Hi Tom,
Just wanted to chime-in and let you know that the linked figures are really
cool! Keep up the good work.
On an un-related note, any talk of future GRASS training sessions?
Cheers,
Dylan
On Tuesday, October 04, 2011, thomas.ad...@noaa.gov wrote:
Hadley,
Thanks for responding. No,
Save the result of histogram(), then print() the saved object.
On Aug 4, 2011 5:13 PM, Mark Ebbert mark.ebb...@hci.utah.edu wrote:
Dear R Gurus,
I'm seeing some strange behavior that I can't explain. I'm generating a
figure for a paper and I like to save the script (no matter how simple) for
On Wed, Jul 20, 2011 at 10:43 PM, David Winsemius
dwinsem...@comcast.net wrote:
On Jul 21, 2011, at 1:04 AM, Daniel Malter wrote:
http://mlg.eng.cam.ac.uk/dave/rmbenchmark.php
I haven't ever tried it myself, but online sources suggest that Matlab
possibly gains speed by internally avoiding
Analysis of covariance comes to mind, and it looks like you have
already setup your data for that type of analysis. I can't speak on
issues related to the different number of samples (maybe a place for
mixed modeling?), but from the results below (from lm) it looks like
you can conclude that the
))
}
mean(m)
}
system.time(ddply(d, .(id), .fun=f, .parallel=FALSE))
# user system elapsed
# 2.740 0.016 2.766
system.time(ddply(d, .(id), .fun=f, .parallel=TRUE))
# user system elapsed
# 2.720 0.000 2.726
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http
On Thursday 16 September 2010, David Winsemius wrote:
On Sep 16, 2010, at 1:11 PM, Dylan Beaudette wrote:
Hi,
I have been trying to use the new .parallel argument with the most
recent
version of plyr [1] to speed up some tasks. I can run the example in
the NEWS
file [1
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sometimes... i.e. when I use a
different seed for the random matrix 'x', the results are correct in some
cases.
Any ideas?
Thanks for the very useful 'ape' package!
Cheers,
Dylan
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University of California
Hi,
The 'aqp' package originally used the subplot function to add images
to to a dendrogram plot. I have since changed to use base graphics
primitives, as the results tend to scale better. I avoided the use of
'layout' because sometimes it is convenient to add further
embellishments that
for inclusion within a LATEX document.
Thanks!
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On Friday 28 May 2010, Frank E Harrell Jr wrote:
On 05/28/2010 03:49 PM, Dylan Beaudette wrote:
Hi,
I have fit a model using the rms package with the Gls() function.
Is there a way to get the model estimates, std errors, and p-values (i.e.
what you get with print(fit)) into latex
and provide commented, minimal,
self-contained, reproducible code.
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(and not attached):
[1] cluster_1.12.0
Any ideas?
Thanks!
Dylan
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On Sat, Jan 30, 2010 at 12:45 PM, Jonathan Greenberg
greenb...@ucdavis.edu wrote:
Rhelpers:
Having a problem solving this. I have an xyplot call that looks like
this:
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On Mon, Jan 18, 2010 at 3:25 PM, Eric Fail e...@it.dk wrote:
Hi Ruser
I'm trying to replicate some SAS code. I have to add a spline to my
longitudinal spaghetti plot.
I have the plot, but I can't add the spline, a overall trend line. In the
SAS code they use the command 'I=SM50S' and I
?try
On Fri, Jan 1, 2010 at 12:41 PM, Peng Yu pengyu...@gmail.com wrote:
read.table terminates the program if the input file is empty. Is there
way to let the program continue and return me a NULL instead of
terminating the program?
$ Rscript read_empty.R
read.table(empty_data.txt)
Error
suggests that R is encountering an error, and stopping. However
there is no reporting of the error. Is there any way to get more verbose
error reporting?
Cheers,
Dylan
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On Wednesday 25 November 2009, Barry Rowlingson wrote:
On Wed, Nov 25, 2009 at 8:15 PM, Dylan Beaudette
debeaude...@ucdavis.edu wrote:
Hi,
I am trying to transition a system based on dynamic image generation (via
R) from our development system to a production environment. Our R script
commented, minimal,
self-contained, reproducible code.
