Convert a Data Frame into a Numeric Matrix in R Programming – data.matrix() Function
Last Updated :
16 Jun, 2020
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data.matrix() function in R Language is used to create a matrix by converting all the values of a Data Frame into numeric mode and then binding them as a matrix.
Syntax: data.matrix(df)
Parameters:
df: Data frame to be converted.
Example 1:
# R program to convert a data frame # into a numeric matrix # Creating a dataframe df1 = data.frame( "Name" = c("Amar", "Akbar", "Ronald"), "Language" = c("R", "Python", "C#"), "Age" = c(26, 38, 22) ) # Printing data frame print(df1) # Converting into numeric matrix df2 <- data.matrix(df1) df2 |
Output:
Name Language Age
1 Amar R 26
2 Akbar Python 38
3 Ronald C# 22
Name Language Age
[1, ] 2 3 26
[2, ] 1 2 38
[3, ] 3 1 22
Example 2:
# R program to convert a data frame # into a numeric matrix # Creating a dataframe df <- data.frame(sample(LETTERS[1:4], 8, replace = T), cbind(1:4, 1:8)) colnames(df) <- c("x", "y", "z") # Printing data frame print(df) # Converting into numeric matrix df2 <- data.matrix(df) df2 |
Output:
x y z
1 A 1 1
2 D 2 2
3 C 3 3
4 A 4 4
5 B 1 5
6 B 2 6
7 A 3 7
8 C 4 8
x y z
[1, ] 1 1 1
[2, ] 4 2 2
[3, ] 3 3 3
[4, ] 1 4 4
[5, ] 2 1 5
[6, ] 2 2 6
[7, ] 1 3 7
[8, ] 3 4 8
