Hey, folk.
I am trying to get many figures by using the function xyplot in the library
lattice. I tried to using the loop to finish it quickly. But I cannot open
the saved file after I run the program. But if I use the function plot to get
other simply figures, it can work. So I want to ask
Hi
Not that long ago there was this
See
http://tolstoy.newcastle.edu.au/R/e10/help/10/04/0003.html
Duncan
Duncan Mackay
Department of Agronomy and Soil Science
University of New England
ARMIDALE NSW 2351
Email home: mac...@northnet.com.au
At 16:52 4/04/2010, you wrote:
Hey, folk.
I am
Hi Jim,
Another thing I am wondering is - even if you have a metric for comparing
two images (which I admit I didn't come across and I don't know how to
approach), would that be enough to decide if two images are close or not?
My guess is that no - one would also need a database of other
Thanks David, I never thought of using merge for this.
I usually used the cast command from the reshape package for this type
of task.
Cheers,
Tal
Contact
Details:---
Contact me: tal.gal...@gmail.com | 972-52-7275845
Read
Dear R'ers,
When I used S-plus i wrote a small program for a Mantel-Haenszel test
for trend (I think it worked). Unfortunately I can't get it working in
R.
It appears as if my use of 'el' is the problem but I can't sort it out.
Error in apply(array, c(, 2, 3), function(el) el * 1:s) :
Dear all,
I am plotting daily data from 1950 to 2000 and I wish to have the time in
X-axis to indicate years and NOT days (i.e 1950 1951,..,2000 instead of
1,2, 3, ..).
How do I set the x-axis to show years instead of days.
ZABLONE OWITI
GRADUATE STUDENT
Nanjing University of
Hello,
How can I generate randomly in R a sample of skewed data with first quartile is
540 and third quartile is 715.
I need a sample of 100 cases.
Thank you for your help
Jan
[[alternative HTML version deleted]]
__
On 04/04/2010 08:52 PM, zow...@ncst.go.ke wrote:
Dear all,
I am plotting daily data from 1950 to 2000 and I wish to have the time in
X-axis to indicate years and NOT days (i.e 1950 1951,..,2000 instead of
1,2, 3, ..).
How do I set the x-axis to show years instead of days.
Hi Zablone,
On Sun, 2010-04-04 at 04:03 -0700, kende jan wrote:
Hello,
How can I generate randomly in R a sample of skewed data with first quartile
is 540 and third quartile is 715.
I need a sample of 100 cases.
Thank you for your help
Jan
Hi Jan,
Sorry my direct approach but why you don't
Thanks Jim
I made a matching algorithm with R, but I get good results for two
images of the same person, so I use a cross correlation function to
directly compare images. Do you know of normalized cross-correlation
function with R?.
Juan
Jim Lemon escribió:
On 04/04/2010 05:18 AM, Juan
On Apr 4, 2010, at 6:51 AM, Fredrik Lundgren wrote:
Dear R'ers,
When I used S-plus i wrote a small program for a Mantel-Haenszel test
for trend (I think it worked). Unfortunately I can't get it working in
R.
It appears as if my use of 'el' is the problem but I can't sort it
out.
Error in
On Apr 4, 2010, at 7:03 AM, kende jan wrote:
Hello,
How can I generate randomly in R a sample of skewed data with first
quartile is 540 and third quartile is 715.
I need a sample of 100 cases.
?rlnorm
--
David Winsemius, MD
West Hartford, CT
Hi Jian,
Take a look at
http://CRAN.R-project.org/doc/FAQ/R-FAQ.html#Why-do-lattice_002ftrellis-graphics-not-work_003f
http://CRAN.R-project.org/doc/FAQ/R-FAQ.html#Why-do-lattice_002ftrellis-graphics-not-work_003f
HTH,
Jorge
On Sun, Apr 4, 2010 at 2:52 AM, Jian Zhang wrote:
Hey, folk.
I
That is the problem
c(,2,3)
Error: argument is missing, with no default
On 4/4/2010 12:51 PM, Fredrik Lundgren wrote:
Dear R'ers,
When I used S-plus i wrote a small program for a Mantel-Haenszel test
for trend (I think it worked). Unfortunately I can't get it working in
R.
It appears
Hello Experts,
I'm new with R and having troubles doing my graduation project.I have 20
subfolders including almost 2 txt files.What i need to do is to create a
dtm and add a column to it showing a class information of the txt files.
My directory source is like
This is in response to a query (copied below) from Hakan Demirtas.
Since I did not keep the original, I am taking it from the archives.
Therefore this may initiate a new thread ... :-(
There has been one response so far, which gave no help.
On Fri, Apr 2, 2010 at 7:25 PM, HAKAN DEMIRTAS
On 02.04.2010 23:37, JRsalvelinus wrote:
Hi
I am doing PCA using prcomp and when I try to get predicted values for the
different PC's the number of data points is always one less than in my
original data set. This is a problem because it prevents me from doing any
post-hoc analysis due to
Hi Fir,
you can alternatively use local regression, implemented in the package locfit,
which can also estimate derivatives:
library(locfit)
attach(cars)
# main fit
fit - locfit( dist ~ speed )
# fit 1st derivative
fitd - locfit( dist ~ speed , deriv =1)
# plots...
plot(speed, dist )
lines(fit)
Is this close enough?
x - runif(10, 452.5, 802.5)
quantile(x)
0% 25% 50% 75% 100%
452.5014 539.2777 627.4728 715.2990 802.4815
y - sample(x, 100)
On Sun, Apr 4, 2010 at 7:03 AM, kende jan kende...@yahoo.fr wrote:
Hello,
How can I generate randomly in R a
On Sun, 4 Apr 2010, Tal Galili wrote:
Hi Jim,
Another thing I am wondering is - even if you have a metric for comparing
two images (which I admit I didn't come across and I don't know how to
approach), would that be enough to decide if two images are close or not?