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On Monday 26 October 2009, Frank E Harrell Jr wrote:
Dylan Beaudette wrote:
Hi,
Using the latest rms package I am able to make nice plots of model
predictions +/- desired confidence intervals like this:
# need this
library(rms)
# setup data
d - data.frame(x=rnorm(100), y=rnorm
? If it is not possible, then I will try and manually make the
figure with basic lattice functions.
Cheers,
Dylan
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University of California at Davis
530.754.7341
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?
Cheers,
Dylan
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PLEASE do read the posting
On Friday 23 October 2009, Frank E Harrell Jr wrote:
Dylan Beaudette wrote:
Hi,
I have fit a series of ols() models, by group, in this manner:
l - ols(y ~ rcs(x, 4))
... where the series of 'x' values in each group is the same, however
knots are not always identical between groups
values. I
would like to cluster such that similar samples appear together. thanks!
Hi,
See the 'cluster' package. You will need to select a distance metric that can
deal with factors. The 'Gower' metric is one that is commonly used.
Cheers,
Dylan
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On Wed, Sep 9, 2009 at 5:43 AM, Kim Vanselowvanse...@gmx.de wrote:
Dear r-Community,
Step1: I would like to calculate a NMDS (package vegan, function metaMDS)
with species data.
Step2: Then I want to plot environmental variables over it, using function
envfit.
The Problem: One of these
Here is an example:
http://casoilresource.lawr.ucdavis.edu/drupal/node/510
make.groups() is your friend.
Cheers,
Dylan
On Fri, Sep 4, 2009 at 8:28 AM, Paul Sweetingm...@paulsweeting.co.uk wrote:
Hi
Well, I think the title says it all! I've looked through the documentation
but I can't
Hi,
I was hoping to clarify the exact behavior associated with this incantation:
validate(fit.ols, method='cross', B=50)
Output:
index.orig trainingtest optimism index.corrected n
R-square 0.5612 0.5613 0.5171 0.0442 0.5170 50
MSE 1.3090 1.3086
.
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Hi,
how about something like this:
a - 1:10
b - cumsum(a)
c - cumsum(b)
d - cumsum(c)
X- data.frame(a,b,c,d)
plot(b ~ a, data=X, type=l, col=blue, ylim=c(0,max(X)))
lines(c ~ a, data=X, col=green)
lines(d ~ a, data=X, col=red)
legend('topleft', legend=c('a', 'b', 'c'), col=c('blue', 'green',
Urbana, IL 61801
On Jun 30, 2009, at 3:54 PM, Dylan Beaudette wrote:
Hi,
I am trying to use quantile regression to perform weighted-
comparisons of the
median across groups. This works most of the time, however I am
seeing some
odd output in summary(rq()):
Call: rq
Koenker
emailrkoen...@uiuc.eduDepartment of Economics
vox: 217-333-4558University of Illinois
fax: 217-244-6678Urbana, IL 61801
On Jul 1, 2009, at 2:48 PM, Dylan Beaudette wrote:
Thanks Roger. Your comments were very helpful
, 2009, at 4:52 PM, Dylan Beaudette wrote:
On Wednesday 01 July 2009, roger koenker wrote:
It's not clear to me whether you are looking for an exploratory tool
or something more like formal inference. For the former, it seems
that estimating a few weighted quantiles would be quite useful
(sand ~ method, data=x, tau=0.5, method='fn'), se='ker')
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varclust() in the Hmisc package might be what you are looking for.
Dylan
On Tue, Jun 30, 2009 at 7:27 PM, alexander.h...@csiro.au wrote:
Hi List,
I am looking for a procedure that allows selection of variables in a
clustering attempt.
Specifically I am searching for a way of selecting
guide
http://www.R-project.org/posting-guide.html and provide commented, minimal,
self-contained, reproducible code.
are you looking to perform this column-wise or row-wise?
see ?apply for ideas
cheers,
Dylan
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Not an expert, but I would try some of the following:
# tabulate joint frequencies
?table
?xtabs
# plotting
mosaicplot(Titanic, main = Survival on the Titanic, color = TRUE, shade=TRUE)
# log-linear models
check the library for more ideas.
Cheers,
Dylan
On Fri, Jun 19, 2009 at 2:04 PM,
Hi,
take a look at the following manual pages:
?lm
?longley
In general, you would use Wilkinson-Rogers notation for linear models:
y ~ x + z, etc.
