# 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