a", "b", "c") # A Boolean Vector boolean_vector <-c(TRUE,FALSE,TRUE)
The output on R Console is
Matrices in R
R supports Matrices and a Matrix is a collection of data values in 2 dimensions of the same basic data type, R creates a matrix of values using a matrix() function.
See this example
Here c(1,2,3,4,5,6,7,8,9) is a numeric vector
nrow is the number of rows in the matrix
ncol is the number of columns in the matrix
#Create a matrix using Vector test_matrix<-matrix(c(1,2,3,4,5,6,7,8,9), nrow=3, ncol=3) #Print matrix on console print(test_matrix)
The output on R Console is
Arrays in R
Arrays are the same as any other programming language and in R, an array is the same as a matrix but it can have more than two dimensions. Array in R is created using the array() function and uses a vector as input and dim value to create arrays.
Here dim =c(2,2,4) means that 4 arrays will be created of 2x2.
#We have two vectors here v1 <- c(1,2,3,7,8,9) v2 <- c(4,5,6,10,11,12,13,14,15,16) #Create array using vectors test_array <- array(c(v1,v2),dim = c(2,2,4)) #print the array on the console print(test_array)
The output on R Console is
Lists in R
A List is a set of values that can have different basic data types, In R List is created using the list() function.
#A list with different data types #Declare a numeric vector numeric_vector<-c(1,2,3) #Create list test_list<- list("Ashish Awasthi", numeric_vector, 5.3) #Print list print(test_list)
The output on R Console
Factors in R
Factors are created using vectors as base and stores unique values as levels, In R Factor object is created using factor() function.
# Create a vector with duplicate values emp_names <- c('James','Ram','James','Ashish','Ram','Ashish','James','Ram') # Create a factor object using vector factor_emp <- factor(emp_names) # Print the factor object print(factor_emp)
The output on R Console is
Data Frames in R
Data Frame is used for storing data in tables, and this tabular data can have multiple types of vectors like numeric, characters etc. Data Frame can be created using data.frame() function.
#A Character Vector string_vector <-c("Ashish", "Awasthi","R") #A Numeric Vector numeric_vector <- c(10, 20, 30.5) #A Boolean Vector boolean_vector<- c(TRUE, FALSE, TRUE) # Create the data frame using all 3 vectors test_df <- data.frame(string_vector,numeric_vector,boolean_vector) #Print result print(test_df)
The output on R Console
Though this post gives an idea of using variables, In the next post, we'll learn more about using variables in R programming.
Cheers :) Happy Learning