Some nice examples here:
http://data.princeton.edu/R/linearmodels.html
Cheers,
Dylan
On Thu, Jun 18, 2009 at 11:04 AM, Martin
V2
1 A a 0.1555472 3.196626
2 A b 4.9836106 5.559472
3 B c 100.0587593 101.723630
4 B d 150.7257066 149.865093
# might need some more work to convert that back into 'long format' for
modeling...
Cheers,
Dylan
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http
On Mon, Jun 15, 2009 at 6:57 PM, Ben Amselbenam...@gmail.com wrote:
Hello R users,
Given a linear (in the parameters) regression model where one predictor x
interacts with time and time*time (ie, a quadratic effect of time t):
y = b0 + b1(x) + b2(t) + b3(t^2) + b4(x*t) + b5(x*t^2) + e,
I
On Sun, Jun 14, 2009 at 4:39 PM, Nathan S.
Watson-Haighnathan.watson-ha...@csiro.au wrote:
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
Is there a library which is capable of identifying distinct clusters of size n
from a series of XY coordinates?
Failing this, I'd like to be able to to
On Sun, Jun 14, 2009 at 7:26 PM, Nathan S.
Watson-Haighnathan.watson-ha...@csiro.au wrote:
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
Dylan Beaudette wrote:
On Sun, Jun 14, 2009 at 4:39 PM, Nathan S.
Watson-Haighnathan.watson-ha...@csiro.au wrote:
-BEGIN PGP SIGNED MESSAGE-
Hash
statistic ?
On Fri, 5 Jun 2009, Dylan Beaudette wrote:
Is anyone aware of a rank-based, non-paired test such as the
Krustal-Wallis,
that can accommodate weights?
You don't say what sort of weights, but basically, no.
Whether you have precision weights or sampling weights, the test
and authenticate fine to the
https url using a browswer, it is just svn that croaks. Ideas ? Does this
now need rpc or portmap back to me? ]
Dirk
| Neil
|
| On Jun 6, 2009, at 11:18 PM, Joe Conway wrote:
| Dylan Beaudette wrote:
| After some further investigation, I see that the query works fine
Hi,
some ideas:
?split
?by
library(plyr)
?ddply
Cheers,
Dylan
On Sun, Jun 7, 2009 at 10:26 AM, jonathanbriggsjonathanbri...@mac.com wrote:
Apologies if this is an obvious question but I am teaching myself R and the
occasional push in the right direction is much appreciated?
I have a
One approach to this is generating a representative sequence of your
x-variable(s) with seq() or expand.grid(). Next use the predict()
function to make predictions from your glm object along the sequence.
Finally, plot the predictions vs. the new sequence. Putting everything
into a dataframe
Hi,
Is anyone aware of a rank-based, non-paired test such as the Krustal-Wallis,
that can accommodate weights?
Alternatively, would it make sense to simulate a dataset by duplicating
observations in proportion to their weight, and then using the Krustal-Wallis
test?
thanks!
Dylan
On Friday 05 June 2009, Thomas Lumley wrote:
On Fri, 5 Jun 2009, Dylan Beaudette wrote:
Is anyone aware of a rank-based, non-paired test such as the
Krustal-Wallis, that can accommodate weights?
You don't say what sort of weights, but basically, no.
Whether you have precision weights
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On Thursday 04 June 2009, Dirk Eddelbuettel wrote:
On 4 June 2009 at 16:17, Dylan Beaudette wrote:
| Hi,
|
| I recently upgraded to R 2.9.0 on linux x86. After doing so, I switched
| to the RPostgreSQL package for interfacing with a postgresql database. I
| am using postgresql 8.3.7
=c('red','green','blue'))
# comparison of means (without weights):
# effects are equal to treatment means
summary(lm(values ~ treatment, data=d))
# comparison with means
# effects are equal to treatment weighted-means
summary(lm(values ~ treatment, data=d, weights=wts))
Thanks,
Dylan
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Dylan
On Wednesday 06 May 2009, spencerg wrote:
help.search('bayes') only searches installed packages.
To go beyond that, you might try the following:
Thanks for the clarification.
