Hello!
I am using R for locational modeling of mountain sites against environmental
variables. I have carried out a multivariate regression analysis of my sites
with two independent variables, but I need a method to calculate raw
residuals of my distribution. What am I supposed to do?
Thank you
Hello,
My question might not be appropriate for this list as it relates to the
'wavelet' package; apologies if it's not. But, a lot of geographers and others
make use of wavelets...
I'm been experimenting with dwt and I can't match the results using a manual
calculation (which agrees with the
Dear list,
I'm sure there is a simple solution to my question, but I've scoured
the archives and tried every combination of parameters I can think of,
and still can't find a solution. All I want to do is 'remove' the
bounding box around my spplot plots. For those of you who like
reproducible
On Thu, Jul 21, 2011 at 12:58 PM, Carson Farmer carson.far...@gmail.com wrote:
Dear list,
I'm sure there is a simple solution to my question, but I've scoured
the archives and tried every combination of parameters I can think of,
and still can't find a solution. All I want to do is 'remove'
One way out (since in R there are usually more) is
trellis.par.set(axis.line=list(col=NA))
then
spplot(... etc
but then also the box around the legend dissapears. SOme one one this list
has sent me code that corrects this bit but I cant seem to be able to find
it at the moment.
Hope it helps
On Thu, Jul 21, 2011 at 1:39 PM, caspar hallmann
caspar.hallm...@gmail.com wrote:
One way out (since in R there are usually more) is
trellis.par.set(axis.line=list(col=NA))
then
spplot(... etc
but then also the box around the legend dissapears. SOme one one this list
has sent me code that
Thank you Roger,
I am currently chasing down the GDAL method you refer to instead of using
the GRASS method, will post results when they occur.
D
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Hi:
Is this what you had in mind?
# library(lattice)
spplot(meuse, zcol = 'zinc',
par.settings = list(axis.line = list(col = 'transparent')))
The par.settings = part comes from the graphical parameters in
lattice. See trellis.par.get('axis.line') to get a list of the
(default)
(Cc:'ing to Deepayan) -- the problem refered to earlier seems to be that in
library(sp)
loadMeuse()
spplot(meuse.grid[dist], par.settings =
list(axis.line = list(col = 'transparent')))
not only the frame around the plot, but also the line around the legend
disappears. AFAICS
Dear List,
I am trying to extract the per-pixel median from a raster stack, and
am finding that the process takes a very long time relative to taking
the per-pixel mean. It is long enough that I have never actually seen
whether it successfully completes on my data, but this dummy example
shows
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