How to divide the data frame row values in R by row median?

To divide the data frame row values by row median in R, we can follow the below steps −

• First of all, create a data frame.
• Then, use apply function to divide the data frame row values by row median.

Create the data frame

Let's create a data frame as shown below −

 Live Demo

x<-sample(1:100,25)
y<-sample(1:100,25)
z<-sample(1:100,25)
df<-data.frame(x,y,z)
df

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

  x  y  z
1 8 88  9
2 27 82 20
3 65 63 22
4 89 92 71
5 77 29 35
6 67 76 79
7 100 60 99
8 73 90 21
9 68 85 3
10 50 91 1
11 39 86 2
12 83 84 45
13 20 2 77
14 86 80 8
15 45 72 46
16 14 47 60
17 34 62 49
18 94 44 93
19 42 89 25
20 55 25 4
21 66 97 32
22 85 37 92
23 28 100 19
24 59 51 53
25 93 81 84

Divide the data frame row values by row median

Using apply function to divide the row values of df by row median −

 Live Demo

x<-sample(1:100,25)
y<-sample(1:100,25)
z<-sample(1:100,25)
df<-data.frame(x,y,z)
df_new<-t(apply(df,1, function(x) x/median(x)))
df_new

Output

          x          y       z
[1,] 0.8888889 9.7777778 1.00000000
[2,] 1.0000000 3.0370370 0.74074074
[3,] 1.0317460 1.0000000 0.34920635
[4,] 1.0000000 1.0337079 0.79775281
[5,] 2.2000000 0.8285714 1.00000000
[6,] 0.8815789 1.0000000 1.03947368
[7,] 1.0101010 0.6060606 1.00000000
[8,] 1.0000000 1.2328767 0.28767123
[9,] 1.0000000 1.2500000 0.04411765
[10,] 1.0000000 1.8200000 0.02000000
[11,] 1.0000000 2.2051282 0.05128205
[12,] 1.0000000 1.0120482 0.54216867
[13,] 1.0000000 0.1000000 3.85000000
[14,] 1.0750000 1.0000000 0.10000000
[15,] 0.9782609 1.5652174 1.00000000
[16,] 0.2978723 1.0000000 1.27659574
[17,] 0.6938776 1.2653061 1.00000000
[18,] 1.0107527 0.4731183 1.00000000
[19,] 1.0000000 2.1190476 0.59523810
[20,] 2.2000000 1.0000000 0.16000000
[21,] 1.0000000 1.4696970 0.48484848
[22,] 1.0000000 0.4352941 1.08235294
[23,] 1.0000000 3.5714286 0.67857143
[24,] 1.1132075 0.9622642 1.00000000
[25,] 1.1071429 0.9642857 1.00000000