Richard A. O'Keefe wrote:
It would be interesting to see some sample code where origin 0 is supposed
to make life easier, ...
An application is the implementation of algorithms which use origin 0
and are written in pseudo code.
Write down the statements in R syntax, include some print or browser
Bob Cain arcanemethods.com> writes:
>
> Rolf Poalis wrote:
>
> > Dear R users,
> >
> > Biostatistics Denmark would like to annouce the availability of the
> > new utility: sas2R --- a SAS to R parser.
>
> Has this been done by anyone for Matlab?
>
> Bob
Don't know about that but at the bot
Bob Cain arcanemethods.com> writes:
> A question I have from my very limited
> understanding yet of OO is whether such objects could be
> passed to legacy functions with any expectation of correct
> results.
Typically you need to write a wrapper but sometimes you get it for
free. For example, i
R Users,
We would like to announce that Version 1.0.1 of the energy package is
now available on CRAN.
The energy package introduces a new class of statistical tests based
on the concept of Newton's potential energy. Included in the package are
* mvnorm.etest (test) and mvnorm.e (statistic)
Richard A. O'Keefe wrote:
It would be interesting to see some sample code where origin 0 is supposed
to make life easier, and to see what R experts to do make it even easier
than that.
I think I will try and invite Robert Bristow Johnson into
this discussion. He's one of the most respected voic
Gabor Grothendieck wrote:
[snip good stuff]
Of course the above is motherhood and some specific examples
might put a sharper edge to the discussion.
I really appreciate your point of view on this and think you
are probably right. A question I have from my very limited
understanding yet of OO i
Rolf Poalis wrote:
Dear R users,
Biostatistics Denmark would like to annouce the availability of the
new utility: sas2R --- a SAS to R parser.
Has this been done by anyone for Matlab?
Bob
--
"Things should be described as simply as possible, but no
simpler."
Dear R users,
Biostatistics Denmark would like to annouce the availability of the
new utility: sas2R --- a SAS to R parser.
For almost 40 years SAS has been the primary tool for statisticians
worldwide and its easy-to-learn syntax, unsurpassed graphical system,
powerful macro language and recent
Ed L Cashin <[EMAIL PROTECTED]> writes:
> Ed L Cashin <[EMAIL PROTECTED]> writes:
>
>> Hi. I am having trouble thinking of an easy way to grab rows out of a
>> data frame. I want to select the rows with a median value when the
>> rows are similar.
>
> I'm still catching up on my R list reading,
Bob Cain arcanemethods.com> writes:
... zero origin ...
It occurred to me that perhaps the point about classes could be
framed somewhat differently.
I think you have an implicit assumption that vectors, matrices
and arrays in general should be used to represent the objects
that you are intereste
Ed L Cashin <[EMAIL PROTECTED]> writes:
> Hi. I am having trouble thinking of an easy way to grab rows out of a
> data frame. I want to select the rows with a median value when the
> rows are similar.
I'm still catching up on my R list reading, and I notice there is a
similar post to mine:
Hi. I am having trouble thinking of an easy way to grab rows out of a
data frame. I want to select the rows with a median value when the
rows are similar.
A simple example is this table, which I could read into a data frame.
I would like to find a new data frame with only the rows with a median
I note that (1) "[" is a class-based function in R, so it would be
possible to define a class of zero-origin arrays. This would mean
that indexing these things would be quite incompatible with all the
other indexing in R, so it's not clear that it would be a good thing.
(2) R lets you define "lef
Peter Dalgaard wrote:
I think it was said quite early in the thread, but since noone
apparently listened, let me reiterate: One of the powerful indexing
features in R is the negative index ("all, except") and x[-0] would
lead to some complications if 0 was a true index.
Interesting. The kind
Thank-you it works! I have ignored ps and relied on the cex arguments until
now.
Alex
-Original Message-
From: Barry Rowlingson [mailto:[EMAIL PROTECTED]
Sent: March 31, 2004 10:59 AM
To: Hanke, Alex
Cc: '[EMAIL PROTECTED]'
Subject: Re: [R] identify() and controlling label size
Hanke, A
Stephane DRAY <[EMAIL PROTECTED]> writes:
> see mst in package ace
***
ape, I believe...
