Dear Deepayan, Thank you once again. I needed to install the latest versions of R and lattice and now it all works fine and the border is in white, which is perfect. Thank you for all the support you offer users of lattice, Best Wishes, Jenny
That should have been fixed by now. Is there anything that's not working as you expect? My code had: lapply(add.cl, panel.polygon, border = 'red') which should have made the borders red. If it doesn't, you probably need to upgrade to a recent version of R/lattice. If it does, changing it to border='white' should suffice. If that doesn't work, please provide a reproducible example. -Deepayan
On 7/30/07, Jenny Barnes <jmb at mssl.ucl.ac.uk> wrote:
Dear Deepayan Thank you for your response - it has proved very very helpful, I can't thank
you
enough! I have another question for you if you have time to reply. I know you have
been
asked about the colour of the polygon outline before (27 April 2007) and you replied that is a bug and the border can only be black or transparent... I was wondering if you have found a way to change the colour of the outline since this correspondence? If not please can you tell me how to get around
this
myself? You mentioned writing a replacement to lpolygon - I do not know how
to
do this - would it be possible for you to guide me further?
I would really benefit from having the border of the polygon in white as it
goes
over the "sea" which is also white and would therefore only be seen over the "land", much neater! Many thanks, Jenny On 7/24/07, Jenny Barnes <jmb_at_mssl.ucl.ac.uk> wrote:
Dear R-Help community, I am trying to overlay a single contour line over a correlation plot using levelplot in the lattice package. These are the two arrays: 1) a correlation plot over Africa - so each grid square is a different
colour
dependent on correlation - this is in an array: result_cor with
dim[465,465]
2) a single contour line from a ***different data source*** - this is from
data
related to the p-values for the above correlation plot - I want to overlay
only
the 95% confidence contour. The p-values are stored in an array:
result.p.values
with same dimensions as above. I have read about using panel.levelplot and panel.contourplot in the R-help mailing list but I don't know the right way to call two different data
arrays,
can anybody help me please? I appreciate your time and help with this
question. I can think of a couple of different ways, but the simplest will probably be
to
compute the single contour beforehand and add it after the standard levelplot using a panel function. E.g., using the 'volcano' data for both matrices: ## you need the explicit x and y arguments because ## the default is
different
from levelplot.
vcl <- contourLines(x = seq_len(nrow(volcano)),
y = seq_len(ncol(volcano)),
z = volcano,
levels = c(172, 182))
levelplot(volcano, add.cl = vcl,
panel = function(..., add.cl) {
panel.levelplot(...)
lapply(add.cl, panel.polygon, border = 'red')
})
-Deepayan ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Jennifer Barnes
PhD student: long range drought prediction
Climate Extremes Group
Department of Space and Climate Physics
University College London
Holmbury St Mary
Dorking, Surrey, RH5 6NT
Web: http://climate.mssl.ucl.ac.uk
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Jennifer Barnes PhD student: long range drought prediction Climate Extremes Group Department of Space and Climate Physics University College London Holmbury St Mary Dorking, Surrey, RH5 6NT Tel: 01483 204149 Mob: 07916 139187 Web: http://climate.mssl.ucl.ac.uk