Syntax error How to multiply vector values in sequence with matrix columns in R?

How to multiply vector values in sequence with matrix columns in R?

To multiply vector values in sequence with matrix columns in R, we can follow the below steps −

  • First of all, create a matrix.

  • Then, create a vector.

  • After that, use t function for transpose and multiplication sign * to multiply vector values in sequence with matrix columns.

Example

Create the data frame

Let’s create a data frame as shown below −

M<-matrix(round(rnorm(75),2),ncol=3)
M

Output

On executing, the above script generates the below output(this output will vary on your system due to randomization) −

       [,1]   [,2]   [,3]
[1,]    0.51  2.05  0.30
[2,]   -0.74  0.18 -1.50
[3,]    0.63 -2.03 -1.16
[4,]    0.17  0.33 -0.68
[5,]    0.39 -1.87  0.06
[6,]   -0.69  0.49 -0.54
[7,]   -0.38  1.39 -2.19
[8,]   -0.01 -1.14 -0.47
[9,]   -1.19 -0.26  0.44
[10,]  -0.80 -1.29  1.89
[11,]   1.31  0.00  0.30
[12,]   0.03 -0.92  0.90
[13,]   1.00 -1.04 -0.05
[14,]   0.82 -1.63  2.71
[15,]  -0.89  0.41 -0.46
[16,]   0.19  2.30  0.62
[17,]  -1.17 -0.36  0.23
[18,]   0.15 -0.05  0.04
[19,]   0.83 -0.02  0.30
[20,]   0.99  0.92 -0.09
[21,]  -1.19  0.81  1.44
[22,]   0.79 -0.02  0.45
[23,]   1.51 -1.30  1.41
[24,]   0.73  0.32 -0.92
[25,]   0.98 -0.64 -1.33

Create the vector

Let’s create a vector as shown below −

V<-1:3
V

Output

[1] 1 2 3

Multiply vector values in sequence with matrix columns

Using t function for transpose and multiplication sign * to multiply V values in sequence with columns of matrix M as shown below −

M<-matrix(round(rnorm(75),2),ncol=3)
V<-1:3
t(t(M)*V)

Output

      [,1]  [,2]   [,3]
[1,]   0.51  4.10  0.90
[2,]  -0.74  0.36 -4.50
[3,]   0.63 -4.06 -3.48
[4,]   0.17  0.66 -2.04
[5,]   0.39 -3.74  0.18
[6,]  -0.69  0.98 -1.62
[7,]  -0.38  2.78 -6.57
[8,]  -0.01 -2.28 -1.41
[9,]  -1.19 -0.52  1.32
[10,] -0.80 -2.58  5.67
[11,]  1.31  0.00  0.90
[12,]  0.03 -1.84  2.70
[13,]  1.00 -2.08 -0.15
[14,]  0.82 -3.26  8.13
[15,] -0.89  0.82 -1.38
[16,]  0.19  4.60  1.86
[17,] -1.17 -0.72  0.69
[18,]  0.15 -0.10  0.12
[19,]  0.83 -0.04  0.90
[20,]  0.99  1.84 -0.27
[21,] -1.19  1.62  4.32
[22,]  0.79 -0.04  1.35
[23,]  1.51 -2.60  4.23
[24,]  0.73  0.64 -2.76
[25,]  0.98 -1.28 -3.99
Updated on: 2021-11-08T11:04:12+05:30

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