Displaying 5 results from an estimated 5 matches for "busk".
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2003 Jan 10
0
Thanks: Re: count levels per factor level
Dear Lockwood,
As you can see, I'm a beginner...
But thank you very much!
Sincerely,
Tord
Quoting "J.R. Lockwood" <lockwood at rand.org>:
> how about
>
> buskartant$buskartant <- sapply( group.list, function(x)
> sum(!is.na(unique(x))) )
>
> OR
>
> buskartant$buskartant <- sapply( group.list, function(x)
> length(unique(x[!is.na(x)])) )
>
>
> On Fri, 10 Jan 2003, Tord Snall wrote:
>
> > Date: Fri, 10 Jan 200...
2003 Jan 09
0
aggregate() nlevels()
Dear all,
I try to calculate the number of occurring levels, per ObjektID, of
cpy.busk$TradArt,
but this line returns the TOTAL number of levels occurring in
cpy.busk$TradArt for each ObjektID.
This was difficult to say in English! Did you get it?
Is there any function for doing what I want. I have tried searching the
archives without success.
buskartant<- aggregate(list(buska...
2008 Jun 30
4
Rebuild of kernel 2.6.9-67.0.20.EL failure
Hello list.
I'm trying to rebuild the 2.6.9.67.0.20.EL kernel, but it fails even without
modifications.
How did I try it?
Created a (non-root) build environment (not a mock )
Installed the kernel.scr.rpm and did a
rpmbuild -ba --target=`uname -m` kernel-2.6.spec 2> prep-err.log | tee
prep-out.log
The build failed at the end:
Processing files: kernel-xenU-devel-2.6.9-67.0.20.EL
Checking
2009 Jul 09
2
Lattice xyplot: same scales within one factor
I am using R 2.8.1 and lattice to produce xyplots conditioned on
two factors. What I would like is to have the scales be free between values
of one factor, but some within. Thus, in the example:
xyplot(mpg ~ disp | factor(gear) + factor(cyl), mtcars,
scales=list(x=list(relation="free")))
rather than having the x scales be free within a gear as well, I want it to
be the same for
2011 Jun 18
0
help with quantification of high density region
Hello,
I am entirely new to this list, and not very experienced with R yet (but very excited about it!!). I am struggling with a dataset of x and y coordinate points I am plotting as a density map as follows:
trial <- read.csv(file="F12.csv", sep=",", skip=32, head=TRUE)
trial.sub <- subset(trial, Seconds>=30)
trial.sub <- subset(trial.sub, Seconds<=1830)
d