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How to find the row product of a matrix in R?
To find the row product of a matrix in R, we can use apply function along with prod function. For example, if we have a matrix called M then to find the row product of a matrix we can use the command apply(M,1,prod). We need to remember that the output will be a vector not matrix. Check out the below examples to understand how to perform the row product of the matrix.
Example
Consider the below matrix −
M1<-matrix(rpois(40,5),ncol=2) M1
Output
[,1] [,2] [1,] 2 7 [2,] 5 5 [3,] 4 6 [4,] 6 8 [5,] 9 4 [6,] 5 8 [7,] 6 4 [8,] 5 4 [9,] 6 4 [10,] 6 8 [11,] 6 8 [12,] 9 5 [13,] 2 5 [14,] 3 3 [15,] 10 9 [16,] 3 4 [17,] 5 7 [18,] 5 8 [19,] 6 3 [20,] 5 9
Finding row product for matrix M1 −
Example
apply(M1,1,prod)
Output
[1] 14 25 24 48 36 40 24 20 24 48 48 45 10 9 90 12 35 40 18 45
Example
M2<-matrix(rpois(40,1),ncol=2) M2
Output
[,1] [,2] [1,] 2 0 [2,] 0 0 [3,] 1 0 [4,] 1 2 [5,] 0 1 [6,] 3 1 [7,] 1 1 [8,] 3 2 [9,] 0 2 [10,] 2 0 [11,] 0 1 [12,] 1 0 [13,] 2 0 [14,] 0 1 [15,] 0 1 [16,] 0 2 [17,] 3 1 [18,] 2 3 [19,] 0 1 [20,] 2 1
Finding row product for matrix M2 −
Example
apply(M2,1,prod)
Output
[1] 0 0 0 2 0 3 1 6 0 0 0 0 0 0 0 0 3 6 0 2
Example
M3<-matrix(round(rnorm(40,1,0.5),1),ncol=2) M3
Output
[,1] [,2] [1,] 1.1 0.2 [2,] 1.5 1.2 [3,] 1.4 0.7 [4,] 1.6 1.4 [5,] 1.4 0.2 [6,] 1.1 1.0 [7,] 0.6 0.9 [8,] 1.5 1.5 [9,] 0.5 -0.1 [10,] 1.3 0.4 [11,] 0.4 0.7 [12,] 1.3 1.1 [13,] 1.3 0.5 [14,] 0.5 0.6 [15,] 0.9 0.4 [16,] 0.8 0.8 [17,] 0.7 0.3 [18,] 0.3 1.7 [19,] 1.5 0.9 [20,] 0.4 2.2
Finding row product for matrix M3 −
Example
apply(M3,1,prod)
Output
[1] 0.22 1.80 0.98 2.24 0.28 1.10 0.54 2.25 -0.05 0.52 0.28 1.43 [13] 0.65 0.30 0.36 0.64 0.21 0.51 1.35 0.88
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