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problem with aperm? (PR#568)

2 messages · jim.lemon@uts.edu.au, Brian Ripley

#
R version 1.0.1
OS RedHat Linux 6.1

In attempting to test for numeric vectors in a data frame, I tried:

apply(dataframe,2,is.numeric)

and found that it returned FALSE for all vectors whether they were
numeric or not.  I tracked this to the fact that as.array() was
converting the data frame to character vectors, and thought I could
solve it by using array(), which preserved the mode of the columns. 
However, I then got an error from aperm():

Error in aperm(X, c(s.call, s.ans)) : aperm: invalid second argument,
must be a vector

even though the second argument tested as a vector.  This happened both
within the apply() function and calling aperm() separately, even if I
explicitly used a numeric vector for the second argument.  I then had a
look at the code for do_aperm(), but as I am unfamiliar with Scheme, had
to give up after trying to work out what CADR and SEXP were.

Jim

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#
On Tue, 13 Jun 2000 jim.lemon@uts.edu.au wrote:

            
What? arrays are only of one mode. Try

sapply(dataframe, is.numeric)

for what you wanted.  For example,

library(MASS)
data(Cars93)
sapply(Cars93, is.numeric)
      Manufacturer              Model               Type          Min.Price 
             FALSE              FALSE              FALSE               TRUE 
             Price          Max.Price           MPG.city        MPG.highway 
              TRUE               TRUE               TRUE               TRUE 
...


The help page for array says

Arguments:

       x: the array to be used.

and a dataframe is *not* an array (or a matrix).

What did you run to get the following?
Can you please tell us exactly what you did: there is no actual example
of a problem with aperm here!

The error message is too curt: it actually means `must be a vector of the
right length', and I am fairly sure that is your error here. The code

    if (!isVector(perm) || (length(perm) != length(dimsa)))
        error("aperm: invalid second argument, must be a vector");

is not too hard to understand without any knowledge of Scheme (and I have
none either: the internal R language is described in `Writing R
Extensions').