[R] Is there any R function for data normalization?

[Joshua Wiley]

Hi Rui,

It doesn't really need one...

doit <- function(x) {(x - min(x, na.rm=TRUE))/(max(x,na.rm=TRUE) -
min(x, na.rm=TRUE))}

# use lapply to apply doit() to every column in a data frame
# mtcars is built into R
normed <- as.data.frame(lapply(mtcars, doit))
# very that the range of all is [0, 1]
lapply(normed, range)

Cheers,

Josh

On Tue, Oct 2, 2012 at 2:51 AM, Rui Esteves <ruimaximo at gmail.com> wrote:
> Hello,
>
> I have a matrix with values, with columns c1..cn.
> I need the values to be normalized between 0 and 1 by column.
> Therefor, the 0 should correspond to the minimum value in the column c1 and
> 1 should correspond to the maximum value in the column c1.
> The remaining columns should be organized in the same way.
>
> Does a function in R exists for this purpose?
>
> Thanks,
> Rui
>
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-- 
Joshua Wiley
Ph.D. Student, Health Psychology
Programmer Analyst II, Statistical Consulting Group
University of California, Los Angeles
https://joshuawiley.com/