Dylan
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University
], iris[,5])
table(predict(m, iris[,1:4]), iris[,5])
Dylan
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the posting guide
http://www.R-project.org/posting-guide.html and provide commented, minimal,
self-contained, reproducible code.
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Soil Resource Laboratory
http://casoilresource.lawr.ucdavis.edu/
University of California at Davis
530.754.7341
probably get them on
windows without much effort.
Cheers,
Dylan
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On Sat, Mar 21, 2009 at 5:13 PM, UBC cheong0...@hotmail.com wrote:
so i am having this question
what should i do if the give data file (.txt) has 4 columns, but different
lengths?
how can i read them in R?
any idea for the following problem?
Gas consumption (1000 cubic feet) was measured
' section of all the package's help files.
Frank
Absolutely. From the perspective of a user, not an expert, packages with a
good vignette and lots of examples are by far my favorite and most used.
Dylan
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University
On Mon, Feb 16, 2009 at 5:28 PM, Patrick Giraudoux
patrick.giraud...@univ-fcomte.fr wrote:
Greg Snow a écrit :
One approach is to create your own contrasts matrix:
mycmat - diag(8)
mycmat[ row(mycmat) == col(mycmat) + 1 ] - -1
mycmati - solve(mycmat)
contrasts(agefactor) - mycmati[,-1]
. I haven't encountered the error before and
*expected* screen to take care of connection problems... However I cannot
confirm that it would work for your case... Sorry!
Dylan
Dylan Beaudette wrote:
Try starting your R session after starting a 'screen' session. Like this:
$ screen
$ R
Try starting your R session after starting a 'screen' session. Like this:
$ screen
$ R
# do stuff, when taking a break do CTRL-A D to disconnect
# use as normal
See the man page for screen, it is basically a terminal multiplexer
that can gracefully accommodate connection failures. If you get
of the dependent variable?
[...]
m1se-summary(lm(disease ~ age, data=dsub))$sigma
m2se-summary(lm(log(disease) ~ age, da=dsub))$sigma
[...]
or would the differences in scales render meaningless results?
Cheers,
Dylan
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?
Thanks,
Dylan
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PLEASE do read the posting
On Fri, Jan 23, 2009 at 4:45 PM, Deepayan Sarkar
deepayan.sar...@gmail.com wrote:
On Fri, Jan 23, 2009 at 3:00 PM, Dylan Beaudette
debeaude...@ucdavis.edu wrote:
Hi,
is it possible to reverse the order in which panel.lmline() or panel.smooth()
operation in xyplot() ? This type of situation
On Friday 09 January 2009, Joe Conway wrote:
Dylan Beaudette wrote:
Subsequent calls to:
conn - dbConnect(PgSQL(), host=localhost, dbname=xxx, user=xxx)
query - dbSendQuery(conn, query_text)
res - dbGetResult(query)
are resulting in this:
*** glibc detected *** /usr/local/lib/R
Dylan Beaudette wrote:
On Friday 09 January 2009, Joe Conway wrote:
Dylan Beaudette wrote:
Subsequent calls to:
conn - dbConnect(PgSQL(), host=localhost, dbname=xxx, user=xxx)
query - dbSendQuery(conn, query_text)
res - dbGetResult(query)
are resulting in this:
*** glibc detected
attached packages:
[1] RdbiPgSQL_1.8.0 Rdbi_1.8.0 lattice_0.17-20
Any ideas?
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Hi,
I am not quite sure how to interpret the differences in output when
changing conf.type from the default mean to individual. Are these
analogous to the differences between confidence and prediction
intervals, as defined in predict.lm {stats} ?
Thanks in advance.
Dylan
On Tue, Dec 9, 2008 at 6:03 PM, Thybério Luna Freire [EMAIL PROTECTED] wrote:
Hi, everybody!
i created a imagem by kriging using geoR package. I imported points
from GRASS(zn, after converted to geodata zn_geo), the border
zn_border and a raster mask. Then i interpolated the points by
On Tue, Dec 2, 2008 at 7:42 PM, philozine [EMAIL PROTECTED] wrote:
Dear all:
This is one of those should be easy problems that I'm having great
difficulty solving. I have a vector containing ID codes, and I need to
generate a 3-column matrix that contains all possible combinations of three.
