Paul Murrell wrote:
Hi
Pisut Tempatarachoke wrote:
Hi all,
In the following example,
#--EXAMPLE--
test - function(subfigure)
{
plot(c(1:10),c(1:10),cex=4)
text(1,9,subfigure,cex=10)
}
m - matrix(c(1,2,5,5,3,4,5,5),4,2)
layout(m)
test(a)
test(b)
test(c)
test(d)
What do you mean `did not work'? Did it not start (you may need to reboot
your machine to clear its memory tables) or did your task run out of
memory?
Please do read the posting guide and its references, and try to give
useful information about the problem you encounter. Saying `did not
Playing with randomForest, samples run fine. But on real data, no go.
Here's the setup: OS X, same behavior whether I'm using R-Aqua 1.8.1 or the
Fink compile-of-my-own with X-11, R version 1.8.1.
This is on OS X 10.3 (aka Panther), G4 800Mhz with 512M physical RAM.
I have not altered the
When you have fairly large data, _do not use the formula interface_, as a
couple of copies of the data would be made. Try simply:
Myforest.rf - randomForest(Mydata[, -46], Mydata[,46],
ntrees=100, mtry=7)
[Note that you don't need to set proximity (not proximities)
Thanks for the pointer!! Can't believe you got back to me so quickly on a
Sunday evening. I'll give that a shot and let you know how it goes.
On 4/4/04 19:07, Liaw, Andy [EMAIL PROTECTED] wrote:
When you have fairly large data, _do not use the formula interface_, as a
couple of copies of the
hi everybody
i'm looking for a function to estimate a regression model via the Cochrane
Orcutt method
thanks
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[EMAIL PROTECTED] mailing list
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PLEASE do read the posting guide!
Do you mean in Linux, there is no need to set memory limit? If needed, how
to set it? Thanks.
From: Roger D. Peng [EMAIL PROTECTED]
To: Yi-Xiong Sean Zhou [EMAIL PROTECTED]
CC: [EMAIL PROTECTED]
Subject: Re: [R] memory limit problem
Date: Sun, 04 Apr 2004 00:13:46 -0500
In general, this is
Dear pnick,
If you search the r-help archives, you'll see that some time ago I posted a
Cochrane-Orcutt function. It's not clear to me, however, why you'd want to
use this in preference to the gls function in the nlme package.
I hope this helps,
John
-Original Message-
From: [EMAIL
hi: sorry to bother you all again. I am running a simple lm(y~x+z)
regression, in which some of the observations are missing.
Unfortunately, the residuals vector from the lm object omits all the
missing values, which means that I cannot simply do residual
diagnostics (e.g., plot(y,x)).
x-rnorm(20)
mean(x)
[1] -0.2272851
results-boot(x,mean,R=5)
What in the world am I missing??
See http://www.mayin.org/ajayshah/KB/R/statistics.html
--
Ajay Shah Consultant
[EMAIL PROTECTED] Department of Economic
Hello list,
Could the following be done without too much grief...?
Lets say I have two or three time series objects that I want to inspect
visually. Each I would plot with a y-offset so they stack up. They share
the same X scaling. The problem is that each is perhaps 100K values. Due
to the
Could the following be done without too much grief...?
It sounds possible, but there are already packages that deal with these
issues. Some suggestions:
1) Use SVG plots, and Adobe's SVG Viewer plug-in for various web browsers.
See the RSvgDevice package for details.
2) Use the Java graphics
If I understand correctly, storelist and customerlist are two column matrices
of lat and long and you want all combos less than a certain distance apart
sorted by store and distance.
dd is the distance matrix of all pairs. We form this into a data frame of row
numbers (i.e. store numbers),
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