[EMAIL PROTECTED] wrote:
> I have data in a two dimensional table. each row of the data adds
> upto 100 ( hence they are percentages ). it can be interpreted as
> like this A - I are the matches and P - X are the players. Thus
> Player P scored 20% of the runs during this season in Match C, 60% in
> Match D and remaining 20% in Match G.
>
> I want to plot 3-d bar plot, where X axis have players, Y axis have
> Matches and Z axis as the percentage(0 - 100%) Please help me in this
> regards.
<snip>
Many years ago I picked up from the snews mailing list a
suite of functions for plotting 2D barplots (barplots with 2D
bases) written by a chap named Colin Goodall, from (at that
time) the University of Bristol and/or from Penn State.
I never actually did anything with this suite until
recently. Seeing no replies to the enquiry about 3D
histograms, I thought I'd try to get Goodal's code running
in R to see if it might solve guarav's problem.
The trouble is, all the guts of the procedure, *including*
the plotting are done from within Fortran. The actual
plotting seems to be done through a call to a subroutine
``segmtz'' which is a piece of Splus software that does not
exist in R.
Is there an equivalent subroutine in R that could be called?
I dug around a bit but couldn't figure out what was going
on. The function segments() simply calls
.Internal(segments(....
I looked around a bit for corresponding C or Fortran code but
obviously didn't know how to look properly.
I think that the Fortran code could be translated into raw R
and the call to segmtz changed to a call to segments() ---
but this would seem to be a lot of work.
Can anyone suggest a reasonably simple way of replacing the
call to segmtz in the Fortran?
cheers,
Rolf Turner
[EMAIL PROTECTED]
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