Daer all,
I have the problem. I could not run the regression, because I have always the
warning message memory.size. from the help file I learned that it is possible
to increase the memory size, but I did not undestand how could I do it. Could
you please explaine it to me. I would be very
Silika Tereshchenko wrote:
Daer all,
I have the problem. I could not run the regression, because I have always the
warning message memory.size. from the help file I learned that it is possible
to increase the memory size, but I did not undestand how could I do it. Could
you please explaine it to
Have you read ?data?
hope this helps. spencer graves
Ko-Kang Kevin Wang wrote:
(Please use a more meaningful subject)
Can you be more specific with your question? Do you want to access an
example data set and if so, which one? Or do you want to create a data
frame within R? Or do you want
A newbie question: I'm trying to decide whether to run a maximum likelihood
estimation in R or Stata and am wondering if the R mle routine is reasonably
robust. I'm fairly certain that, with this data, in Stata I would get a lot
of complaints about non-concave functions and unproductive steps
dear group members,
I am looking for a function that assess the stability of cluster. The result of hclust
function is an hclust object which can be plot as a dendrogram. However to have
confidence in the tree topology usualy bootstap is applied. I understand that I can
apply bootstarp on the
R does not have one mle routine. Many statistical procedures do
maximum likelihood estimation (mle) either by default or as an option.
The robustness would depend on the likelihood and what you want to do
and what you mean by robustness. Read the help files and check
www.r-project.org -
Peter,
The R optim function is what you probably want to read up on for ML in
R. It may or may not be less complaining than the Stata ML functions.
Optim provides several alternative algorithms which may help you find one
that is best for your problem. On the other hand, it sounds like you have
Dear R community:
My platform: R 1.7.0 + windows2000.
I am trying to install the package lasso2 which I saw in the following web address:
http://cran.us.r-project.org/src/contrib/PACKAGES.html#emplik. However, I failed to
install it from R menu Packages| Install package(s) from CRAN since I
Bob,
glmmPQL certainly allows offsets (have a look at the code). Use the offset
function in the fixed effects formula.
James.
Anon. [EMAIL PROTECTED]
Sent by: [EMAIL PROTECTED]
12/07/2003 12:17 AM
To: r-help [EMAIL PROTECTED]
cc:
Subject:[R] Offsets
I am a novice
Is there any way of automatically save a plot to an image file. I want to
generate images of plots during a procedure and I do not want to manually
save the files through the menu.
Thanks
Tor A Strand
Centre for International Health
University of Bergen
On Sun, 13 Jul 2003 15:38:54 -0600, you wrote:
Dear R community:
My platform: R 1.7.0 + windows2000.
I am trying to install the package lasso2 which I saw in the following web address:
http://cran.us.r-project.org/src/contrib/PACKAGES.html#emplik. However, I failed to
install it from R menu
Also, as an extra, it would be very useful if, for instance,
t[u==NA] -- 2 4 6 8
(I realise that working round this is less cumbersome, but even so).
What's wrong with writing t[is.na(u)]?
Or you could define
eq - function(x,y) {
(is.na(x)
Hello,
I created a 3d surface (persp) with some points overlaid on it, which is
fine. Now I have a second set of z-values(x,y-values same as the first
surface), which I would like to make visible on the same graph, however,
not as a surface, but rather as coloured contour on the first surface,
See ?device .
Hope this helps,
Jerome
On July 13, 2003 03:48 pm, Tor A Strand wrote:
I am a novice
Is there any way of automatically save a plot to an image file. I want
to generate images of plots during a procedure and I do not want to
manually save the files through the menu.
Thanks
We had this question a couple of weeks ago (see the archive). No, there is currently
no function for bootstrap support indices on hclust objects. However, code
contributions are welcome. ;-) A long-winded way to do it could be to convert your
hclust objects to phylo objects, using as.phylo
Hi
Tamas Papp wrote:
Hi,
I read the 2000 thread on a MetaPost device in R. If I understand
correctly, the main problem with the concept is that R wants the device
driver to give back information on the size of strings/labels.
To the bet of my knowledge, MetaPost _does_ make it possible to
In the name of Allah.
hello, how are you?
I sent a mail for you,yesterday but I didn't recieve
to my aim.
I need to some data frames in version 1.7.0 such as
florida,Barley,rainforest and some others.
I don't know these data frames are in which library.
I typed data(package =
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