This can be done with tkrplot package, whose sole example is of a slider
and a graph in the same window.
(AFAICS the slider function in the TeachingDemos package shows no more
concepts than the tkdensity demo which ships with R.)
On Thu, 29 Dec 2005, Chihiro Kuraya wrote:
Hi,
Thank you for
These are C programming questions, and the messages are specific to your
OS. Please use a more appropriate list: the posting guide does say
`questions involving C' should go elsewhere.
For the specific question here, I think you need to ask on a MacOS list.
BTW, Eric's definition is a good
Ronnie Babigumira [EMAIL PROTECTED] a écrit : Hi, (this is a minor
irritation), is it possible for me to call R's editor from the R command prompt
(I searched for
script but that didn't yield anything). (The mouse-file-new-script route is a
minor irritation )
Try edit() or ?edit
Ronnie Babigumira [EMAIL PROTECTED] a écrit : Hi, (this is a minor
irritation), is it possible for me to call R's editor from the R command prompt
(I searched for
script but that didn't yield anything). (The mouse-file-new-script route is a
minor irritation )
Have you received a satisfactory reply to this post? I haven't seen
one. Unfortunately, I can't give a definitive answer, but I can offer
an intelligent guess. With luck, this might encourage someone who knows
more than I do to reply. If not, I hope these comments help you clarify
Why can't you use a likelihood ratio? I would write two slightly
different functions, the second of which would use the linear constraint
to eliminate one of the coefficients. Then I'd refer 2*log(likelihood
ratio) to chi-square(1). If I had some question about the chi-square
Hi,
I was trying to repeat the estimation of threshold GARCH models from
the book Analysis of Financial Time Series by Ruey S. Tsay, and I
was succesfull, but I had to use for loop, which is quite slow. The
loop is necessary, since you need to calculate recursive sequence. Is
there a faster way
Dear All,
I have to use loop over an array so I am using following procedure
count-1
repeat{
count-count + 1
c(g[count],1:i[count]) -qw
if(count5)break
}
as a result qw is
[1] 0.9643836 1.000 2.000 3.000 4.000 5.000
[7] 6.000 7.000 8.000
Hi Justin
Thanks. Kort had pointed me in the same direction however, using this means I
cannot see my output until I close the
editor window. Bodgan proposed Alt-F-N and while this is not a command issued
at the command prompt, it opens the editor
without having to use the mouse so I will live
On 12/29/2005 7:41 AM, gynmeerut wrote:
Dear All,
I have to use loop over an array so I am using following procedure
count-1
repeat{
count-count + 1
c(g[count],1:i[count]) -qw
if(count5)break
}
We can't reproduce this, as we don't have g or i. But the general
advice in a case
Hi all,
I has a C code in Linux, it has 7 pointers and compile e run OK, but when I
run in R happens Segmetation Fault.
When I use calloc function, it returns NULL.
What's wrong?
I would like more information about R-alloc function?
Thanks!
--
Marcelo Damasceno de Melo
Graduando em Ciência da
Dear R users,
is there any simple low-level function that split single-line graph
labels and produce something like (e.g. for x axis):
100300500 700...
200400 600
Cheers, Andrej
__
R-help@stat.math.ethz.ch mailing list
Your loop will store results of count =6 because
every time the loop executes the results are put in
qw so you replace the previous results. On the other
hand the results of count=1 is not extracted you basicaly
start at 2.
My advice is you initialize qw before the loop and stack the results
one
Hi, I have a number of spatial weight files and using Roger Bivand's spdep, I
would like to
1. Convert them into neighbor lists using
2. Convert the neighbor lists into spatial weights
For a given file, the syntax would be
mygal_nb1 - read.gal(mygalfile1, override.id = TRUE)
myweight1 -
On Thu, 2005-12-29 at 14:49 +0100, Andrej Kastrin wrote:
Dear R users,
is there any simple low-level function that split single-line graph
labels and produce something like (e.g. for x axis):
100300500 700...
200400 600
Cheers, Andrej
You could do something like
I dont know Genstat, but I if possible to export you
file to text or other readable format in foriegn why
not do it ?
--- Graham Smith [EMAIL PROTECTED] a écrit :
Does anyone know if there is a package or other
method of reading Genstat
files directly into R. Genstat isn't listed in the
Uli:
The graphic in the paper, sometimes called a catepillar plot, must be
created with some programming as there is (as far as I know) not a
built-in function for such plots. As for the contents of bVar you say
the dimensions are 2,2,28 and there are two random effects and 28
schools. So, from
Another possibility might be a utility called DataLoad by David Baird.
It is available from:
http://www.american.edu/academic.depts/cas/econ/gaussres/utilitys/dataload.htm
and appears to support the conversion of GenStat files to other formats
(such as CSV), which you could then directly import
Sorry, Graham
I didn't understand first. How cant I get Genstat ?
