I am wanting to generate panels showing scatterplots with the linear
fitted line for two groups within each panel superimposed.
I have two conditioning factors, "variable" and "Group" and I want
separate panels for each level of "variable"
with different symbols and "lmline"s for each level of "Group". However
all observations for a group are missing for some variables so I would
still like the points and lmline for the observed group plotted for that
variable(panel).
My attempt is
print(xyplot(total.fat~x|variable,data=tmp1,subscripts=TRUE,
scales=list(x=list(relation="free")),xlab="",groups=Group,
panel=function(x,y,subscripts,...){
panel.superpose(x,y,subscripts,...)
if(length(x[subscripts])!=0)
{panel.superpose(x,y,panel.groups="panel.lmline",subscripts,...)}}))
Which gives an error
Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) :
0 (non-NA) cases
>
Which occurs when the first panel with all values for one group are
missing.
The same error is returned if I replace the last line without the "if"
statement which obviously means it's ignored.
Of course I may be taking the wrong tack completely to get the result I
need. Any advice would be appreciated
Ross Darnell
[[alternative HTML version deleted]]
______________________________________________
[email protected] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
