On Fri, 2003-09-05 at 21:37, Dirk Eddelbuettel wrote:
> On Fri, 2003-09-05 at 07:13, James Wettenhall wrote:
> > I've been trying to install R on Red Hat Linux 9 for some
> > potential users of my R/TclTk application. I tried using the
> > rpm for R 1.7.1 for Red Hat Linux 9. It told me that I n
On Fri, 2003-09-05 at 07:13, James Wettenhall wrote:
> I've been trying to install R on Red Hat Linux 9 for some
> potential users of my R/TclTk application. I tried using the
> rpm for R 1.7.1 for Red Hat Linux 9. It told me that I needed:
> libtcl8.3.so
> so I looked for a binary release of Tc
Hello,
This is an embarassingly simple question, but I cannot get subset to work with
describe.
dataframe is attached and called Ph
>describe(q1, subset=qs3a==1)
qs3a is numeric.
This runs, but no subset takes place.
Thanks in advance.
Greg Blevins
The Market Solutions Group
[[alter
It's been published in:
Journal of Applied Econometrics 17 : 175-189 (2002)
Bart Benthul <[EMAIL PROTECTED]> wrote:
Short and basic:
http://www.buseco.monash.edu.au/depts/ebs/pubs/wpapers/2001/10-01.php
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] Behalf Of Fr
On 5 Sep 2003 at 16:20, tzhou1 wrote:
I don't know what a skew t distribution is, but
help.search("skew t")
gives
dmst(sn)Multivariate skew-t distribution
dst(sn) Skew-t Distribution
dst2.plot(sn) Plot of Bivariate Skew-t Density Function
msn.affine(sn)
On 5 Sep 2003 at 14:30, Peter Flom wrote:
prof <- c('Accountant', 'Administrative assistant', 'Garment worker',
'Cook',
'Dentist', 'General practictioner', 'Graduate student',
'High level manager',
'Low level manager', 'Mechanical engineer', 'Mechanic',
'Minister/priest/rabbi',
'Nurse'
Hi,
I am having some trouble to find the correct syntax in R for analysing my
results. I am running a experiment in which we measure the force exerted by
the subjects (the independent variable) under two different fixed factors.
Each factor has two levels, so that each subject participated to sev
Hi,
Is there a function in R that I can use to fit the data with skew t
distribution? Speaking in detail, I first used the kernel density estimation
to fit my data, then I drew the skew t using my specified location, scale,
shape, and df to make it close to the kernel density. Now I want to get
William Noble <[EMAIL PROTECTED]> writes:
> Hello,
>
> I am trying to do an ANOVA on a microarray data set consisting of
> 22690 elements. The ANOVA is fine, but when I try to put the data in
> a frame in order to exporting it, I get a stack overflow. I have
> found documentation on dynamic mem
Hi Peter,
Dotchart plots the points in the order that it receives them - to plot them in
order of increasing mol, you need to sort mol first. To make sure you keep the
right prof associated to the right mol, I'd use names to connect the two first
(this also means you don't need to provide an expl
Bill -
Here's what I would do, starting after your display of anovaresults[[1]].
temp.1 <- unlist(lapply(anovaresults, function(x) { x["Pr(>F)"][1:3],] }))
temp.2 <- matrix(temp.1, length(anovaresults), 3, byrow=T)
dimnames(temp.2) <- list(names(anovaresults),
dimnames(
Hello,
I am trying to do an ANOVA on a microarray data set consisting of
22690 elements. The ANOVA is fine, but when I try to put the data in
a frame in order to exporting it, I get a stack overflow. I have
found documentation on dynamic memory in R, but not on how to increase
the stack size.