--
O__ Peter Dalgaard Blegdamsvej 3
c/ /'_ --- Dept. of Biostatistics 2200 Cph. N
(*) \(*) -- University of Copenhagen Denmark
Don MacQueen <[EMAIL PROTECTED]> writes:
> At 5:28 PM -0500 3/31/04, Kissell, Robert [EQRE] wrote:
> >Hi,
> >I have a couple of quick questions regarding R.
> >
>
> <- snip ->
>
> > 3) Is there anyway that I could save functions that I have written
> > outside of R. That is, could I write functi
Bob Cain <[EMAIL PROTECTED]> writes:
> Jason Turner wrote:
>
>
> > I do some DSP work, in the context of instrumentation signal filtering,
> > identification, tracking, and coherence (finding plant signals that have
> > similar "fingerprints"). I agree that in languages that require you to
> >
> Do you know if there are some specific functions under R
> to do clustering?
> To be specific, I have a d-dimensional vector x, and wish
> to clustering these d variables of x into some finite groups
> given self-defined distance measure.
Not sure what you want, as the above could be interpreted
At 5:28 PM -0500 3/31/04, Kissell, Robert [EQRE] wrote:
Hi,
I have a couple of quick questions regarding R.
<- snip ->
3) Is there anyway that I could save functions that I have written
outside of R. That is, could I write functions and have them saved
in some directory, such as, C:\Programs\RLa
Dear R users,
Do you know if there are some specific functions under R
to do clustering?
To be specific, I have a d-dimensional vector x, and wish
to clustering these d variables of x into some finite groups
given self-defined distance measure.
So please offer me some point on this problem.
Than
see mst in package ace
At 17:54 31/03/2004, Briggs, Meredith M wrote:
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Stéphane DRAY
---
Rob,
On Wed, Mar 31, 2004 at 05:28:19PM -0500, Kissell, Robert [EQRE] wrote:
> 1) I have a ".First" function that automatically loads the quadprog package into the
> workspace. The .First function resides in R and is only saved if I save the
> workspace. The exact function is as follows:
[...]
Bob Cain wrote:
: Jason Turner wrote:
:
: > However, I'd like to second Prof. Ripley's remark that if you're actually
: > using indicies explicitly, you probably haven't wrapped your head around
: > how powerful the indexing structure and "whole object" approach is in S
: > (including R). It's
I have been using Gauss for doing maximum likelihood estimation of
somewhat complex models, and I am possibly interested in moving over to
R. Does anyone have experience doing both? My main concern is that my
models are very slow to estimate in Gauss; wondering if R is likely to
be faster or
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Jason Turner wrote:
I do some DSP work, in the context of instrumentation signal filtering,
identification, tracking, and coherence (finding plant signals that have
similar "fingerprints"). I agree that in languages that require you to
work with explicit index values, the zero-offset makes per
Hi,
I have a couple of quick questions regarding R.
1) I have a ".First" function that automatically loads the quadprog package into the
workspace. The .First function resides in R and is only saved if I save the workspace.
The exact function is as follows:
.First<-function()
{
library
> I don't really wish to go into all of the reasoning why this
> convenience is important to DSP applications.
I do some DSP work, in the context of instrumentation signal filtering,
identification, tracking, and coherence (finding plant signals that have
similar "fingerprints"). I agree that in
Thanks for the input. I'm new to classes and object
orientation as well as to R and was sorta hoping to hear
that a solution might exist within that structure. Would
existing functions be able to deal with such objects and see
them as the 1 origin objects that they expect?
A solution to backward
Nicole Soranzo wrote:
>
> Hi, I wonder if you can help me:
>
> I cannot seem to be able to import my data anymore. When I try to import
> the attached file with the string
>
> FunctRes<-read.table("C:/Documents and Settings/FunctRes.txt", header=FALSE)
>
> I obtain:
>
> > FunctRes
> V1
Stéphane,
in the example below which you are concerned about, the large correlation you
see is not a result of the small variance, but rather the 3 random numbers
you generated just happened to have the same rank ordering as the magnitudes of
the three coefficients you were correlating them wit
Stephane DRAY wrote:
>
> Hello list,
> I have used scan function to import data into R. I have done some analysis
> and find strange results. I have found my problem : when importing data
> with scan, this can slightly modify the data :
>
> > write(c(0.251,3.399,-0.481,0.266),"essai.txt")
> >
On 31 Mar 2004 at 14:38, Barry Rowlingson wrote:
> Gabor Grothendieck wrote:
> > If you are willing to do it yourself you can define a class
> > for which indexing behaves that way.