Best wishes for 2006.
--- Graham Smith [EMAIL PROTECTED] a écrit :
Justin,
Thanks for the reply.
There is no problem getting files out of Genstat and
into R, indeed Gensat
exports to R as well as txt, xls and most
Marc Schwartz wrote:
On Thu, 2005-12-29 at 14:49 +0100, Andrej Kastrin wrote:
Dear R users,
is there any simple low-level function that split single-line graph
labels and produce something like (e.g. for x axis):
100300500 700...
200400 600
Cheers, Andrej
You
Ronnie Babigumira said...
Hi, I have a number of spatial weight files and using Roger Bivand's spdep, I
would like to
1. Convert them into neighbor lists using
2. Convert the neighbor lists into spatial weights
For a given file, the syntax would be
mygal_nb1 - read.gal(mygalfile1, override.id
On 12/29/05 11:01 AM, Kort, Eric [EMAIL PROTECTED] wrote:
Ronnie Babigumira said...
Hi, I have a number of spatial weight files and using Roger Bivand's spdep, I
would like to
1. Convert them into neighbor lists using
2. Convert the neighbor lists into spatial weights
For a given
For those who suggest other ways to do this, I ALREADY HAVE ANOTHER
DESIGN SOLUTION, DESCRIBED AT THE END.
That being said, I want to know if it's possible to reference a slot
in an S4 class from another slot, i.e. I'd like to have the self.*
semantics of Python so that I can reuse a slot. That
Marcelo Damasceno wrote...
Hi all,
I has a C code in Linux, it has 7 pointers and compile e run OK, but when I
run in R happens Segmetation Fault.
When I use calloc function, it returns NULL.
What's wrong?
I would like more information about R-alloc function?
Thanks!
What is wrong is that
R Experts,
I'm looking for some help with the geoR package. I'm trying to krig
some data without using a global neighborhood. I would like to set my
moving neighborhood to a distance, say 100 meters, where I know my data
is spatially correlated. I have tried the ksline function, but that
I'm dealing with a matrix like :
x y z
[1,] 24 1
[2,] 61 2
...
[n,] 73 1
For each row I would like to know the header of the
column which corresponds to the minimum value. In the
case of my matrix, I would like to obtain the
following vector :
z y ... z
Any
On Thu, 2005-12-29 at 17:20 +0100, Florent Bresson wrote:
I'm dealing with a matrix like :
x y z
[1,] 24 1
[2,] 61 2
...
[n,] 73 1
For each row I would like to know the header of the
column which corresponds to the minimum value. In the
case of my
I try to obtain the same y-axis for a 2-dim time series with
plot(ts(cbind(rnorm(10), rnorm(10,mean=4))),ylim=c(0,20))
but that does not work. Looking in the code for plot.ts, the ylim-argument
seems to be taken care of, but not the way I expect. Can anyone help on this?
Thanks
Søren
Jennifer
The algorithms in geoR are (at least up to now) focused on kriging with
global neighbourhood.
You you would like to use moving neighbourhood based on distances my nest
advice is to use a function from another package such as RandomFields,
gstat, or any other geostats package
Best
I have found this little function useful when trying to choose colors:
showcols - function (indx = 0:6)
{
for (ii in unique(indx)) {
is - 100 * ii + 1:100
if (min(is) length(colors())) {
cat(Maximum value of arg is, floor(length(colors())/100),
Although this does not answer your question regarding how
to do it in S4, it is simple to do with the proto package.
This creates a fooWfcn proto object and then two child
proto objects of it. Here foo inherits dat1 from fooWfcn
but foo2 has its own dat1 which overrides the dat1 in
its parent.
If you use plot.zoo it will do it. Just insert as.zoo(...) around
the ts object.
library(zoo)
plot(as.zoo(ts(cbind(rnorm(10), rnorm(10,mean=4,ylim=c(0,20))
On 12/29/05, Søren Højsgaard [EMAIL PROTECTED] wrote:
I try to obtain the same y-axis for a 2-dim time series with
Dear Rweavers,
When generating reports with Sweave, I would like to quote some results in
the abstract (Something like The treatment effect is 10 mbar, see page
100).
Currently, I used verbatimwrite and friends to write to multiple files to be
included, but I wonder is there is a more elegant
Some changes have been made to the posting guide, based on suggestions
from various R-help contributors over the past year.
The most significant change is the recommendation to use 'sessionInfo()'
rather than 'version' when asking questions about unexpected behavior
or bugs. This change was
Are there any functions to do error propagation in R?
I have done a search with little success. Any
pointers to read about this topic are greatly
welcomed.
My specific problem is: I use a linear model (lm) to
predict the biomass of an individual in a population,
then I add up the biomass of all
Hello.