This one is ugly, but works...
molprof<-data.frame(mol,prof)
molprof <- molprof[with(molprof,order(mol)), ]
dotchart(molprof$mol, labels = as.character(molprof$prof), main = 'Dot
chart', xlab = 'Meaning of life score')
HTH
Tito
Le ven 05/09/2003 à 18:30, Peter Flom a écrit :
> Sorry to keep as
Hi:
I have written a Fortran program based on the Gaver-Stehfest algorithm,
which uses only real numbers (as opposed to the more powerful methods
using complex numbers). However, this can't be used in R since the
function specifying the inverse of the Laplace transform must also be
written in
On 05-Sep-03 Deepayan Sarkar wrote:
>
> Oops, forgot the attachment.
>
> On Friday 05 September 2003 12:45 pm, Deepayan Sarkar wrote:
>> The prepanel function returns separate limits for x and y axes. This
>> does not translate to splom, since each limit is used on both the x
>> and y axes.
>> Ho
One must estimate 2 coefficients for a 3-level factor. I therefore
prefer to look for a plausible order between the 3 levels so I can code
them as -1, 0, +1 and then estimate linear and quadratic coefficients.
Then for interactions, I look first for interactions between the linear
effect of
Sorry to keep asking elementary questions..I appreciate the help.
I am trying to create a dotchart with the rows sorted according to the
values, rather than the labels. When I try
prof <- c('Accountant', 'Administrative assistant', 'Garment worker',
'Cook',
'Dentist', 'General practictione
Hi Deepayan,
Thanks again, especially for the careful explanation. Some comments
(in snipped context) below:
On 05-Sep-03 Deepayan Sarkar wrote:
> On Friday 05 September 2003 10:04 am, Ted Harding wrote:
>> Another query:
>>
>> I'm now trying to have the x- and y-axes all on the same scale
>> (0:1
In response to a question from Francisco J. Bido, about how to create
dummy variables, Doug Bates and others essentially said ``Don't.''
Which is good advice, but
Recently I encountered a problem involving a linear model with a
three level factor (levels low, medium, and high) crossed with l
Oops, forgot the attachment.
On Friday 05 September 2003 12:45 pm, Deepayan Sarkar wrote:
> The prepanel function returns separate limits for x and y axes. This does
> not translate to splom, since each limit is used on both the x and y axes.
> However, it is natural to add a new optional argume
On Friday 05 September 2003 10:04 am, Ted Harding wrote:
> Another query:
>
> I'm now trying to have the x- and y-axes all on the same scale
> (0:15) in every panel, whereas the default behaviour of splom
> is to scale them according to the ranges of the individual
> variables in each panel.
>
> So
Short and basic:
http://www.buseco.monash.edu.au/depts/ebs/pubs/wpapers/2001/10-01.php
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] Behalf Of Francisco J. Bido
Sent: Friday, September 05, 2003 10:52 AM
To: [EMAIL PROTECTED]
Subject: [R] R Documentation with Emphasi
Hi Everyone,
There's a lot of good documentation out there but I haven't come across
one that makes econometrics it's primary focus. Do any of
you know of any?
Thanks,
-Francisco
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On 5 Sep 2003 at 8:31, Francisco J. Bido wrote:
Yes, model matrix is the answer, and if it has many arguments, it
also has many reasonable defaults. When I am trying out a new
function, I just accept the dafaults for a starter.
>
> x <- c(1:10) #data to be broken up into dummy variables
Thanks Douglas,
I see what your saying. One of the reasons that I ask this question
(besides being a complete R rookie) is to obtain good form and habits.
R seems to be extremely capable and flexible (and of course also pretty
dense) thank God for the mailing list. Your example and the feedb
Douglas Bates <[EMAIL PROTECTED]> writes:
> > x <- c(1:10) #data to be broken up into dummy variables
> > v <- c(3,5,7) #breakpoints
> > p = 1#drop this column to avoid dummy variable trap
> >
> > How can I get a matrix "y" that has the associated dummy variables for
> >
Peter Whiting wrote:
I have a data frame with 155,000 rows. One of the columns
represents the user id (of which about 10,000 are unique). I am
able to isolate 1000 of these user ids (stored in a list) that
I want to eliminate from the data set, but I don't know of an
efficient way to do this. Cer
"Francisco J. Bido" <[EMAIL PROTECTED]> writes:
> Hi There,
>
> While looking through the mailing list archive, I did not come across
> a simple minded example regarding the creation of dummy variables.
