Re: [R] Help with Mahalanobis

From: Gabor Grothendieck <ggrothendieck_at_gmail.com>
Date: Mon 11 Jul 2005 - 03:11:15 EST

I think you could simplify this by replacing everything after the nObjects = nrow(mds) line with just these two statements.

  f <- function(a,b) mapply(function(a,b)     (mds[a,] - mds[b,])%*%InvS%*%(mds[a,] - mds[b,]), a,b)

  D2 <- outer(seq(nObjects), seq(nObjects), f)

This also eliminates dependence on gtools and the complexity of dealing with triangular matrices.

Regards.

Here it is in full:

D2Mah2 = function(y, x) {

  stopifnot(is.data.frame(y), !missing(x))   stopifnot(dim(y)[1] != dim(x)[1])

  y    = as.matrix(y)
  x    = as.factor(x)
  man  = manova(y ~ x)
  E    = summary(man)$SS[2] #Matrix E
  S    = as.matrix(E$Residuals)/man$df.residual
  InvS = solve(S)
  mds  = matrix(unlist(by(y, x, mean)), byrow=T, ncol=ncol(y))

  library(gtools)
  nObjects = nrow(mds)

  ### changed part is next two statements   f <- function(a,b) mapply(function(a,b)     (mds[a,] - mds[b,])%*%InvS%*%(mds[a,] - mds[b,]), a,b)

  D2 <- outer(seq(nObjects), seq(nObjects), f) }

#
# test
#

D2M2 = D2Mah2(iris[,1:4], iris[,5])
print(D2M2)

On 7/10/05, Jose Claudio Faria <joseclaudio.faria@terra.com.br> wrote:
> Well, as I did not get a satisfactory reply to the original question I tried to
> make a basic function that, I find, solve the question.
>
> I think it is not the better function, but it is working.
>
> So, perhaps it can be useful to other people.
>
> #
> # Calculate the matrix of Mahalanobis Distances between groups
> # from data.frames
> #
> # by: José Cláudio Faria
> # date: 10/7/05 13:23:48
> #
>
> D2Mah = function(y, x) {
>
> stopifnot(is.data.frame(y), !missing(x))
> stopifnot(dim(y)[1] != dim(x)[1])
> y = as.matrix(y)
> x = as.factor(x)
> man = manova(y ~ x)
> E = summary(man)$SS[2] #Matrix E
> S = as.matrix(E$Residuals)/man$df.residual
> InvS = solve(S)
> mds = matrix(unlist(by(y, x, mean)), byrow=T, ncol=ncol(y))
>
> colnames(mds) = names(y)
> Objects = levels(x)
> rownames(mds) = Objects
>
> library(gtools)
> nObjects = nrow(mds)
> comb = combinations(nObjects, 2)
>
> tmpD2 = numeric()
> for (i in 1:dim(comb)[1]){
> a = comb[i,1]
> b = comb[i,2]
> tmpD2[i] = (mds[a,] - mds[b,])%*%InvS%*%(mds[a,] - mds[b,])
> }
>
> # Thanks Gabor for the below
> tmpMah = matrix(0, nObjects, nObjects, dimnames=list(Objects, Objects))
> tmpMah[lower.tri(tmpMah)] = tmpD2
> D2 = tmpMah + t(tmpMah)
> return(D2)
> }
>
> #
> # To try
> #
> D2M = D2Mah(iris[,1:4], iris[,5])
> print(D2M)
>
> Thanks all for the complementary aid (specially to Gabor).
>
> Regards,
> --
> Jose Claudio Faria
> Brasil/Bahia/UESC/DCET
> Estatistica Experimental/Prof. Adjunto
> mails:
> joseclaudio.faria@terra.com.br
> jc_faria@uesc.br
> jc_faria@uol.com.br
> tel: 73-3634.2779
>
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R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Mon Jul 11 03:17:45 2005

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