Dear all,
I found some threads about compiling r-devel source and installing process
but I need some clarifications.
1. Is it better to uninstall R 3.1 before installing R-devel?
2. I have multiples library directories, R-devel will use these libpaths?
.libpaths()
[1]
Have you done any homework for yourself? CRAN task views would be an
obvious first place to look:
http://cran.r-project.org/web/views/
Both the environmental and spatio-temporal views seem like possibilities.
If that doesn't suit, try searching on suitable keywords
Cheers,
Bert
Bert Gunter
Hi
I am trying to activate the alpha argument to work, but for some reason it
does not to play with me. Anybody has an idea why?
p - ggplot(data = prediction_df, aes(x=x, y=prediction, fill=threshold)) +
geom_area(colour=black, size=.2, alpha=.4) +
scale_fill_brewer(palette=Set1,
On Mar 7, 2015, at 6:29 AM, annclaire wrote:
Hello!
I am trying to fit confidence intervals for my server object as well, but I
can only get an interval estimation for the intercept coefficient and am
getting NAs for my scale parameter. Did you also have this issue?
Below is a rough
Hello!
I am trying to fit confidence intervals for my server object as well, but I
can only get an interval estimation for the intercept coefficient and am
getting NAs for my scale parameter. Did you also have this issue?
Below is a rough outline of my code
newsurvobj -Surv(studytimenew,
I'd like to perform a t-test between groups 'A' and 'B'. The difficulty is that
although there is only one response variable, there are many observations, and
the grouping (A or B) differs with each observation. My code for generating the
input data is shown below.
I'd like to know how to
I have a matrix with dissimilarity coefficients for bird community composition
in different monthes. I need to divide this variants of bird communities in
several classes (seasonal aspects). Each class must include variants
maximally similar with each other and maximally dissimilar with other
Hi, I have a list like below :
gg
[[1]] assembly1 GCA_000257985
[[2]] assembly1 GCA_17125
[[3]] assembly1 GCA_16805
[[4]] assembly1 GCA_000144955
[[5]] assembly isolation.source1 GCA_000507725
missing
[[6]] assembly
Hi there,
I know this is quite an old post but I am wondering if the answer still
applies!?
I would like to access the boxplot function. So, I tried to follow the
instruction of Uwe Ligges’s article “Accessing the Sources”
http://cran.r-project.org/doc/Rnews/Rnews_2006-4.pdf . However, in
Most (perhaps all) packages are byte-compiled now. You can often see decompiled
code by entering the name of the function without parentheses, or using the
getAnywhere function. For base R functions you should probably download the R
source tar file separately and unpack it to a convenient
This would be a perfect time for you to use best practices to convey what you
have to us [1]... most specifically, posting using plain text will keep your
code from getting munged up, and using dput to provide an unambiguous form we
can put into our R sessions.
[1]
Hi Adel,
Almost certainly because the device you were using doesn't support
transparency.Try it with a PDF device and check the resulting file in a PDF
reader:
pdf(ad.pdf)
print(p)
dev.off()
Jim
On Sun, Mar 8, 2015 at 4:39 AM, Adel adel.da...@socav.gu.se wrote:
Hi
I am trying to activate
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