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How to divide the row values by row sum in R matrix?
To divide matrix row values by row sum in R, we can follow the below steps −
- First of all, create a matrix.
- Then, use apply function to divide the matrix row values by row sum.
Create the matrix
Let’s create a matrix as shown below −
M<-matrix(sample(1:100,75),ncol=3) M
On executing, the above script generates the below output(this output will vary on your system due to randomization) −
[,1] [,2] [,3] [1,] 29 69 82 [2,] 60 22 87 [3,] 86 49 16 [4,] 66 14 96 [5,] 19 92 13 [6,] 90 80 35 [7,] 32 3 30 [8,] 44 2 59 [9,] 24 54 97 [10,] 75 37 70 [11,] 31 58 38 [12,] 76 72 55 [13,] 94 81 95 [14,] 18 28 1 [15,] 78 33 61 [16,] 63 25 93 [17,] 4 47 46 [18,] 21 42 68 [19,] 71 57 62 [20,] 43 12 64 [21,] 40 73 99 [22,] 84 5 15 [23,] 39 56 27 [24,] 45 100 98 [25,] 88 11 7
Divide the matrix row values by row sum
Using apply function to divide the row values of M by row sum −
M<-matrix(sample(1:100,75),ncol=3) M_new<-t(apply(M,1, function(x) x/sum(x))) M_new
Output
[,1] [,2] [,3] [1,] 0.16111111 0.38333333 0.45555556 [2,] 0.35502959 0.13017751 0.51479290 [3,] 0.56953642 0.32450331 0.10596026 [4,] 0.37500000 0.07954545 0.54545455 [5,] 0.15322581 0.74193548 0.10483871 [6,] 0.43902439 0.39024390 0.17073171 [7,] 0.49230769 0.04615385 0.46153846 [8,] 0.41904762 0.01904762 0.56190476 [9,] 0.13714286 0.30857143 0.55428571 [10,] 0.41208791 0.20329670 0.38461538 [11,] 0.24409449 0.45669291 0.29921260 [12,] 0.37438424 0.35467980 0.27093596 [13,] 0.34814815 0.30000000 0.35185185 [14,] 0.38297872 0.59574468 0.02127660 [15,] 0.45348837 0.19186047 0.35465116 [16,] 0.34806630 0.13812155 0.51381215 [17,] 0.04123711 0.48453608 0.47422680 [18,] 0.16030534 0.32061069 0.51908397 [19,] 0.37368421 0.30000000 0.32631579 [20,] 0.36134454 0.10084034 0.53781513 [21,] 0.18867925 0.34433962 0.46698113 [22,] 0.80769231 0.04807692 0.14423077 [23,] 0.31967213 0.45901639 0.22131148 [24,] 0.18518519 0.41152263 0.40329218 [25,] 0.83018868 0.10377358 0.06603774
Updated on: 14-Aug-2021
2K+ Views
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