On Mon, 15 Nov 2010 13:28:40 -0500, Anthony Damico wrote:
Do you have any other ideas as to how I might diagnose what's going on
here? Or, alternatively, is there some workaround that would get this giant
CSV into a database? If you think there's a reasonable way to use the
IMPORT command
Sorry folks, I keep forgetting to switch to my r-help email to send the
replies so they get unintentionally sent to a moderator (particularly sorry
for that moderators...)
C
-- Forwarded message --
From: Chris Carleton w.ccarle...@gmail.com
Date: 15 November 2010 17:07
Subject:
On Nov 15, 2010, at 4:43 PM, patze003 wrote:
Hello Everyone -
I want to print a number of results from lme function objects out to
a txt
file. How could I do this more efficiently than what you see here:
out2 - capture.output(summary(mod2a))
out3 - capture.output(summary(mod3))
out4 -
Hi,
I am unable to install packages on my R 2.12.0 Windows 7 machine. Here are the
relevant lines:
sessionInfo()
R version 2.12.0 (2010-10-15)
Platform: x86_64-pc-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252
On Mon, Nov 15, 2010 at 2:07 PM, rchowdhury rchowdh...@alumni.upenn.edu wrote:
Hello,
I am using the hclust function to cluster some data. I have two separate
files with the same data. The only difference is the order of the data in
the file. For some reason, when I run the two files
Hi Mark,
If the cumbersome part is that you have to create new data to use
predict, then I think the answer is no, there is not an easier way.
However, we can consider easy ways to make new data that fit with
certain constraints (e.g., variables = their mean). Here's an
example:
## original
I don't know how the hclust function is implemented, but generally in
hierarchical clustering the result can be ambiguous if there are several
distances of identical value in the dataset (or identical between-cluster
distances occur when aggregating clusters). The role of the order of the
data
Here is the code I am using:
m - read.csv(data_unsorted.csv,header=TRUE)
m - na.omit(m)
cs - hclust(dist(t(m),method=euclidean),method=complete)
ds - as.dendrogram(cs)
In this case, m is a 106x40 matrix of doubles. When I change the order of
the columns, I get different results...
Thanks,
RC
You could display the matrix as an image then add column names (rotated used
srt) if you really want them.
x - cor(matrix(rnorm(600), 60, 100))
# set margins with extra space at top and xpd=TRUE to write outside plot
region
op-par(mar=c(1,1,5,1), xpd=TRUE)
# display image without the 90
Look at Predict.Plot (and TkPredict) from the TeachingDemos package.
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail.org
801.408.8111
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
project.org] On
Hey,
I am hoping someone can help me with a sampling question.
I have a data frame of 8 variables (the first column is the subjects' id):
SubIDCSE1 CSE2 CSE3 CSE4 WSE1 WSE2 WSE3 WSE4
1 6 5 6 2 6 22 4
2 6 4
Dear R-users,
I would like to fit a fully parametric proportional hazard model with a
weibull baseline hazard and a logit link function. This is, the hazard
function is: lambda_i (t) = lambda_0 (t) psi (x_i* beta)
where lambda_0 is a weibull distribution and psi a logistic distribution.
Does
Thanks for the suggestions. The issue for me is that the top level index is
also like a database key so it might be a bit annoying to coerce it to
char() so that I can reference it with a $ and then I would have to still be
able to find out what the name was automatically. I've got a function
Hi,
I need to convert general numbers to percentages in R to create a boxplot for
purposes of comparison.
Can you please tell me how I can do that? My data is attached as a csv file.
Thanks.
Daniel
__
R-help@r-project.org mailing list
On Mon, Nov 15, 2010 at 2:19 PM, Reshmi Chowdhury
rchowdh...@alumni.upenn.edu wrote:
Here is the code I am using:
m - read.csv(data_unsorted.csv,header=TRUE)
m - na.omit(m)
cs - hclust(dist(t(m),method=euclidean),method=complete)
ds - as.dendrogram(cs)
As Christian said, you may want to
On Mon, Nov 15, 2010 at 1:28 PM, Anthony Damico ajdam...@gmail.com wrote:
Hi Gabor,
Thank you for your willingness to help me through this. The code you sent
works on my machine exactly the same way as it does on yours.
Unfortunately, when I run the same code on the 1.3GB file, it creates
On Nov 15, 2010, at 5:07 PM, Chris Carleton wrote:
Thanks for the suggestions. The issue for me is that the top level
index is
also like a database key so it might be a bit annoying to coerce it to
char() so that I can reference it with a $ and then I would have to
still be
able to find
... and/or perhaps ?coplot in base R graphics or ?xyplot in trellis.
-- Bert Gunter
On Mon, Nov 15, 2010 at 2:25 PM, Greg Snow greg.s...@imail.org wrote:
Look at Predict.Plot (and TkPredict) from the TeachingDemos package.
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Ben Raymond Ben.Raymond at rhul.ac.uk writes:
Dear R community,
I would like to compare the degree of aggregation (or dispersion) of
bacteria isolated from plant material. My data are discrete counts
from leaf washes. While I do have xy coordinates for each plant, it
is
On Nov 15, 2010, at 5:33 PM, daniel carawan wrote:
Hi,
I need to convert general numbers to percentages in R to create a
boxplot for purposes of comparison.
Can you please tell me how I can do that? My data is attached as a
csv file.
