How To Subtract Values From Two Data Frame In R

How to subtract column values from cavalcade 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.
And so, detect the column means using colMeans function.
Subsequently that, subtract column values from cavalcade means.

Creating the data frame

Let's create a information frame every bit shown below −

Live Demo

> x1<-sample(1:100,20) > x2<-sample(one: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 ane  54  73  57 2  79  52  92 3  87  51  47 four  13  12   1 5  70  xc  19 6  15  99   nine seven  56  81  22 8  75  68  82 ix  63  11  67 ten 40  50  71 11 45  42  94 12 32  eighty  50 13 eighty  83  33 14  6  27   5 fifteen 91 100  36 16 52  60  46 17 76   ix   6 18 19   2  64 xix 18  97  27 20 67   viii  83

Finding The Column Means

Using colMeans role to notice the column ways −

Live Demo

> 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 cavalcade ways of the data frame to subtract the cavalcade values from cavalcade means −

Live Demo

> x1<-sample(1:100,20) > x2<-sample(one:100,20) > x3<-sample(1:100,xx) > df<-data.frame(x1,x2,x3) > df[]-colMeans(df[])[col(df[])]

Output

     x1      x2     x3 1    ii.1  eighteen.25  11.45 2   27.1  -2.75  46.45 3   35.1  -3.75   ane.45 4  -38.9 -42.75 -44.55 five   eighteen.i  35.25 -26.55 six  -36.ix  44.25 -36.55 7    iv.one  26.25 -23.55 8   23.one  thirteen.25  36.45 9   xi.1 -43.75  21.45 ten -eleven.ix  -4.75  25.45 11  -vi.9 -12.75  48.45 12 -19.9  25.25   4.45 xiii  28.1  28.25 -12.55 14 -45.9 -27.75 -40.55 15  39.1  45.25  -ix.55 16   0.1   5.25   0.45 17  24.ane -45.75 -39.55 18 -32.9 -52.75  xviii.45 xix -33.9  42.25 -xviii.55 20  15.one -46.75  37.45

Published on fourteen-Jul-2021 07:12:11

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