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
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.
Anne 1. After
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 release of
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
probability
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
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 thought I would get,
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,
As far
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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https://www.stat.math.ethz.ch/mailman/listinfo/r-help
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
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):
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 Warning:
If
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
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
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
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
columns?
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
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
v
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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[EMAIL PROTECTED] mailing list
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
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 I
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
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
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
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
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.
However, it
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
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),
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 memory in
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',
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
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
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 needed:
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