Some months age an e-mail was posted in which a comparison between Glimmix
and glm was discussed. I have not been able to find that e-mail on the R
archive. Does anyone recall the date of the above e-mail?
Thank you very much.
***
Antonio Paredes
Are there any functions to do error propagation in R?
I have done a search with little success. Any
pointers to read about this topic are greatly
welcomed.
My specific problem is: I use a linear model (lm) to
predict the biomass of an individual in a population,
then I add up the biomass of all
I think using sessionInfo() instead of version is a good idea.
On 29 Dec 2005, [EMAIL PROTECTED] wrote:
[Note that sessionInfo() currently does not report all the
information that 'version' does (it omits at least Status and svn
rev). R-core members are aware of this -- whether or not they
I think the question was appropriate for this list. If you want to
do a Wald test, you might consider asking optim for hessian=TRUE.
If the function that optim minimizes is (-log(likelihood)), then the
optional component hessian of the output of optim should be the
observed
I'm seeking suggestions for a book on Tcl/Tk, as it can be used with R.
The book I bought for the purpose (Effective Tcl/Tk Programming) seems
quite unsuitable. For example, it has no description of anything like
the slider control provided by tkscale().
I have located the Tcl and Tk
Hi, everyone,
I have a question regarding function cv.glm in library
'boot'.
Basically cv.glm can calculate the estimated K-fold
cross-validation prediction error for generalized
linear models. My question is this: if I am fitting a
logit model, what kind of threshold will it use to
calculate
To my understanding, a confidence interval typically covers a single
valued parameter. In contrast, a confidence band covers an entire line
with a band. In regression, it is quite common to construct confidence
and prediction bands. I have found that many people are connecting
individual
1. I try to avoid dogmatism and use whatever seems sufficiently
accurate for the intended purposes and easiest to explain to the
intended audience.
2. I'm not aware of any package that will compute Wald tests from
optim(...)$hessian, etc., so I write my own code when I
Michael H. Prager [EMAIL PROTECTED] writes:
I'm seeking suggestions for a book on Tcl/Tk, as it can be used with R.
The book I bought for the purpose (Effective Tcl/Tk Programming) seems
quite unsuitable. For example, it has no description of anything like
the slider control provided by
Hello,
I'm trying to source() an SPlus 6.x file created using dump(...,
oldStyle=T) into R (version 2.01) as using the following instructions:
*If you have access to S-PLUS, it is usually more reliable to |dump|
the object(s) in S-PLUS and |source| the dumpfile in R. For S-PLUS 5.x
and 6.x
Please do RTFM. It uses the cost function given by its 'cost' argument.
Using your suggestion to choose the threshold is not honest (in the
technical sense of the word).
On Thu, 29 Dec 2005, Jun Ding wrote:
Hi, everyone,
I have a question regarding function cv.glm in library
'boot'.
Duncan Murdoch [EMAIL PROTECTED] writes:
On 12/29/2005 7:41 AM, gynmeerut wrote:
Dear All,
I have to use loop over an array so I am using following procedure
count-1
repeat{
count-count + 1
c(g[count],1:i[count]) -qw
if(count5)break
}
We can't reproduce this, as
Dear R users,
I am using spatstat to analyze point patterns (tree locations). I would
like to import the shapefile with the study area polygons (six total) into R
and use it to create the window for the spatstat analysis. I do not simply
want to use a rectangle because the study areas spread out
Alan Arnholt [EMAIL PROTECTED] writes:
To my understanding, a confidence interval typically covers a single
valued parameter. In contrast, a confidence band covers an entire line
with a band. In regression, it is quite common to construct confidence
and prediction bands. I have found that
Don MacQueen [EMAIL PROTECTED] wrote in message
news:[EMAIL PROTECTED]
I have found this little function useful when trying to choose colors:
FWIW: To choose colors, this page
http://research.stowers-institute.org/efg/R/Color/Chart/index.htm
and PDF
I'm still learning how to program with R and I was hoping someone could
take the time to show me how I can rewrite this code?
Many thanks
Tom
data.intersects-data.frame(
x=c(0.230,0.411,0.477,0.241,0.552,0.230),
y=c(0.119,0.515,0.261,0.431,0.304,0.389),
angle=vector(length=6),
allan miller [EMAIL PROTECTED] writes:
Hello,
I'm trying to source() an SPlus 6.x file created using dump(...,
oldStyle=T) into R (version 2.01) as using the following instructions:
*If you have access to S-PLUS, it is usually more reliable to |dump|
the object(s) in S-PLUS and
Marc == Marc Schwartz (via MN) [EMAIL PROTECTED]
on Wed, 28 Dec 2005 15:46:37 -0600 writes:
Marc On Wed, 2005-12-28 at 20:15 +,
Marc [EMAIL PROTECTED] wrote:
Dear All,
Apologies for this simple question and thanks in advance
for any help given.