On Sun, Nov 30, 2008 at 7:57 PM, David Winsemius [EMAIL PROTECTED] wrote:
On Nov 30, 2008, at 10:23 PM, Dylan Beaudette wrote:
Hi, I am using the rcs() function in the Design library to model
non-linearity that is not well characterized by an otherwise
mechanistic function. I am able to make
On Mon, Dec 1, 2008 at 5:48 AM, Frank E Harrell Jr
[EMAIL PROTECTED] wrote:
David Winsemius wrote:
On Nov 30, 2008, at 10:23 PM, Dylan Beaudette wrote:
Hi, I am using the rcs() function in the Design library to model
non-linearity that is not well characterized by an otherwise
mechanistic
On Fri, Nov 28, 2008 at 10:55 AM, Phillip Porter [EMAIL PROTECTED] wrote:
Good Morning,
I am trying to get side by side boxplots of two groups on the same
variable. The last item under ?boxplot led me to some useful code.
I use boxwex to make the boxes narrower, at to shift them
?
Any thoughts or references would be greatly appreciated.
Thanks,
Dylan
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(your_data_matrix))
d.hc - as.hclust(d)
d.hc$labels - your_data_matrix$id
plot(d.hc)
Cheers,
Dylan
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University of California at Davis
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much,
Maura
On Thu, Oct 30, 2008 at 7:25 PM, Dylan Beaudette
[EMAIL PROTECTED]wrote:
On Thursday 30 October 2008, Maura E Monville wrote:
I have a pretty big similarity matrix (2870x2870). I will produce even
bigger ones soon.
I am using PAM to generate clusters.
The desired number
into this matter.
Good luck,
Dylan
Best wishes!
Viktoras Didziulis
P.S. just subscribed to this list, sorry if I'm missing something
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University of California at Davis
Laboratory
[EMAIL PROTECTED]
See spplot() and associated examples of how to use 'sp' class objects.
Here is one worked exampled with sp objects:
http://casoilresource.lawr.ucdavis.edu/drupal/node/442
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Dylan Beaudette
Soil Resource Laboratory
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University
like this:
require(Hmisc)
bwplot(supp ~ len | factor(dose), data=ToothGrowth, layout=c(3,1),
panel=panel.bpplot, datadensity=TRUE)
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Dylan Beaudette
Soil Resource Laboratory
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University of California at Davis
530.754.7341
On Wednesday 08 October 2008, Manuel Morales wrote:
On Wed, 2008-10-08 at 09:49 -0700, Dylan Beaudette wrote:
On Wednesday 08 October 2008, Manuel Morales wrote:
Another option is bargraph.CI or lineplot.CI from the package sciplot.
See http://mutualism.williams.edu/sciplot
On Sun, Sep 7, 2008 at 12:32 PM, Steve Murray [EMAIL PROTECTED] wrote:
Dear all,
I have a large dataset which I hope to reduce in size, to make it more
useable. I hope to do this by taking an average of each 60 x 60 blockof
values and forming a new data frame out of the averaged values.
II
regression?
Cheers,
Dylan
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PLEASE do
happen again):
http://tolstoy.newcastle.edu.au/R/help/05/06/5992.html
Cheers,
Dylan
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of Dylan Beaudette
Sent: Friday, August 29, 2008 1:44 PM
To: r-help@r-project.org
Cc: Mark Difford
Subject: Re: [R
], each=4),
f1=rep(letters[1:2], each=10), f2=rep(letters[10:19], each=2) )
# plot it:
dotplot(x.class ~ x | f1 + f2, data=d, scales=list(relation='free'))
Thanks,
Dylan
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Soil Resource Laboratory
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University of California at Davis
On Thursday 28 August 2008, Deepayan Sarkar wrote:
On Thu, Aug 28, 2008 at 1:21 PM, Dylan Beaudette
[EMAIL PROTECTED] wrote:
Hi,
Is there any way to suppress plotting of panels that don't actually
contain any information? I have tried using 'drop.unused.levels=TRUE',
but there doesn't
help in this matter,
Josip
?table
?xtabs
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, '[')
AB
8.686382 4.578703
Dylan
--
Dylan Beaudette
Soil Resource Laboratory
http://casoilresource.lawr.ucdavis.edu/
University of California at Davis
530.754.7341
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On Wed, Aug 20, 2008 at 7:48 AM, Josh B [EMAIL PROTECTED] wrote:
Hello,
My R skills are somewhere between novice and intermediary, and I am hoping
that some of you very helpful forum members, whom I've seen work your magic
on other peoples' problems/questions, can help me here.
