I believe this is a function of the Mac console (I presume you are using
the console, but you did not say). Please ask Mac-specific questions on
R-sig-mac (or at the very least put `MacOS' in your subject line).
I believe that adding flush.console() after the cat() call works on Mac as
it
Dear John,
That's exactly what I want.
Millions of thanks,
Frank
On 4/16/05, John Fox [EMAIL PROTECTED] wrote:
Dear Frank,
This was an interesting exercise. Here's a solution:
numbers2words - function(x){
helper - function(x){
digits - rev(strsplit(as.character(x), )[[1]])
On 16-Apr-05 Ashraf Chaudhary wrote:
Ted:
Thank you for your help. All I want is a binomial random
variable that is correlated with a normal random variable
with specified correlation. By linear I mean the ordinary
Pearson correlation. I tried the following two methods,
in each case the
Prof Brian Ripley wrote:
Compare them by `goodness for purpose': you have not told us the purpose.
Please do read some of the extensive literature on model comparison.
On Sat, 16 Apr 2005, Jan Verbesselt wrote:
Thanks a lot for the input!
I forgot to add family=binomial, for a binomial glm. Now
On 17-Apr-05 Ted Harding wrote:
[...]
So I'd suggest experimenting on the following lines.
1. Let X1 be a sample of size N using rbinom(N,1,p)
(where, in general, p need not be 0.5)
2. Let Y be a sample of size N using rnorm(N,mu,sigma)
(and again, in general, mu need not be 0 nor
Dear R List,
I have created a package (under Windows 2.0.1) with 300+ data sets and 20
or so functions I use in teaching. However, to access the data, one needs
to type data(foo) once the package has been installed and loaded. With
other packages namely MASS, after the package is installed and
Dear all,
I want to evaluate several generalized linear mixed models, including the null
model, and select the best approximating one. I have tried glmmPQL (MASS
library) and GLMM (lme4) to fit the models. Both result in similar parameter
estimates but fairly different likelihood estimates.
My
Dear all,
Thanks a lot for the input. I will take the considerations into account.
Referring to;
2 or 3 completely pre-chosen models or you will invalidate inference and
estimates if you use these comparisons to build a final model
The aim is not use the comparisons to build a final model but
Look at `Writing R Extensions' and the description of the DESCRIPTION
file, specifically `LazyData'.
That is the manual about packages
On Sun, 17 Apr 2005, Alan Arnholt wrote:
I have created a package (under Windows 2.0.1) with 300+ data sets and 20
or so functions I use in teaching.
Jan Verbesselt wrote:
Dear all,
Thanks a lot for the input. I will take the considerations into account.
Referring to;
2 or 3 completely pre-chosen models or you will invalidate inference and
estimates if you use these comparisons to build a final model
The aim is not use the comparisons to
On Sunday 17 April 2005 08:39, Nestor Fernandez wrote:
Dear all,
I want to evaluate several generalized linear mixed models, including
the null model, and select the best approximating one. I have tried
glmmPQL (MASS library) and GLMM (lme4) to fit the models. Both result
in similar
On Sun, 17 Apr 2005, Deepayan Sarkar wrote:
On Sunday 17 April 2005 08:39, Nestor Fernandez wrote:
I want to evaluate several generalized linear mixed models, including
the null model, and select the best approximating one. I have tried
glmmPQL (MASS library) and GLMM (lme4) to fit the models.
Hi R friends!
I am stuck with a stupid question: I can circumvent it
but I would like to
understand why it is wrong. It would be nice if you
could give me a hint...
I have an 2D array d and do the following:
ids - which(d[,1]0)
then I have a vector gk with same column size as d and
do:
ids2 -
Sundar Dorai-Raj wrote:
Terry Mu wrote on 4/2/2005 9:38 PM:
like:
a %in% abcd
TRUE
Thanks.
See ?regexpr.
regexpr(a, abcd) 0
However, the first argument is not vectorized so you may also need
something like:
sapply(c(a, b, e), regexpr, c(abcd, bcde)) 0
ab e
[1,] TRUE TRUE
On Sun, 2005-04-17 at 19:13 +0200, Werner Wernersen wrote:
Hi R friends!
I am stuck with a stupid question: I can circumvent it
but I would like to
understand why it is wrong. It would be nice if you
could give me a hint...
Having a reproducible example, as per the posting guide, would be
On Sunday 17 April 2005 12:07, Prof Brian Ripley wrote:
On Sun, 17 Apr 2005, Deepayan Sarkar wrote:
[...]
GLMM uses (mostly) the same procedure to get parameter estimates,
but as a final step calculates the likelihood for the correct model
for those estimates (so the likelihood reported
You need to think about it just a bit harder.
[Hint: what happens if you leave out the first 'which' and just make
ids - (d[, 1] 0)
does it work then...?]
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Werner Wernersen
Sent: Monday, 18 April 2005
G'day, I have a matrix 2 x 500 populated with all the distances
between a list of airports and a list of towers. What I'm having trouble
doing is finding the closest airport to each tower, Any help would be
greatly appreciated.
Regards,
Michael Williams
[[alternative HTML version
Williams, Michael wrote:
G'day, I have a matrix 2 x 500 populated with all the distances
between a list of airports and a list of towers. What I'm having trouble
doing is finding the closest airport to each tower, Any help would be
greatly appreciated.
Regards,
Michael Williams
Sounds like you
Dear R-users
Could anyone tell me which library contains a function
to compute polycoric correlations?
I wonder the same question was asked a while ago, but
I could not locate the mail in the R-help archives.
Sorry for bothering you.
Sincerely
Here you go:
Information on Package 'polycor'
Description:
Package: polycor
Title: Polychoric and Polyserial Correlations
Date: 2004/12/12
Version: 0.7-0
Depends: R (= 1.9.0), mvtnorm
Author:John Fox
Description: Computes polychoric
Our offers are unbeatable and we always update our prices to make sure we
provide you with the best possible offers!
MS Plus! XP... Our Price: $50.00
Norton Antivirus Corporate Edition 2003 Our Price: $40.00
Microsoft Visual Studio.NET Architect Edition.. Our Price:
Since it is not clear exactly what you require, I have assumed that what you
are looking for is the minimum value for each row or column depending upon
which is airports and which is the towers.
Is this what you are looking for
x - runif(100)
dim(x) - c(5,20)
apply(x,1,function(y) which(y ==
Dear All,
I have a rather unusual problem. I have a set of data for a class in
subsurface processes. From that dataset, I must calculate the slope of
the best-fit line (which is the parameter of interest). The problem I
have is twofold: 1) for the purposes of the exercise, I must force my
24 matches
Mail list logo
