On Jul 15, 2008, at 5:16 PM, rcoder wrote:
Hi Ben,
Yes, this is more or less what I want to do. I want to apply this
data in
columns in a matrix, and insert the results to additional columns.
I am not
entirely aware of a good way of doing this.
e.g. take data from column B, apply normalisation, and feed output
into
column C
Oh,
I think you want to use cbind() to add columns to a matrix. Perhaps
like this which works with the second column...
v <- matrix(data = rnorm(100), nrow = 10, ncol = 10)
mm <- range(v[,2])
s <- 10 * (v[,2]-mm[1])/(mm[2]-mm[1])
v2 <- cbind(v, s)
Cheers,
Ben
Thanks,
rcoder
Ben Tupper wrote:
On Jul 15, 2008, at 8:16 AM, rcoder wrote:
Hi everyone,
I want to score a set of data (-ve to +ve) using a 0-10 scale. I
have the
data in an R matrix, so I need to add another column, containing
the scores
and resave.
Hi,
I am a little fuzzy on what you are asking, but my guess is that you
want to normalize the data into the 0-1 range then multiply by 10.
values <- rnorm(10) #some numbers
mm <- range(values) #the minmax range
scaled <- (values-mm[1])/(mm[2]-mm[1]) #normalize into 0-1
scaled10 <- 10 * scaled #scale 0-10
Is that what you seek?
Ben
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