I have a
2008/8/20 Josh B [EMAIL PROTECTED]:
Here is my underlying data file. Of course, please don't feel obliged to
spend any more time on this!
- Original Message
From: Dylan Beaudette [EMAIL PROTECTED]
To: Josh B [EMAIL PROTECTED]
Cc: r-help@r-project.org
Sent: Wednesday, August 20
)
{
# get level of 'gen' from list element
# make a filename, see ?paste
# write out a file for each
write.table(element_i, file=filename, row.names=FALSE, ...)
}
)
--
Dylan Beaudette
Soil Resource Laboratory
http://casoilresource.lawr.ucdavis.edu/
University of California at Davis
530.754.7341
-guide.html and provide commented, minimal,
self-contained, reproducible code.
--
Dylan Beaudette
Soil Resource Laboratory
http://casoilresource.lawr.ucdavis.edu/
University of California at Davis
530.754.7341
__
R-help@r-project.org mailing list
https
literature on these techniques and
LiDAR. None of these approaches are going to be feasible in R, when the
input dataset is much larger than the available RAM.
Cheers,
Dylan
-Messaggio originale-
Da: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Per
conto di Dylan Beaudette Inviato
and rotation components to your panel function. This
is the bit I'm not clear on but look at ordixyplot and panel.ordi for
inspiration.
Here is a relatively simple demonstration of creating a custom panel function:
http://casoilresource.lawr.ucdavis.edu/drupal/node/630
Cheers,
Dylan
--
Dylan
Hi, I have used the soil.texture() function from the plotrix package
many times and am very pleased that such a function exists in R. I
have a slightly different need this time, and need some pointers on
how to accomplish it. Instead of plotting single symbols on the
triangle, I would like to
implications of randomly sampling a point cloud for
variogram analysis-- someone smarter than I may be helpful.
Cheers,
Dylan
-Messaggio originale-
Da: Dylan Beaudette [mailto:[EMAIL PROTECTED]
Inviato: mercoledì 16 luglio 2008 12.45
A: r-help@r-project.org
Cc: Alessandro
Oggetto: Re
Hi,
I am curious about how to interpret the table produced by
anova(ols(...)), from the Design package. I have a multiple linear
regression model, with some interaction, defined by:
ols(formula = log(ksat * 60 * 60) ~ log(sar) * pol(activity,
3) + log(conc) * pol(sand, 3), data = sm.clean, x
to convert each probability into the most
likely '1' or '0' through rounding? The code example above will give you a
different answer every time you run it. Is that what you are looking for?
Just curious,
Dylan
--
Dylan Beaudette
Soil Resource Laboratory
http
On Wednesday 09 July 2008, Ben Bolker wrote:
Dylan Beaudette wrote:
| On Wednesday 09 July 2008, Ben Bolker wrote:
| ACroske Audy3272 at yahoo.com writes:
| I have a large matrix full of probabilities; I would like to convert
each
| probability to a 1 or a 0 using rbinom.
| How can I do
as long it is to scale. Thanks
how about:
# 40cm spacing
spacings - 0:13*40
# a square grid with 196 points
# sqrt(181) is not an integer, sorry!
g - expand.grid(x=spacings, y=spacings)
# check it out
plot(g, pch=3, cex=0.5)
--
Dylan Beaudette
Soil Resource Laboratory
http
On Wednesday 11 June 2008, Jim Lemon wrote:
Jim Lemon wrote:
Dylan Beaudette wrote:
Hi,
Is anyone on the list familiar with an R implementation of Piper
Diagrams?
Example:
http://faculty.uml.edu/nelson_eby/89.315/IMAGES/Figure%209-78.jpg
I am thinking that two calls
sure about the
final layout, or a nice generalized version for something like lattice.
Cheers,
Dylan
--
Dylan Beaudette
Soil Resource Laboratory
http://casoilresource.lawr.ucdavis.edu/
University of California at Davis
530.754.7341
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