[R] scatterplot3d with categorical data

[Uwe Ligges]

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Dear Geoff,

scatterplot3d was never intended to draw a plot for categorical data, 
but you can tweak it as follows:


-  Note that the help page says (stolen from ?par) "The values of x and 
y give the (approximate) number of tickmarks on the x and y axes." where 
"approximate" is stressed in this context. It works for me to use lab = 
c(2,2)

-  add argument mar = c(3,3,3,3)

-  add argument y.margin.add = 0.15,


Best,
Uwe

Geoff Russell wrote:
> Dear users,
> 
> I'm trying to produce a 3d bar plot but the x and y dimensions have categorical
> data -- so I only want 3 points on each axis. So I try:
> 
> 
> require(scatterplot3d)
> 
>    mymat<-data.frame(
>    x=c(1,1,1,2,2,2,3,3,3),
>    y=c(1,2,3,1,2,3,1,2,3),
>    z=c(1,2,3,4,5,6,7,8,9))
>    scatterplot3d(mymat,
>    type="h", lwd=5, pch=" ",
>    xlab="xlabel", ylab="ylabel", zlab="zlabel",
>    xlim=c(1,3), ylim=c(1,3),
>    lab=c(3,3),
>    x.ticklabs=c("Low","Medium","High"), y.ticklabs=c("Green","Blue","Black"),
>    main="My Bar Plot")
> 
> But I still get x ticks at 1, 1.5, 2, 2.5, 3 on both x and y axes. I
> thought lab
> controlled this (according to the documentation).
> 
> What am I doing wrong, or is there some restriction on the way the
> function works?
> 
> Cheers,
> Geoff Russell
> 
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