On Sat, 27 Aug 2005, Benn Fine wrote:
I want to fit a logistic regression model under a specified
null hypothesis, say Ho:Beta_k=1
Is there a way to constrain a parameter in glm.fit ??
You should be calling glm(). Then you can use offset() in your formula.
(You can also use it as an
Hi,
I am a very newbie to R, and also have no knowledge concerning
statistics. Nevertheless I think R might be the right software
for a very specific number theory problem I sometime have.
Studying some properties, I often get sequences of real numbers
(let's call them y, the index x being 0, 1,
On Sun, Aug 28, 2005 at 09:48:15AM +0200, Thomas Baruchel wrote:
Is R the right choice ? Please, could you step by step show me
how you would do on this example (data below) in order to let me
I forgot my data :-(
0 2.205954909440447
1 8.150580118785099
2 15.851323727378597
3
Hi Thomas,
I'm not an expert - so I might use incorrect terminology, but
hopefully you'll get the picture!
Assuming that you've got your data in a .CSV file, you'd first read in
your data, where the first three lines might look like...
x,y
0,2.205954909440447
1,8.150580118785099
# load the info
Sean O'Riordain wrote:
Hi Thomas,
I'm not an expert - so I might use incorrect terminology, but
hopefully you'll get the picture!
Assuming that you've got your data in a .CSV file, you'd first read in
your data, where the first three lines might look like...
x,y
0,2.205954909440447
try 'nls'
Here is your data applied to it. It looks like you had an 'exact' fit:
x.1[1:10,]
V1V2
1 0 2.205955
2 1 8.150580
3 2 15.851324
4 3 22.442796
5 4 29.358580
6 5 36.460605
7 6 43.751692
8 7 51.223688
9 8 58.866102
10 9 66.668220
x.p - nls(V2 ~
Lukasz Komsta wrote:
Dear useRs,
I would like to summarize results of several tests in groups of two
columns - statistic, p-value, statistic, p-value etc. There would be
nice to add significance stars, but printCoefmat allows to do it only to
last column. Is there any way to do format
Dear All,
is there a stratified version of the Wilcoxon test (also known as van
Elteren test) available in R?
I could find it in the survdiff function of the survival package for
censored data. I think, it should be possible to use this function creating
a dummy censoring indicator and setting it
Is there anywhere to find more detail on the different types of
predictions (lp, risk, terms) in predict.coxph? I would like to
create a summary risk score after fitting a multivariable model with
time-varying covariates. If it makes a difference, 0 will be a
substantively meaningful value
Heinz Tuechler [EMAIL PROTECTED] writes:
Dear All,
is there a stratified version of the Wilcoxon test (also known as van
Elteren test) available in R?
I could find it in the survdiff function of the survival package for
censored data. I think, it should be possible to use this function
Dear list,
One year ago, some of you had wished for an English version
of my web page Statistiques avec R. The translation is now
completed. As the French version, this document is still
unfinished, probably full of mistakes -- but amply
illustrated.
For those of you who had not browsed through
Peter Dalgaard wrote:
Heinz Tuechler [EMAIL PROTECTED] writes:
Dear All,
is there a stratified version of the Wilcoxon test (also known as van
Elteren test) available in R?
I could find it in the survdiff function of the survival package for
censored data. I think, it should be possible to
Thanks to Peter Dalgaard and Frank Harrell for your answers. Fortunately I
don't have an urgent need for this test, but it may be in the future.
Still I would be grateful if someone could comment on my opinion that using
survdiff and regarding all the measures as events would lead to an
equivalent
On Sat, Aug 27, 2005 at 04:04:13AM +0300, I.Ioannou wrote:
I'm new in both R and statistics. I did my homework,
but apparently it was not enough :-(
I took a look inside the code of the *pls.fit functions
and at least now I know where I got it wrong.
So, I'm rephrasing my question :
I
Hi,
I'm using the package 'tripack' to look at the Voronoi tesselations of point
patterns. I want to calculate the area of the intersection of each polygon with
the unit square (in which all of my points lie). So far I have been using:
voronoi.area(voronoi.mosaic(runif(10),runif(10)))
This
On Sun, 28 Aug 2005, Heinz Tuechler wrote:
Thanks to Peter Dalgaard and Frank Harrell for your answers. Fortunately I
don't have an urgent need for this test, but it may be in the future.
Still I would be grateful if someone could comment on my opinion that using
survdiff and regarding all the
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