> The Gauss language provides the command "y = dummydn(x,v,p)" for
> creating dummy variables.
I can't see what would be wrong with
newdf <- subset(df, uid %in% listofgoodusers)
or
newdf <- subset(df, !(uid %in% listofbadusers))
Is this what you want? Please note the code you supplied will
not run at all, let alone slowly, so it is not easy to know exactly
what you are trying to achieve
>
Hi,
Anybody can suggest a good Ecological Modelling's Book.
Thanks
Ronaldo
--
O céu sueco.
-- palíndromo
--
|> // | \\ [***]
| ( õ õ ) [Ronaldo Reis Júnior]
|> V [UFV/DBA-Entomologia]
|/ \
Dear Francisco,
At 08:31 AM 9/5/2003 -0500, Francisco J. Bido wrote:
Hi There,
While looking through the mailing list archive, I did not come across a
simple minded example regarding the creation of dummy variables. The
Gauss language provides the command "y = dummydn(x,v,p)" for creating
dum
I have a data frame with 155,000 rows. One of the columns
represents the user id (of which about 10,000 are unique). I am
able to isolate 1000 of these user ids (stored in a list) that
I want to eliminate from the data set, but I don't know of an
efficient way to do this. Certainly this would be s
If I understand you correctly, you want to stack the 15 columns on top of
one another? I assuming all the data is numeric?
In this case, convert the data.frame to a matrix and set the dim of the
matrix to NULL.
If df is the data.frame,
df1 <- as.matrix(df)
dim(df1) <- NULL
<[EMAIL PROTECT
Dear Arne,
At 05:07 PM 9/5/2003 +0200, [EMAIL PROTECTED] wrote:
Hello,
I've a data frame with 15 colums and 6000 rows, and I need the data in a
single vector of size 9 for ttest. Is there such a conversion function in
R, or would I have to write my own loop over the colums?
thanks for
Use unlist.
In any case, don't write an explicit "loop over
the columns". See ?lapply instead.
> -Original Message-
> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
> Sent: 05 September 2003 16:08
> To: [EMAIL PROTECTED]
> Subject: [R] all values from a data frame
>
>
> Security War
Another query:
I'm now trying to have the x- and y-axes all on the same scale
(0:15) in every panel, whereas the default behaviour of splom
is to scale them according to the ranges of the individual
variables in each panel.
So I tried (emulating the responses to my earlier query):
splom(log(1+
Hello,
I've a data frame with 15 colums and 6000 rows, and I need the data in a
single vector of size 9 for ttest. Is there such a conversion function in
R, or would I have to write my own loop over the colums?
thanks for your help + kind regards
Arne
___
Hello, it wanted to know if exists in R any package that carry out skins on
the widget of tcl, rounded button style window XP. Thanks Ruben
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Brian D Ripley <[EMAIL PROTECTED]> writes:
> From <[EMAIL PROTECTED]>
> > Windows Versions of R and R packages under Intel Linux$)A!1 by Jun
> > Yan and A. J. Rossini and used their Makefile. But it kept giving error
> We quite explicitly say you need to build R first. If Yun-Rossini do not
> "Peter" == Peter Flom <[EMAIL PROTECTED]>
> on Thu, 04 Sep 2003 13:28:12 -0400 writes:
Peter> Hello When I run
Peter> scatter.smooth(jitter(weight), jitter(height2), span
Peter>= .25, evaluation = 50, pch = '.')
Peter> I get the type of graph I thoug
Sorry - couldn't resist chipping in.
Firstly, this sort of conversation has been done over and over again on
the S-News list, and I'd look in the archives for more info.
My background: I was a SAS "statistical programmer" in the pharma
industry before I joined Insightful (S-PLUS guys). I now wor
Im trying to perform an autoregressive spectral analysis to a multivariate time series
in order to analyse cross spectrum.
