Changing row and column values of a Matrix in R Language - sweep() function

Modify values of a Data Frame in R Language - transform() Function

Last Updated : 26 May, 2020

transform() function in R Language is used to modify data. It converts the first argument to the data frame. This function is used to transform/modify the data frame in a quick and easy way.

Syntax: transform(data, value) Parameters: data: Data Frame to be modified value: new modified value of data

Example 1: Use transform() on variables

Python3

# R program to illustrate
# transform on variables

# Create example data frame
data <- data.frame(x1 = c(1, 2, 3, 4),            
                   x2 = c(5, 6, 7, 8))

 # Apply transform function
data_ex1 <- transform(data, x1 = x1 + 10)  

# Print data      
print(data_ex1)

Output:

x1= 11, 12, 13, 14.
x2 = 5, 6, 7, 8.

Here in the above code, we have a data framework and we transform it by adding 10(x1 = x1 + 10) to each of the values. The values of x2 will not get changed as we do not apply any transformation to it. Example 2: Add new variables to data

Python3

# R program to illustrate 
# Adding new variables to data

data <- data.frame(x1 = c(11, 12, 13, 14),            
                   x2 = c(5, 6, 7, 8))

# Apply transform function
data_ex2 <- transform(data, x3 = c(1, 3, 3, 4))  

print(data_ex2)

Output:

X1= 11, 12, 13, 14.
X2 = 5, 6, 7, 8.
X3 = 1, 3, 3, 4.

Here in the above code, we are adding a new variable x3 to the previous data.

Changing row and column values of a Matrix in R Language - sweep() function

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