My guess is that no - one
Enlightening and entertaining - Thanks Charles :)
Contact
Details:---
Contact me: tal.gal...@gmail.com | 972-52-7275845
Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) |
www.r-statistics.com (English)
I have a data matrix that contains site data for paired infested and control
plots. For example:
ab ac ad af ag ah
1 .024 x x x x x
2 .9 x x x x x
3 1.5x x x x x
4 2.3x x x x x
5 1.0x x x x x
1c.75 x
Here is the code I have used to this point:
trba-read.table(c:\\Rdata\\NMDS\\trba.txt,header=T,row.names=1)
attach(trba)
trba
bat-metaMDS(trba)
plot(bat, display = c(sites))
Given this simple code and my previous example of the matrix, how would I go
about splitting the data out for the
I don't know if I understand exactly what you would like to be able to
do. But this is how I would go about it if I understand you
correctly. I would make a data frame out of the points and the code a
dummy variable for the control sites in another column. The I would
use ggplot2 to use the
Hi R fans,
As a newbie following the five-hour rule (after hitting my head against
the wall for five hours, post to this list), I am appealing for some
help understanding geom_rect() in ggplot2.
What I want to do is very simple. I want to generate a plot of
rectangles. Each one represents a
On Apr 4, 2010, at 3:50 PM, Trey wrote:
I have a data matrix that contains site data for paired infested and
control
plots. For example:
ab ac ad af ag ah
1 .024 x x x x x
2 .9 x x x x x
3 1.5x x x x x
4 2.3x x x x
In essence, here is what I'm after: When I plot the NMDS ordination, I get a
cloud of points. To make sense of this cloud I need to differentiate the
cloud into control and infested sites to see if there is any meaningful
separation. The first 5 plots are infested, and the second 5 plots are
On Apr 4, 2010, at 4:18 PM, Marshall Feldman wrote:
Hi R fans,
As a newbie following the five-hour rule (after hitting my head
against
the wall for five hours, post to this list), I am appealing for some
help understanding geom_rect() in ggplot2.
What I want to do is very simple. I want
Dear R users,
I'd like to invite interested members to join the LinkedIn group for
R-Python (RPy).
http://www.linkedin.com/e/vgh/2925347/eml-grp-sub/
This group seeks to bring like minded users together, for sharing
knowledge\resources to encourage the use of RPy.
I apologize if this
Here is one way to parse the data. I just took the lines you had in the
email to show how to do it. You can do the same thing on your complete
object:
x - readLines(textConnection(C:\\Program
Files\\R\\20news18828/talk.politics.guns/54215
+ C:\\Program
Marsh,
Your rectangles won't be very tall with ymax=ymin!
(I hope that wasn't the cause of the 5 hours.)
-Peter Ehlers
On 2010-04-04 14:18, Marshall Feldman wrote:
Hi R fans,
As a newbie following the five-hour rule (after hitting my head against
the wall for five hours, post to this list),
On Apr 4, 2010, at 4:18 PM, Marshall Feldman wrote:
Hi R fans,
As a newbie following the five-hour rule (after hitting my head
against
the wall for five hours, post to this list), I am appealing for some
help understanding geom_rect() in ggplot2.
What I want to do is very simple. I want
glmnet_1.2 has been uploaded to CRAN.
This is a major upgrade, with the following additional features:
* poisson family, with dense or sparse x
* Cox proportional hazards family, for dense x
* wide range of cross-validation features. All models have several criteria for
cross-validation.
Dear R community,
I have data on betastandard error (for the main effect of variable x),
stratified by sex for my dataset. I wish to calculate the sex-interaction
effect (as betase) from these two stratified datasets. Is there a package
to do this? If not, any advice how to do it manually?
Hi Georg,
Instead of stratifying by sex, use all your data together to fit one model that
controls for sex. This gives you more power because of the increased sample
size. Also, this way you can add an interaction term, which is what you are
looking for. The gender variable should be defined
On 04-Apr-10 22:01:08, Georg Ehret wrote:
Dear R community,
I have data on betastandard error (for the main effect of
variable x), stratified by sex for my dataset. I wish to
calculate the sex-interaction effect (as betase) from these
two stratified datasets. Is there a package to do this?
Hi,
I just noticed that by inspecting the matrix term that no all stopwords are
removed, does someone know how to fix that?
library(tm)
data(crude)
d-tm_map(crude, removeWords, stopwords(language='english'))
dt-DocumentTermMatrix(d,control=list(minWordLength=3, minDocFreq=2))
inspect(
Hi Trey,
On Sun, Apr 4, 2010 at 4:28 PM, Trey trey3...@hotmail.com wrote:
In essence, here is what I'm after: When I plot the NMDS ordination, I get a
cloud of points. To make sense of this cloud I need to differentiate the
cloud into control and infested sites to see if there is any
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