R help - Sep 2009 - more efficient vectorization of a function ?

dear All,
i'm using the following two functions:

share.vector <- function (vec1)
{
  vec1 <- vec1 - max(vec1,na.rm=TRUE) -0.1  ## this line avoids overflow
  vec1 <- exp(vec1)
  vec2 <- vec1/(1+sum(vec1,na.rm=TRUE))
  vec2
}

share.matrix <- function (mat1)
{
  out1 <- apply(mat1,2,share.vector)
  return(out1)
}

vec1 is a vector (of numeric data, usually small numbers), mat1 is a matrix
with many vec1's

is there another way to program them such that they are more efficient (in
terms of time)?

i appreciate any hints or advice.

best regards,
Carlos

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