At 07:01 AM 12/16/2006, Prof Brian Ripley [EMAIL PROTECTED] wrote:
What 'glmm' did you have in mind? Looks like e.g. glmmML and
glmmPQL will work with the new link.
Someone may have been here already: e.g.
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1434755
Thank you for your
A way to solve this problem is transform the three parameters from the
GEV-distribution into Frechet. Have a look at Thomas Reiss,
Statistical Analysis of Extreme Values, or the thesis of Han Zhongxian,
Actuarial modelling of extremal events... The last is free in the web. I
am myself using the
i need to optimize the inverse cdf of student-t qt(y^(1/k))+qt(1+p+y) with
respect to y, is it possible to do it in R?
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R. Villegas schrieb:
2
data1-c(8,12,43,70)
data2- c(70,43,12,8)
is the same for ks.test, isn't it?
Yes, it's the same. Wich version of R have you?.
2.4.0
Carmen
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wayne tan princenerdy at hotmail.com writes:
i need to optimize the inverse cdf of student-t qt(y^(1/k))+qt(1+p+y) with
respect to y, is it possible to do it in R?
try ?optimize
if you need more detail, you should give us more detail.
(I'm assuming e.g. that y is a scalar variable, p
hello list,
i've got 8 objects and i want to calculate a list with all combinations of
them. the output should contain the object names.
for example: object1 2, 1 $ 3, ...
best regards
mirca
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On Sat, 16 Dec 2006, R. Villegas wrote:
2006/12/15, Carmen Meier [EMAIL PROTECTED]:
Hello r-group
I have a question to the ks.test.
I would expect different values for less and greater between data1 and
data2.
Does anybody could explain my point of misunderstanding the function?
The help
Using zoo would allow you to retain the date/time portion. In ts you would
have to represent them as numbers; however, as you can easily switch
from zoo to ts you probably want to use zoo in the first instance:
library(zoo)
library(chron)
Lines - DateIDHourIDMetrics
200609200
See aggregate.zoo and maybe ?rollapply
For date manipluations see R News 4/1 help desk article and the table at
the end of that article, in particular.
Suggest you also read and follow the last line on every r-help message
when posting.
On 12/10/06, Alfonso Sammassimo [EMAIL PROTECTED] wrote:
Hi
The 'fame' package I submitted to CRAN can handle hourly, minutely, and
secondly series. The first submission I made last night did not build
correctly on a Linux machine without the FAME libraries, but the one I put up
this morning has fixed that. It should be available soon, unless I missed
help.search('combination') and you will find 'combn'
combn(1:8,2)
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13]
[,14] [,15] [,16] [,17] [,18]
[1,]111111122 2 2 2
2 3 3 3 3 3
[2,]2345
Hello,
My ultimate goal is a repeated measures (mixed model) ANOVA, however,
my present question is about how to reorganize my data into the format
that the ANOVA commands expect. In particular, how to collapse across
trials. (I am using the tutorial at
On 12/16/06, Pedro Alcocer [EMAIL PROTECTED] wrote:
Hello,
My ultimate goal is a repeated measures (mixed model) ANOVA, however,
my present question is about how to reorganize my data into the format
that the ANOVA commands expect. In particular, how to collapse across
trials. (I am using
Thanks so much, Hadley. That's exactly what I needed.
My only comment is that the line
cast(Subj + List + Condition ~ variable , mean)
should be
cast(dfm, Subj + List + Condition ~ variable , mean)
Your excellent demo on your site cleared that up quickly, however.
Thanks again,
Pedro
On
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