[R] missing ctest and methodological question

[Christof Meigen]

Hi,

I couldn't figure out how to use the functions from the
ctest library. I'm using the r-base package that comes with
debian potato. library("ctest") told me that no such package
existed. I checked the CRAN, but no such package was
availiable, instead I was told that it would be part of the
standard installation. But functions from ctest like
shapiro-wilk don't work.  The only thing I found was a
ASCII-file "ctest" which I could load but was only a wrapper
for some C-Library which seems to be not installed.

Besides that technical problem I would also appreciate your
scientific advice. For a publication a have to check about
80 samples with about 3000-5000 values each whether they
a normally distributed (N(0,1) to be exact). The problem is,
that they are derived from discrete measurements (the
weight of children, for example, where nearly all values
have full or half kilograms), so Kolmogorov-Smirnov doesn't
seem to be the right choice. Shapiro-Wilk, however,
is limites to 5000 values, for good reasons, I think.

Personally, for a single sample I would make some plots
for everyone to see that it fits quite good, but in this
case it would be nice if I could finally have a table
saying

sample  test1   test2  ...
1       accept  accept
2       accept  reject
...

any advices about which tests I could perform?

Thanks in advance,
        Christof
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