Matrices are the R objects in which the elements are arranged in a two-dimensional rectangular layout. They contain elements of the same atomic types. Though we can create a matrix containing only characters or only logical values, they are not of much use. We use matrices containing numeric elements to be used in mathematical calculations.

A Matrix is created using the matrix() function.

Syntax

The basic syntax for creating a matrix in R is −

# matrix(data, nrow, ncol, byrow, dimnames)

Following is the description of the parameters used −

Example

Create a matrix taking a vector of numbers as input.

# Elements are arranged sequentially by row.
M <- matrix(c(3:14), nrow = 4, byrow = TRUE)
print(M)
##      [,1] [,2] [,3]
## [1,]    3    4    5
## [2,]    6    7    8
## [3,]    9   10   11
## [4,]   12   13   14
# Elements are arranged sequentially by column.
N <- matrix(c(3:14), nrow = 4, byrow = FALSE)
print(N)
##      [,1] [,2] [,3]
## [1,]    3    7   11
## [2,]    4    8   12
## [3,]    5    9   13
## [4,]    6   10   14
# Define the column and row names.
rownames = c("row1", "row2", "row3", "row4")
colnames = c("col1", "col2", "col3")

P <- matrix(c(3:14), nrow = 4, byrow = TRUE, dimnames = list(rownames, colnames))
print(P)
##      col1 col2 col3
## row1    3    4    5
## row2    6    7    8
## row3    9   10   11
## row4   12   13   14

Accessing Elements of a Matrix

Elements of a matrix can be accessed by using the column and row index of the element. We consider the matrix P above to find the specific elements below.

# Define the column and row names.
rownames = c("row1", "row2", "row3", "row4")
colnames = c("col1", "col2", "col3")

# Create the matrix.
P <- matrix(c(3:14), nrow = 4, byrow = TRUE, dimnames = list(rownames, colnames))

# Access the element at 3rd column and 1st row.
print(P[1,3])
## [1] 5
# Access the element at 2nd column and 4th row.
print(P[4,2])
## [1] 13
# Access only the  2nd row.
print(P[2,])
## col1 col2 col3 
##    6    7    8
# Access only the 3rd column.
print(P[,3])
## row1 row2 row3 row4 
##    5    8   11   14

Matrix Computations

Various mathematical operations are performed on the matrices using the R operators. The result of the operation is also a matrix.

The dimensions (number of rows and columns) should be same for the matrices involved in the operation.

1.Matrix Addition & Subtraction

# Create two 2x3 matrices.
matrix1 <- matrix(c(3, 9, -1, 4, 2, 6), nrow = 2)
print(matrix1)
##      [,1] [,2] [,3]
## [1,]    3   -1    2
## [2,]    9    4    6
matrix2 <- matrix(c(5, 2, 0, 9, 3, 4), nrow = 2)
print(matrix2)
##      [,1] [,2] [,3]
## [1,]    5    0    3
## [2,]    2    9    4
# Add the matrices.
result <- matrix1 + matrix2
cat("Result of addition","\n")
## Result of addition
print(result)
##      [,1] [,2] [,3]
## [1,]    8   -1    5
## [2,]   11   13   10
# Subtract the matrices
result <- matrix1 - matrix2
cat("Result of subtraction","\n")
## Result of subtraction
print(result)
##      [,1] [,2] [,3]
## [1,]   -2   -1   -1
## [2,]    7   -5    2

2.Matrix Multiplication & Division

# Create two 2x3 matrices.
matrix1 <- matrix(c(3, 9, -1, 4, 2, 6), nrow = 2)
print(matrix1)
##      [,1] [,2] [,3]
## [1,]    3   -1    2
## [2,]    9    4    6
matrix2 <- matrix(c(5, 2, 0, 9, 3, 4), nrow = 2)
print(matrix2)
##      [,1] [,2] [,3]
## [1,]    5    0    3
## [2,]    2    9    4
# Multiply the matrices.
result <- matrix1 * matrix2
cat("Result of multiplication","\n")
## Result of multiplication
print(result)
##      [,1] [,2] [,3]
## [1,]   15    0    6
## [2,]   18   36   24
# Divide the matrices
result <- matrix1 / matrix2
cat("Result of division","\n")
## Result of division
print(result)
##      [,1]      [,2]      [,3]
## [1,]  0.6      -Inf 0.6666667
## [2,]  4.5 0.4444444 1.5000000