The multivariate case is not yet implemented; i would like to know if there are some
package or add-on that allows to perform spec.ar analysis on multivariate time series
From: "Damon Wischik" <[EMAIL PROTECTED]>
> Paul Meagher wrote:
> > 2. Does R have a suite of "best-fit" tools for finding the best
> > fitting-probability distribution for any observed probability
distribution?
>
> I think that the best-fitting probability distribution for an observed
> probabili
On Fri, 5 Sep 2003, Paul, David A wrote:
>
> d. Because SAS is commercial software, a posteriori errors found in
> clinical trials analyses (and due to software issues) can be
> attributed by the NDA applicants to the SAS Institute.
> Lawyers really like this. Of course, Splus is also commercial
On Fri, 2003-09-05 at 07:13, James Wettenhall wrote:
> Hi,
>
> I've been trying to install R on Red Hat Linux 9 for some
> potential users of my R/TclTk application. I tried using the
> rpm for R 1.7.1 for Red Hat Linux 9. It told me that I needed:
> libtcl8.3.so
> so I looked for a binary rele
Hi There,
While looking through the mailing list archive, I did not come across a
simple minded example regarding the creation of dummy variables. The
Gauss language provides the command "y = dummydn(x,v,p)" for creating
dummy variables.
Here:
x = Nx1 vector of data to be broken up into dummy
On Fri, 5 Sep 2003, Brian D. Ripley wrote:
> In general I find such discussions irrelvant.
> I bet those users make far, far more errors then any
> of these packages do so.
However, without having the discussions with my colleagues,
nothing will ever change. The perception of SAS' "bestness
Hi,
I've been trying to install R on Red Hat Linux 9 for some
potential users of my R/TclTk application. I tried using the
rpm for R 1.7.1 for Red Hat Linux 9. It told me that I needed:
libtcl8.3.so
so I looked for a binary release of Tcl 8.3.x on
http://www.tcl.tk/software/tcltk/8.3.html
but
Yes, that's it! Well spotted (and maybe new glasses for me ...).
Thanks! Andy's solution now also works beautifully.
Ted.
On 05-Sep-03 Andrew C. Ward wrote:
> I wonder if it's as simple as the two dots ("..") in the
> splom line rather than three?
>
> Regards,
>
> Andrew C. Ward
>> However, th
I wonder if it's as simple as the two dots ("..") in the
splom line rather than three?
Regards,
Andrew C. Ward
CAPE Centre
Department of Chemical Engineering
The University of Queensland
Brisbane Qld 4072 Australia
[EMAIL PROTECTED]
Quoting Ted Harding <[EMAIL PROTECTED]>:
> Thanks, Deepayan
> "Anne" == Anne York <[EMAIL PROTECTED]>
> on Thu, 4 Sep 2003 10:41:25 -0700 (PDT) writes:
Anne> I have compiled R 1.7.1 with gnome and installed the
Anne> gtkDevice on a Linux RH 8 system. This is my first use
Anne> of this device and I have two questions about it.
A
Thanks, Deepayan and Andy, for suggesting solutions.
Deepayan's solution seems to work beautifully, producing exactly
what is wanted, as it stands:
On 05-Sep-03 Deepayan Sarkar wrote:
>
splom(log(1 + DF),
panel = function(x, y, ...) {
panel.xyplot(x, y, ...)
ok
> On Thu, 4 Sep 2003, Paul, David A wrote:
>
>> I am one of only 5 or 6 people in my organization making the
>> effort to include R/Splus as an analysis tool in everyday work - the
>> rest of my colleagues use SAS exclusively.
>>
>> Today, one of them made the assertion that he believes the
>> nu
> I am a new user of R and am building an R add-on package. I followed the
> "Writing R Extension" manual from cran website but still met some
> problems that I cannot solve. I build it under redhat linux 9.0 R1.7.0.
> Say foo is the name of the package.
Do read the instructions!
> First, after
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