>
> I'd like to prefix all these solutions with "Here's how to do it,
> but
> don't actually do it you crazy
On 31 Mar 2004 at 20:07, [EMAIL PROTECTED] wrote:
> i'm looking for an R library dealing with ARCH and GARCH models
>
help.search("ARCH")
on my system gives among others:
garch-methods(tseries)
Methods for Fitted GARCH Models
garch(tseries) Fit GARCH Models to Time Serie
Dear Baz,
I'm inclined to believe that your general advice is correct. As a long-time
APLer who came to R through Lisp-Stat, I think that it's generally a good
idea not to resist the most natural way of programming in R.
On the other hand, introducing a new class and defining methods for it (such
1. Create a matrix A.list each of whose i,j-th entries is a one element list
containing A[i,,j]. Note that A.list and B have the same lengths so
we can use mapply. With mapply, we can choose the B[k]-th element from the
list represented by A.list[k]. Finally reshape.
# test data
A <- array(1:8,
As you've learned, using the formula interface, the NAs are handled by
na.action. (BTW, the R default is na.omit, so the NAs are silently omitted.
If it were na.fail, you would have gotten an error message.)
There are several options on handling NAs, na.omit being one of them. If
you have too ma
Dear Prof. Ripley
Since you are the creator of the MASS library I dare to ask you a short
question, for which I didn't get an answer from the R mailing-list. If
you feel disturbed by my question, please forgive me and just ignore my
mail.
I use the nnet code from your book, V&R p. 348: The very
Note, digits in print() corresponds to signif and not to round.
You need to input some knowledge about your problem to call such issues.
On Wed, 31 Mar 2004, Stephane DRAY wrote:
> At 13:34 31/03/2004, Prof Brian Ripley wrote:
>
> >Take a look at formatReal. scientific thinks 0.251 has 17 digi
At 13:34 31/03/2004, Prof Brian Ripley wrote:
Take a look at formatReal. scientific thinks 0.251 has 17 digits and
0.255 has 3. It really doesn't make any sense to ask for more precision
than you have (.Machine$double.eps) and you do often get spurious
errors if you attempt to do so. So 15 digi
Another alternative is to use the underappreciated function
'sweep()':
sweep(A, 1:2, a, "+")
Internally this is about the same as your 'A + array(a, c(2,2,2))'.
But it has the advantage that it makes explicit what the
relationship between the dimensions of 'A' and 'a' is. I find
that relying
On 31 Mar 2004, Peter Dalgaard wrote:
> Duncan Murdoch <[EMAIL PROTECTED]> writes:
>
> > > print(x,17)
> > [1] 0.26601 0.25100
> ...
> > > print(x,17)
> > [1] 0.266
> >
> > I don't know why the second print() prints 0.266 differently from the
> > first one. (This is in t
i'm looking for an R library dealing with ARCH and GARCH models
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On Wed, 2004-03-31 at 19:01, Mag. Ferri Leberl wrote:
> Dear colleagues!
>
> How can I calculate the mean of every line of "feld" without using the command
> "for"?
>
> Thank You in advance
>
>
> feld<-array(,c(100,10))
> mittel<-array(,c(100,1))
> feld[,]<-rnorm(1000)
> for(a in 1:100){mittel
Mag. Ferri Leberl wrote:
Dear colleagues!
How can I calculate the mean of every line of "feld" without using the command
"for"?
