Martin Maechler [EMAIL PROTECTED] writes:
Duncan == Duncan Murdoch [EMAIL PROTECTED]
on Sat, 03 Sep 2005 11:40:18 -0400 writes:
Duncan John Sorkin wrote:
A question for R (and perhaps S and SPlus) historians.
Does anyone know the reason for the inconsistency in
Dirk Eddelbuettel [EMAIL PROTECTED] writes:
On 3 September 2005 at 17:59, Justin Rhodes wrote:
| Dear R-help,
|
| Can someone please help me discover what function or code will give
| me a p-value from the input: 1) R-square statistic from a simple
| linear regression, and 2) sample
Hello All,
I have a question regarding how glmmPQL should be specified. Which of
these two is correct?
summary(fm.3 - glmmPQL(cbind(response, 100 - response) ~ expt,
data = data.1, random = ~ 1 | subject,
family = binomial))
summary(fm.4 -
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PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
About time series graphs, I need help to move on:
A time series of data directly from a data logger comes in the dat
format created below:
year-c(rep(2005,10))
doy-c(rep(173,5),rep(174,5))
time-c(15,30,45,100,115,15,30,45,100,115)
About time series graphs, I need help to move on:
A time series of data directly from a data logger comes in the dat
format created below:
year-c(rep(2005,10))
doy-c(rep(173,5),rep(174,5))
time-c(15,30,45,100,115,15,30,45,100,115)
Dear R-listers,
I have got an error with variog.mc.env() package:geoR that I cannot sort
the origin out. The origianal data file can be sent to people interested.
bin0-variog(don1bgeo,estimator.type=modulus, direction=0)
bin90-variog(don1bgeo,estimator.type=modulus, direction=pi/2)
On 9/4/05, Anette Nørgaard [EMAIL PROTECTED] wrote:
About time series graphs, I need help to move on:
A time series of data directly from a data logger comes in the dat
format created below:
year-c(rep(2005,10))
doy-c(rep(173,5),rep(174,5))
time-c(15,30,45,100,115,15,30,45,100,115)
Hello Dr. Bates and group,
I understand, the attached data file did not accompany my original
message. I have listed below the code used to create that file.
data.1 - data.frame(subject = factor(rep(c(one, two, three, four,
five, six, seven,
On Sat, 3 Sep 2005, John Sorkin wrote:
A question for R (and perhaps S and SPlus) historians.
Does anyone know the reason for the inconsistency in the way that the
action that should be taken when data are missing is specified? There
are several variants, na.action, na.omit, T, TRUE, etc. I
On Sat, 3 Sep 2005, A Das wrote:
Hi all, I've been trying to get a large (12mb) Stata
survey database into R. I managed that, but when I
attach survey weights, something goes wrong. The error
message is: object dchina not found. Here's the
script:
If that is the *first* message then
Dear all, dear Prof. Bates,
my dependent variable (school absenteeism, truancy[1]) is a binary
response for which I am trying to compute an unconditional mixed
effects model. I've got observations (monday, wednesday and friday)
nested in individuals (ID2), which were nested in classes (KID2)
Hi,
I've been experimenting with a new way of displaying the output from
RProf, to make it easier to optimise your functions. I've included an
example below. I'd love to get your feedback on how easy you think
this graphic is to read, and on ways that it could be improved.
On 9/4/05, Andrew R. Criswell [EMAIL PROTECTED] wrote:
Hello Dr. Bates and group,
I understand, the attached data file did not accompany my original
message. I have listed below the code used to create that file.
data.1 - data.frame(subject = factor(rep(c(one, two, three, four,
Thanks, Thomas.
Yes, that's exactly what happened: the warnings
came first after data(China), and then after
dchina-svydesign... So the design object isn't
being produced? The dataset is very large, and the
weights were already set in Stata before importing.
Would either of those cause
On Sun, 4 Sep 2005, A Das wrote:
Thanks, Thomas.
Yes, that's exactly what happened: the warnings
came first after data(China), and then after
dchina-svydesign... So the design object isn't
being produced? The dataset is very large, and the
weights were already set in Stata before
Just: missing values in object. That would imply the
object was created. But then I write dchina, and it
says object dchina not found.
-Bobby
--- Thomas Lumley [EMAIL PROTECTED] wrote:
On Sun, 4 Sep 2005, A Das wrote:
Thanks, Thomas.
Yes, that's exactly what
On Sun, 4 Sep 2005, A Das wrote:
Just: missing values in object. That would imply the
object was created. But then I write dchina, and it
says object dchina not found.
No, it would not imply the object was created. If it was an error message
(rather than a warning) the object would not have
On 9/4/05, Bernd Weiss [EMAIL PROTECTED] wrote:
Dear all, dear Prof. Bates,
my dependent variable (school absenteeism, truancy[1]) is a binary
response for which I am trying to compute an unconditional mixed
effects model. I've got observations (monday, wednesday and friday)
nested in
That worked. Many thanks, Thomas.
-Bobby
--- Thomas Lumley [EMAIL PROTECTED] wrote:
On Sun, 4 Sep 2005, A Das wrote:
Just: missing values in object. That would imply
the
object was created. But then I write dchina, and
it
says object dchina not found.
Hello,
I have a data set with 15 variables (first one is the response) and
1200 observations. Now I use pls package to do the plsr as below.
trainSet = as.data.frame(scale(trainSet, center = T, scale = T))
trainSet.plsr = mvr(formula, ncomp = 14, data = trainSet, method = kernelpls,
Dear Peter,
This is exactly what I needed. The input is
coming from the Mouse Phenome Project database
(http://aretha.jax.org/pub-cgi/phenome/mpdcgi?rtn=docs/home)
which only gives pearson's correlations r, and
n. Thank you very much. I have used this R-help
resource twice now recently
Others may know the answer to your question, but I don't. However,
since I have not seen a reply, I will offer a few comments:
1. What version of R are you using? I just tried superficially
similar things with the examples in ?aov in R 2.1.1 patched and
consistently got
I haven't seen a reply to your post, and I would like to help you.
Unfortunately, I don't see a question in your email. Please tell us why
changing the variable (x-1,ln(x)) didn't get satisfying results,
preferably using a toy example that someone else can copy from your
email in to
I just got 48 hits from RSiteSearch(independent component
analysis), the first of which was
http://finzi.psych.upenn.edu/R/library/mlica/html/mlica.html;.
hope this helps.
spencer graves
p.s. I believe people who follow the posting guide typically get more
useful
1. I could find no references to var.ran with
RSiteSearch(var.ran) and when requesting var.ran from S-Plus 6.2.
2. Have you considered simulate.lme?
3. Are you familiar with Pinheiro and Bates (2000) Mixed-Effects
Models in S and S-Plus (Springer)? I highly
On Fri, 2 Sep 2005 [EMAIL PROTECTED] wrote:
If I do not make a mistake,the partial association model is an
extension of log-linear model.I read a papers which gives an example
of it.(Sloane and Morgan,1996,An Introduction to Categorical Data
Analysis,Annual Review of Sociology.22:351-375)
On Thu, 1 Sep 2005, DrakeGis wrote:
Hi I'm working with the function Kest in the package SpatStat (under LINUX
with R 2.1.0). In order to evaluate the statistical significance of my
point pattern I'm doing 999 Montecarlo replications. The script that use
the Kest function runs OK for most of
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