Calculate Data Iris with Mean of Column

Question

I have problem in R with Data Iris, Let us know how to calculate iris data - mean of all column (4 column) in iris data with looping

It's easier to help you if you include a simple [reproducible example](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example) with your code so far and the desired result. Tell us where exactly you are getting stuck. — MrFlick, Oct 18 '20 at 03:43

Surbhi Anand · Answer 1 · 2020-10-18T04:34:29.567

0

This should work.

data("iris")
    iris.numeric <- iris[,c(1:4)]
    colMeans(iris.numeric)
    
    for (i in 1:4) { 
      print(mean(iris[,i]))
      }
    
    normalize <- function(numbers)
                 {    (numbers - mean(numbers))/sd(numbers)
                 }
    new.iris <- apply(iris.numeric, 2, normalize)
    apply(new.iris, 2, mean)
    apply(new.iris, 2, sd)

edited Oct 18 '20 at 04:34

answered Oct 18 '20 at 03:47

Surbhi Anand

1
4

so how about data in each colomn to minus that mean? – Yanto basna Oct 18 '20 at 04:05
You mean normalize? – Surbhi Anand Oct 18 '20 at 04:29
i mean each data of column - mean of that column so the answer is matrix 150x4 – Yanto basna Oct 18 '20 at 04:45
yeah, so then remove /sd(numbers) in normalize function and it will serve your purpose. – Surbhi Anand Oct 18 '20 at 04:52

Calculate Data Iris with Mean of Column

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