Thank You in advance
feld<-array(,c(100,10))
mittel<-array(,c(100,1))
feld[,]<-rnorm(1000)
for(a in 1:100){mittel[a]<-mean(feld[a,])}
(please use an informative subj
On Wed, 31 Mar 2004, Duncan Murdoch wrote:
> On Wed, 31 Mar 2004 12:24:38 -0500, Stephane DRAY
> <[EMAIL PROTECTED]> wrote :
>
> >Hello list,
> >I have used scan function to import data into R. I have done some analysis
> >and find strange results. I have found my problem : when importing data
Duncan Murdoch <[EMAIL PROTECTED]> writes:
> > print(x,17)
> [1] 0.26601 0.25100
...
> > print(x,17)
> [1] 0.266
>
> I don't know why the second print() prints 0.266 differently from the
> first one. (This is in the 1.9.0 beta in Windows).
To get the same number of decim
Dear colleagues!
How can I calculate the mean of every line of "feld" without using the command
"for"?
Thank You in advance
feld<-array(,c(100,10))
mittel<-array(,c(100,1))
feld[,]<-rnorm(1000)
for(a in 1:100){mittel[a]<-mean(feld[a,])}
__
[EMAIL PR
On Wed, 31 Mar 2004 12:24:38 -0500, Stephane DRAY
<[EMAIL PROTECTED]> wrote :
>Hello list,
>I have used scan function to import data into R. I have done some analysis
>and find strange results. I have found my problem : when importing data
>with scan, this can slightly modify the data :
>
> > wr
Hui Han <[EMAIL PROTECTED]> writes:
> Thinking that the following suggestions by Matt may be helpful to others,
> I am fowarding his notes to R-list.
> On Wed, Mar 31, 2004 at 08:57:13AM -0800, Austin, Matt wrote:
> > Use na.action=na.omit in your function call to delete those rows, but this
>
On 31 Mar 2004 19:22:30 +0200, Peter Dalgaard
<[EMAIL PROTECTED]> wrote :
>Nicole Soranzo <[EMAIL PROTECTED]> writes:
>
>> I cannot seem to be able to import my data anymore. When I try to
>> import the attached file with the string
>>
>> FunctRes<-read.table("C:/Documents and Settings/FunctRes.t
Hello list,
I have used scan function to import data into R. I have done some analysis
and find strange results. I have found my problem : when importing data
with scan, this can slightly modify the data :
> write(c(0.251,3.399,-0.481,0.266),"essai.txt")
> scan("essai.txt")
Read 4 items
[1] 0.2
Nicole Soranzo <[EMAIL PROTECTED]> writes:
> I cannot seem to be able to import my data anymore. When I try to
> import the attached file with the string
>
> FunctRes<-read.table("C:/Documents and Settings/FunctRes.txt", header=FALSE)
>
> I obtain:
>
> > FunctRes
> V1
> 1 ÿþC
...
>
> Ca
Thinking that the following suggestions by Matt may be helpful to others,
I am fowarding his notes to R-list.
Regards,
Hui
On Wed, Mar 31, 2004 at 08:57:13AM -0800, Austin, Matt wrote:
> Use na.action=na.omit in your function call to delete those rows, but this
> can give you problems if you want
Hi, I wonder if you can help me:
I cannot seem to be able to import my data anymore. When I try to import
the attached file with the string
FunctRes<-read.table("C:/Documents and Settings/FunctRes.txt", header=FALSE)
I obtain:
> FunctRes
V1
1 ÿþC
2 \n
3C
40
50
6B
7 \n
Thanks for Matt and Torsten for very helpful suggestions!
As Matt pointed out, the problem is that na.action has the default value of na.fail,
that
deleted one class samples. I changed all NAs to real values, and the error msg.
dissappeared.
However my real dataset contains many NAs. I wonder if
On Wed, 31 Mar 2004, Hui Han wrote:
> Dear all,
>
> Can anybody give me some hint on the following error msg I got with using
> randomForest?
>
> I have two-class classification problem. The data file "sample" is:
> --
> udomain.edu udomain.
Hi ,
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Hi,
I have noticed the following:
> a <- array(1:4, c(2, 2))
> A <- array(1:4, c(2,2,2))
> A + a
Error in A + a : non-conformable arrays
It works with a matrix + a vector, why doesn't it work with arrays?
Am I missing something?