No, it's not. Please read the Posting Guide. (.csv is
julien martin julemartin0320 at gmail.com writes:
(2) The second part of the script calls WinBUGS and run the binomial
mixture models on the count data. In this case the count matrix y was
converted to a vector C1 before being passed over to BUGS
Any idea how to create a zero truncated
Hello,
I was trying to build some functions which I would like to integrate over an
interval using the function 'integrate' from the 'stats' package. As an
example, please consider the function
h(u)=sin(pi*u) + sqrt(2)*sin(pi*2*u) + sqrt(3)*sin(pi*3*u) + 2*sin(pi*4*u)
Two alternative ways to
Em 14/11/2010 20:42, csrabak escreveu:
Em 14/11/2010 18:24, Tal Galili escreveu:
Hi John, thank you for that input.
It could be that the code I wrote here:
http://www.r-statistics.com/2010/04/changing-your-r-upgrading-strategy-and-the-r-code-to-do-it-on-windows/
Should be updated so every
Hey everybody.
I found the solution to the problem - at least for univariate statistics. In
order to use the bootstrap method for an arbitrary statistic, the syntax for
the function has to be in the form:
Given a univariate formula with argument 'x':
myfunction - function(x,p){formula(x[p])}
Hello R community,
I need to do some aggregation based on the test data below. The below
code works ok, but when its applied to my real data which includes over
9,000 records the process runs for over an hour. I know there is a more
efficient way of doing this. I want to Sum the below
Hi All!
I have some experience with R, but less experience writing scripts using
R and have run into a challenge that I hope someone can help me with.
I have multiple .csv files of data each with the same 3 columns of
data, but potentially of varying lengths (some data files are from short
On Nov 15, 2010, at 7:18 PM, Eduardo de Oliveira Horta wrote:
Hello,
I was trying to build some functions which I would like to integrate
over an
interval using the function 'integrate' from the 'stats' package. As
an
example, please consider the function
h(u)=sin(pi*u) +
Thanks! Seems to work just fine!
Best regards,
Eduardo Horta
On Mon, Nov 15, 2010 at 10:37 PM, David Winsemius dwinsem...@comcast.netwrote:
On Nov 15, 2010, at 7:18 PM, Eduardo de Oliveira Horta wrote:
Hello,
I was trying to build some functions which I would like to integrate over
an
Thanks for the suggestions, but 'cat' is not causing name space conflicts
for me and since I'm not packaging the code for anyone else to use, I'm less
than concerned about potential conflicts. I did type that too quickly, and I
have resolved my problem using a workaround that does not involve
Hello,
Is this what you want ?
sampleX - function(X, nGrp1, nsamples)
# X is matrix or data.frame with cols for two groups of variables
# with grp1 in cols 2:5 and grp2 in cols 6:9
#
# nGrp1 - number of variables to sample from group 1
#
# nsamples - number of rows in output matrix
if (nGrp1
On Nov 15, 2010, at 7:58 PM, Chris Carleton wrote:
Thanks for the suggestions, but 'cat' is not causing name space
conflicts for me
install.packages(
library(fortunes)
fortune(dog)
and since I'm not packaging the code for anyone else to use, I'm
less than concerned about potential
Hi:
Perhaps this post from earlier today will be useful:
http://r.789695.n4.nabble.com/Re-interpretation-of-coefficients-in-survreg-AND-obtaining-the-hazard-function-td3043160.html#a3043160
HTH,
Dennis
2010/11/15 Lorena Avendaño mlorena.avend...@gmail.com
Dear R-users,
I would like to fit a
Hi,
I'm using R-2.12 on a linux 64bit machine.
When I run a chunk of code inside a foreach() %do% { ...} or %dopar%
{...} (with doMC backend) I keep getting a segfault. Running the
*same* code within lapply(something, function(x) ... ) doesn't result
in any segfaults. I'll paste the output
Hi everyone,
I'm having a little trouble with working out what formula is better to use
for a repeated measures two way anova. I have two factors, L (five levels)
and T (two levels). L and T are both crossed factors (all participants do
all combinations). So, I do:
Hi Anthony,
On Mon, Nov 15, 2010 at 7:07 AM, Anthony Damico ajdam...@gmail.com wrote:
Hi, I'm working in R 2.11.1 x64 on Windows x86_64-pc-mingw32. I'm trying to
insert a very large CSV file into a SQLite database. I'm pretty new to
working with databases in R, so I apologize if I'm
Hi:
See inline.
On Mon, Nov 15, 2010 at 4:26 PM, Nate Miller natemille...@gmail.com wrote:
Hi All!
I have some experience with R, but less experience writing scripts using
R and have run into a challenge that I hope someone can help me with.
I have multiple .csv files of data each with
Hi list,
I have been trying to create a legend for a plot that includes polygons,
lines, and points. I've included an example below.
I have two problems with this legend.
1. I can't seem to change the colour of the box that represents the polygon
in the legend.
2. The boxes and points in the
Hello Cesar,
Thank you for the reply.
Another question I have is if it is possible to detect the library path of
an old R install, from the terminal of the new R install.
Cheers,
Tal
Contact
Details:---
Contact me:
The error seems to be a BioC problem[*] and associated with having a
package installed with an empty DESCRIPTION file. So please take a
look at your installed packages and remove any such.
The following R code may help:
for(lib in .libPaths()) {
descs - Sys.glob(file.path(lib, *,
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