onal preference.
> >>
> >> See ?C or ?contrasts, which I understand to be alternative ways of
> >> doing the same thing (and would appreciate correction is this is
> >> wrong). Or this can be done through the "contrasts" argument of
> >> glm.nb.
&
Hi,
I am using the glm.nb function to evaluate differences in the catch of
individual species of fish across three river tributaries. The dependent
variable is catch per unit effort (CPUE), and the independent variable is
the the tributary (Trib_cat). CPUE is derived from the fish counts divided
I am new to the R Kohonen package. I plotted the counts per cell and then
compared it to the unit.classif. from the som output - but I can't seem to
get it to match up. Cells that show no counts in the counts plot have 3 or
more data objects assigned to them in the unit. classif. I can provide t
-
> David L Carlson
> Department of Anthropology
> Texas A&M University
> College Station, TX 77840-4352
>
> -Original Message-
> From: r-help-boun...@r-project.org
> [mailto:r-help-boun...@r-project.org] On Behalf Of Katharine
> Miller
> Sen
Hello,
I am having difficulty obtaining the correct colors in my R charts.
> colors()[c(552, 254, 26)]
[1] "red" "green" "blue"
But, if I specify col=552 in my barplot, I get gray bars. Likewise,
col=254 gives bright pink, and col=26 is a red-orange. I get accurate
results when I spell out
Hello,
I am having difficulty obtaining the correct colors in my R charts.
> colors()[c(552, 254, 26)]
[1] "red" "green" "blue"
But, if I specify col=552 in my barplot, I get gray bars. Likewise,
col=254 gives bright pink, and col=26 is a red-orange. I get accurate
results when I spell out
I have a function that requires a distance matrix of class dist with
species names as row names. For the life of me, I cannot figure out how to
get dist() to include species names.
I am sure this must be easy, because a lot of packages and functions out
there require dist objects to have row name
Yes. I have version 2.15.0 of Rtools as well. I went ahead and
re-installed both R and Rtools just to make sure everything was OK. But
that did not fix the problem.
- Katharine
2012/4/15 Uwe Ligges
>
>
> On 14.04.2012 21:53, Katharine Miller wrote:
>
>> OK. So, I have 64
OK. So, I have 64 bit Windows 7 and I have installed R 2.15.0
Thanks
2012/4/14 Uwe Ligges
>
>
> On 14.04.2012 19:01, Katharine Miller wrote:
>
>> Hi,
>>
>> Sorry - I should have said that I was using Windows 7 on a 64 bit computer
>> in my earlier post.
.04.2012 00:24, Katharine Miller wrote:
>
>> Hi,
>>
>> I have some C++ code that I compiled into a dll for use in 32 bit R and
>> would like to recompile for use in 64bit R. I thought it would be as easy
>> as going to R-2.15.0\bib\x64 and running R CMD SHLIB mfregRF.c
>
Hi,
I have some C++ code that I compiled into a dll for use in 32 bit R and
would like to recompile for use in 64bit R. I thought it would be as easy
as going to R-2.15.0\bib\x64 and running R CMD SHLIB mfregRF.c
but that doesn't do anything. It doesn't give me any error messages, but
it also
Hi,
I have been using some code for multivariate random forests. The output
from this code is a list object with all the same values as from
randomForest, but the model object is, of course, not of the class
randomForest. So, I was hoping to modify the code for predict.randomForest
to work for p
Hi
I am having a problem using varImpPlot in randomForest. I get the error
message "Error in plot.window(xlim = xlim, ylim = ylim, log = "") : need
finite 'xlim' values"
When print $importance, several variables have NaN under %IncMSE. There
are no NaNs in the original data. Can someone hel
Hello,
I am running randomForest models on a number of species. I would like to be
able to automate the printing of dependence plots for the most important
variables in each model, but I am unable to figure out how to enter the
variable names into my code. I had originally thought to extract the
14 matches
Mail list logo
