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How to subtract column values from column means in R data frame?
To subtract column values from column means in R data frame, we can follow the below steps −
- First of all, create a data frame.
- Then, find the column means using colMeans function.
- After that, subtract column values from column means.
Creating the data frame
Let's create a data frame as shown below −
> x1<-sample(1:100,20) > x2<-sample(1:100,20) > x3<-sample(1:100,20) > df<-data.frame(x1,x2,x3) > df
On executing, the above script generates the below output(this output will vary on your system due to randomization) −
x1 x2 x3 1 54 73 57 2 79 52 92 3 87 51 47 4 13 12 1 5 70 90 19 6 15 99 9 7 56 81 22 8 75 68 82 9 63 11 67 10 40 50 71 11 45 42 94 12 32 80 50 13 80 83 33 14 6 27 5 15 91 100 36 16 52 60 46 17 76 9 6 18 19 2 64 19 18 97 27 20 67 8 83
Finding The Column Means
Using colMeans function to find the column means −
> x1<-sample(1:100,20) > x2<-sample(1:100,20) > x3<-sample(1:100,20) > df<-data.frame(x1,x2,x3) > colMeans(df)
Output
x1 x2 x3 51.90 54.75 45.55
Subtracting column values from column means
Using data frame and column means of the data frame to subtract the column values from column means −
> x1<-sample(1:100,20) > x2<-sample(1:100,20) > x3<-sample(1:100,20) > df<-data.frame(x1,x2,x3) > df[]-colMeans(df[])[col(df[])]
Output
x1 x2 x3 1 2.1 18.25 11.45 2 27.1 -2.75 46.45 3 35.1 -3.75 1.45 4 -38.9 -42.75 -44.55 5 18.1 35.25 -26.55 6 -36.9 44.25 -36.55 7 4.1 26.25 -23.55 8 23.1 13.25 36.45 9 11.1 -43.75 21.45 10 -11.9 -4.75 25.45 11 -6.9 -12.75 48.45 12 -19.9 25.25 4.45 13 28.1 28.25 -12.55 14 -45.9 -27.75 -40.55 15 39.1 45.25 -9.55 16 0.1 5.25 0.45 17 24.1 -45.75 -39.55 18 -32.9 -52.75 18.45 19 -33.9 42.25 -18.55 20 15.1 -46.75 37.45
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