Yes, setting 'Summary' S4 group methods is a bit painful,
because the S3 generic starts with
In the 'Matrix' CRAN package,
we do the following {thanks to hints by John Chambers IIRC}:
Our AllGeneric.R file
(https://svn.R-project.org/R-packages/trunk/Matrix/R/AllGeneric.R)
ends with
Go to CRAN, to the Packages page, do a simple search on the text shape.
It will quickly lead you to
maptools tools for reading and handling shapefiles
From there, I guess you'll have to extract the polygons from the
structure that is returned by the function(s) in the maptools package.
And I see that I am probably already be out of date! There is a nice
article in R News Volume 5/2, November 2005, available from CRAN.
-Don
At 1:41 PM -0800 12/29/05, Don MacQueen wrote:
Go to CRAN, to the Packages page, do a simple search on the text shape.
It will quickly lead you to
On Thu, 2005-12-29 at 22:06 +0100, Martin Maechler wrote:
Marc == Marc Schwartz (via MN) [EMAIL PROTECTED]
on Wed, 28 Dec 2005 15:46:37 -0600 writes:
Marc On Wed, 2005-12-28 at 20:15 +,
Marc [EMAIL PROTECTED] wrote:
Dear All,
Apologies for this simple
Hi,
I have a problem when I want to add new points (or a
new line) to the graph. Some points (or parts of the
line) are not shown on the graph because they lie
beyond the scale of the axis. Is there a way to
overcome this so all points (or the entire line) are
shown on the graph? Here's an
On 12/29/05 5:19 PM, Martin Lam [EMAIL PROTECTED] wrote:
Hi,
I have a problem when I want to add new points (or a
new line) to the graph. Some points (or parts of the
line) are not shown on the graph because they lie
beyond the scale of the axis. Is there a way to
overcome this so all
Martin Maechler [EMAIL PROTECTED] wrote in message
news:[EMAIL PROTECTED]
The clue is to transform correlations to dissimilarities.
. . .
and then use hclust(), agnes(), pam(), [the latter two from
package 'cluster'], ...
with 'Dx' as dissimilarity
Perhaps this TechNote may be of interest:
On 12/29/2005 5:33 PM, Sean Davis wrote:
On 12/29/05 5:19 PM, Martin Lam [EMAIL PROTECTED] wrote:
Hi,
I have a problem when I want to add new points (or a
new line) to the graph. Some points (or parts of the
line) are not shown on the graph because they lie
beyond the scale of the axis.
[tom wright]
I'm still learning how to program with R and I was hoping someone
could take the time to show me how I can rewrite this code?
I'll try! :-)
data.intersects-data.frame(
x=c(0.230,0.411,0.477,0.241,0.552,0.230),
y=c(0.119,0.515,0.261,0.431,0.304,0.389),
You might also consider looking at the R-sig-Geo list which has lots of
discussion about issues relating to file formats and the best ways to get data
in and out the various packages that are used.
Tom
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] Behalf Of
I have been using the document written by John Fox titled
Sn Introduction to ESS + XEmacs for Windows
Users of R.
It's a very nice document and
I went through it carefully but I got
an error when I finished it and launched XEmacs.
The error is cannot open load file : ess-site.
So, I did more
Surely there is a correct denominator degrees of freedom if the design
is balanced, as Ronaldo's design seems to be. Assuming that he has
specified the design correctly to lme() and that lme() is getting the df
right, the difference is between 2 df and 878 df. If the t-statistic
for the
second
I tried it with XEmacs on Win XP and I had to install ESS separately.
Mark Leeds wrote:
I have been using the document written by John Fox titled
Sn Introduction to ESS + XEmacs for Windows
Users of R.
It's a very nice document and
I went through it carefully but I got
an error when I
Hi every,
I have two lists,one has 10 elements,another has 20 elements.And each
element in these two lists has a unique name.I want to know how to combine
these two lists, so i can index the elements by their names.
Thanks.
Jiantao Shi
[[alternative HTML version deleted]]
c(list(a=1,b=2), list(c=3,d=4))
or
append(list(a=1,b=2), list(c=3,d=4))
On 12/30/05, Xiao Shi [EMAIL PROTECTED] wrote:
Hi every,
I have two lists,one has 10 elements,another has 20 elements.And each
element in these two lists has a unique name.I want to know how to
combine
these two
Peter Dalgaard wrote:
allan miller [EMAIL PROTECTED] writes:
Hello,
I'm trying to source() an SPlus 6.x file created using dump(...,
oldStyle=T) into R (version 2.01) as using the following instructions:
*If you have access to S-PLUS, it is usually more reliable to |dump|
the
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