Oops, I forgot to mention that an bug was preventing RowSideColors from
working properly. It is fixed in version 2.14.2 of gplots which I've just
uploaded to CRAN and am attaching to this email.
-Greg
On Wed, Sep 17, 2014 at 5:12 PM, Gregory R. Warnes g...@warnes.net wrote:
Hello Tim,
Sorry
Hi Jan,
The issue isn't that the ... arguments aren't passed on. Rather, the
problem is that in the current implementation the ... arguments are passed
to format(), which doesn't understand the eol argument.
The solution is to modify write.fwf() to explicitly accept all of the
appropriate the
Hello Everyone,
I mis-typed the version number in the annoucement that just went out. Here
is the corrected message:
On Fri, Jul 18, 2008 at 6:50 AM, Gregory R. Warnes
[EMAIL PROTECTED] wrote:
Random Technologies LLC is pleased to announce immediate availability of
RStat version 2.7.1.
Simply add a definition for this variable to the source for your package,
e.g.;
.Last.make.date - NULL
And the warning should go away.
-g
On 6/30/08 11:44PM , Rolf Turner [EMAIL PROTECTED] wrote:
I have written a function make.fun(), which I keep in my personal
``miscellaneous''
Hello Hans,
Do you need *both* a categorical *and* a continuous variable, or just a
continuous variable?
-Greg
On 6/24/08 4:51PM , Hans-Ulrich Klein [EMAIL PROTECTED] wrote:
Dear All,
I want to plot a heat map with annotated columns. Both functions heatmap
(stats) and heatmap.2 (gplots)
Hello Everyone,
In preparation for an upcoming talk, I would like to assemble a list
of companies that provide consulting, services, products, or training
for R.
I am already aware of a number of such companies including (in
alphabetical order):
BlueReference http://inference.us
Hi All,
I figured out my problem. There was a combination of lack of
understanding on my part, and a bit of missing functionality. I made
a small patch to the rmysqlWriteTable() function passes the field
names to MySQL corresponding to the data columns passed in:
diff -ru
On Apr 13, 2008, at 1:41PM , Dieter Menne wrote:
Spencer Graves spencer.graves at pdf.com writes:
How can I get prediction intervals from a mixed-effects model?
Consider the following example:
library(nlme)
fm3 - lme(distance ~ age*Sex, data = Orthodont, random = ~ 1)
df3.1 -
FWIW, the ci() function in the gmodels package supports generating
confidence intervals for the fixed effects of lme objects.
-G
On Apr 8, 2008, at 1:34PM , Dieter Menne wrote:
Cristian Carranza cristiancarranza_1 at hotmail.com writes:
After fitting a mixed effects model to repeated
Hello Ajay,
I'm the author of the gdata package. If you send me a copy of
an .XLS file that doesn't work with read.xls(), I'll see about fixing
the code.
-Greg
On Mar 7, 2008, at 6:17AM , Ajay Shah wrote:
1. I have used gdata::read.xls() with much happiness. But every now
and then
What's the problem?
The problem is that I would like to do a pair-wise comparison
between the
multiple slopes. For example with this model:
lm1 - lm (Sepal.Length ~ Species/Sepal.Width -1, data=iris)
# truncated output from summary(lm1)
# just the slope terms
You might look at storing the data using R's raw data type...
-G
On Feb 28, 2008, at 5:38PM , Ramon Diaz-Uriarte wrote:
Dear Christos,
Thanks for your reply. Actually, I should have been more careful with
language: its not really a sparse matrix, but rather a ragged array
that results
On Microsoft Windows systems, it may be more convenient to install
and use the XLSReadWRite packge. For non-windows systems, the
gdata package provides this function, but requires perl to be present.
-Greg
(Maintainer of gdata)
On Feb 9, 2008, at 1:09PM , Henrique Dallazuanna wrote:
You
As with many things, I suspect that someone has created plots of this
sort, but no-one seems to have contributed a function to do so. If
you find/create one, send it to me and I'll be glad to include it in
either gmodes or gplots as appropriate.
One place to check before writing one is
Hi Allen,
The dotted line is an 'extra' feature to help quantify the difference
between adjacent color boxes. It can be turned off by using the
argument heatmap.2(..., trace=none). For more details do
library(gplots)
?heatmap.2
-G
On Nov 22, 2007, at 12:03PM , affy snp
Well, this is a natural thing to program up using 3 nested 'for',
loops. Alternatively, one could use something like:
combn - function( ..., l=list(...) )
+ {
+ lens - sapply( args, length)
+ ncomb - prod(lens)
+ retval - matrix(ncol=length(args), nrow=ncomb)
+ for(i in
(2) More process and I/O facilities, specifically I'd like
forking and
something like a functionconnection which works like a
textconnection but obtains input from / feeds output to a
function.
This would allow running an external process that receives input
Ooops. One typo in the estimable command:
estimable(ModelFit, c('IQ:age'=1, 'IQ:I(age^2)'= 1, 'IQ:I(age^3)' =
1))
(Remove a trailing space in the second string.)
-G
On Nov 2, 2007, at 11:51AM , Gregory Warnes wrote:
Hello Gang,
First, if you would like to performa an overall test
, R2.6.0 patched, RWinEdt.
textplot(capture.output(summary(.model)), valign=top,
halign=left, cex=0.5)
Thanks in advance,
Jonas
On 11/1/07, Gregory Warnes [EMAIL PROTECTED] wrote:
Hi Jonas,
By default, textplot() attempts to automatically select a font size
that is 'just big enough
SASxport Version 1.2.0 is now available
---
The SASxport package provides R with full support for reading
and writing SAS xport format files.
Version 1.2.0 corrects a critical issues with storage of negative
numbers, as well as adding additional improvements
Hello Berta,
gmodels::fit.contrasts() simply performs a single-variable contrast
using the model you have specified. To perform the more involved
contrasts that you are describing, there are two approaches:
1) use the estimable() function in the gmodels package.
gmodels::estimable()
Hi All,
I'm excited to see that R-Core has released the document R:
Regulatory Compliance and Validation Issues
A Guidance Document for the Use of R in Regulated Clinical Trial
Environments (http://www.r-project.org/doc/R-FDA.pdf).
I know it represents a great deal of effort on the part of R
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