How would you do the above operation efficiently (ie I need to add
Thanks to Marc, J.R. and Sean for your help. I didn't realize that the paste command
was where I should be looking.
Danny
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On Wed, 2004-03-31 at 08:44, [EMAIL PROTECTED] wrote:
> Hi all,
>
> I'm running the following code to generate 40 different jpegs based on
> the resulting data. I'd like the file names to be 'Cluster1.jpeg',
> however the code write filenames like 'Cluster 1 .jpeg'.
>
> How can I get rid of the
I believe all you need to do here is use plain "i" instead of
"format(i)" in the jpeg call.
Someone is bound to come up with a better generic
answer but this should get you up and running for now.
> -Original Message-
> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
> Sent: 31 March 2
The recycling rules are documented and this is not amongst them.
Computer packages do have a tendency to follow their rules rather than
read your mind.
I suspect A + as.vector(a) is what you intended.
On Wed, 31 Mar 2004, Tamas Papp wrote:
> Hi,
>
> I have noticed the following:
>
> > a <- ar
Hanke, Alex wrote:
I thought this was going to be easy ...
Can the label size of identify() be controlled by setting par(cex.*) because
I'm having no luck? My only recourse is to save the index and position of
the labels from identify() and use text() to replot them.
Funny, it seems to ignore that
Suppose I have A, an n x m matrix, each element is an integer (an
index).
I also have B, an n x l x m array. I need C, where
C[n,m] = B[n, A[n, m], m]
I am currently using loops, what would be the "R way" to do this?
Another question: let
A[n, m] <- argmax_l B[n, l, m]
what would be the nice
Danny,
Paste uses sep=" " between arguments as a default. Just include sep="" in
the paste call.
file=paste("c:\\temp\\cluster",format(i),".jpeg",sep="")
Sean
On 3/31/04 9:44 AM, "[EMAIL PROTECTED]" <[EMAIL PROTECTED]> wrote:
> Hi all,
>
> I'm running the following code to generate 40 differ
I thought this was going to be easy ...
Can the label size of identify() be controlled by setting par(cex.*) because
I'm having no luck? My only recourse is to save the index and position of
the labels from identify() and use text() to replot them.
Regards
Alex
Alex Hanke
Department of Fisheries
Hi all,
I'm running the following code to generate 40 different jpegs based on the resulting
data. I'd like the file names to be 'Cluster1.jpeg', however the code write filenames
like 'Cluster 1 .jpeg'.
How can I get rid of the unwanted spaces? I've looked at ?format and it doesn't seem
to w
On Wed, Mar 31, 2004 at 09:15:24AM +0200, F. Tusell wrote:
>
> As of quite recently I experience failures to compile source packages.
> Messages like
>
> * Installing *source* package 'dse1' ...
> ** libs
> g77 -mieee-fp -fPIC -g -O2 -c dsefor.f -o dsefor.o
> gcc -shared -o dse1.so dsefor.o
Gabor Grothendieck wrote:
If you are willing to do it yourself you can define a class
for which indexing behaves that way.
I'd like to prefix all these solutions with "Here's how to do it, but
don't actually do it you crazy fool". It's on a par with redefining pi,
or redefining '+'. And then re
Dear all,
Can anybody give me some hint on the following error msg I got with using
randomForest?
I have two-class classification problem. The data file "sample" is:
--
udomain.edu udomain.hcs hpclass
1 1. 1 not
2 NA 2 not
3 NA 0.8 not
You are quite right.
One can see from the original function I wrote that I am not very familiar
with the apply family.
Thanks for pointing out this improvement.
Below is the new version of the function; any other comments are welcome.
Regards,
Whit
Timebase <- function(x,monthly=T,first.day=T)
The multinomial model can be used- it's the standard method used, although
there are now more sophisticated ones - see Kenneth Train's website at
Berkley for the Mixed Logit. I too am new to R so can't really comment on
how to implement it in this package. If you want to run more sophisticated
mode
Not quite an answer. I've been using ace() in the acepack
library to do _ordinary_ conjoint analysis with rating responses.
I never do (nor have any reason to do) choice-based conjoint, so
I haven't thought about how to analyze such data, but I'd be
interested in the answer if anyone has it. (Wha
If you are willing to do it yourself you can define a class
for which indexing behaves that way.
