You can manually define the names that you want and pass them as arguments to
'names.attr' (the name of each panel) and 'ylab' (the title of the y axis).
Following your example:
col.titles = c('col1','col2','','')
row.titles = c('row1','row2')
levelplot(s, layout=c(2,2),
That's great, thanks for the update! I didn't actually realize all that
oceandata stuff was on Thredds. You might try ROpenSci's rerddap package
too.
I will try that source with the in-dev https://Github.com/hypertidy/tidync
. Please check it out if you can, and are feeling brave!
(tidync aims
hi,
im trying to asses about the diference in puting the spatial estructure in
a mixed linear model.
What i need to do is to compare the actual distribution of the residuals of
two models, one that consider the correlation and one that not.
model with and without:
*without*
Dear all,
I would like to add custom text labels for the columns and rows of a
levelplot object created with he rasterVis package, similar to the
c("Fall", "Winter", "Spring", Summer") used to label the rows and the
c("a",..., "h") used to label the columns in the plot shown int he
following
Hi Domenico,
AFAIK, you should build your own functions to get the same analysis
provided by the PASSaGE software. If you have some elementary R
programming skills, following the description of the analysis proposed
by Rosenberg(2004) shouldn't be much complicated. Otherwise...I don't know.
Thank you Marcelino,
I already had a look at those functions and, although they do the job, I
was wondering how to analyze anisotropy in point pattern using wavelet
analysis.
I tried to use the WaveletComp package, but with no success. It looks to
me that packages for wavelet analysis work