For example, here is a start for a limited implementation for
vectors. The first statement defines the constructor, the
second defines [, the third converts an index 0 based vector
back to a regular
Dear Bob,
One approach would be to introduce a class of objects for which zero-based
indexing is implemented. Here's a simple example:
> "[.io0" <- function(x, i) as.vector(x)[i + 1]
>
> v <- 0:10
> class(v) <- "io0"
> v[0]
[1] 0
> v[0:5]
[1] 0 1 2 3 4 5
>
Of course, a serious implementation w
Hello everyone,
I am new to this list and the R-Project, so I hope my question is not
trivial or has been answered before. I searched the FAQs and the mailing
list archives and I could not find anything about Conjoint Analysis. I am
especially interested in Choice-based Conjoint, resp. discrete ch
On Wed, 31 Mar 2004, Philippe Grosjean wrote:
> OK. Thank you. I have not seen that particularity in the documentation... is
> it written somewhere?
Yes, the source code if nowhere else.
> However, I found:
> > .BaseNamespaceEnv
>
>
> which is, according to the documentation, still experimenta
wow!
this R is real awesome!
thanks all of you.
i'll start the tutorial and manual reading right now
tks!
><> ><> ><> ><> ><> ><> ><>
Luiz Rodrigo L. Tozzi
METOP -- CPTEC/INPE
[EMAIL PROTECTED]
ICQ: 3276578
TEL: (12)31868419
><> ><> ><> ><> ><> ><> ><>
Deus nunca fica e
OK. Thank you. I have not seen that particularity in the documentation... is
it written somewhere?
However, I found:
> .BaseNamespaceEnv
which is, according to the documentation, still experimental. Should I
better use envir = NULL or .BaseNamespaceEnv to get a full control on
objects in the base
Hi Bob,
Jonathan Rougier's Oarray package might be what you want.
Jim
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On Wed, 31 Mar 2004 08:32:49 -0300, you wrote:
>My question is: can I generate graphics and tables in gif ou any graphical
>format through shell script?? can I call R, run a package in my ascii data e
>then export the results to a gif, png or whatever?
>
>Depending on your answers I'll learn R
On Wed, Mar 31, 2004 at 08:32:49AM -0300, Luiz Rodrigo Tozzi wrote:
>
> My question is: can I generate graphics and tables in gif ou any graphical
> format through shell script?? can I call R, run a package in my ascii data e
> then export the results to a gif, png or whatever?
Yes - R is well
Bob Cain wrote:
At
this early stage of my learning I can't yet determine if there is a way
to effect what in APL was zero index origin, the ordinality of indexes
starts with 0 instead of 1. Is it possible to effect that in R without
a lot of difficulty?
Clearly R wasn't written by Dijkstra:
hi
My name is Luiz Tozzi and I have an aplication of R in mind but I dont know if
it works.
I've got a UNIX DEC machine here in my work and I have to generate statistical
graphics and tables in GIF. We use to generate them in Excel sheets, importing
our data to a Windows computer.
My question
Bob Cain wrote:
I'm very new to R and utterly blown away by not only the language but
the unbelievable set of packages and the documentation and the
documentation standards and...
I was an early APL user and never lost my love for it and in R I find
most of the essential things I loved about A
Much of R is itself written in R, so you cannot possibly change something
as fundamental as this. Further, index 0 has a special meaning that you
would lose if R have 0-based indexing.
However, the R thinking is to work with whole objects (vectors, arrays,
lists ...) and you rather rarely need
"F. Tusell" <[EMAIL PROTECTED]> wrote on 31/03/2004 10:06:32:
[...]
>
> and yet libgc2-pic is not resolved. *HOWEVER* following your lead that
> whatever is needed must by in a library of name libg2c*, I did the
> following in /usr/lib:
>
>ln -s libg2c0.so.0 libg2c-pic.so
>
> and everythin
I'm very new to R and utterly blown away by not only the
language but the unbelievable set of packages and the
documentation and the documentation standards and...
I was an early APL user and never lost my love for it and in
R I find most of the essential things I loved about APL
except for on
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