On Sat, 13 Dec 2008, Stas Kolenikov wrote:
Those commands provide point estimates, standard errors and confidence
intervals based on linear combination of parameters or
linearization/delta-method, respectively. R's contrasts appear to be
limited to a single factor and combinations that sum up
Thanks for all of your help, David, I finally got it. Here's some generic
syntax in case it helps someone else down the road (using a 4-way ANOVA
with repeated measures on all factors):
# LOAD DATA
data - read.table(PATH\\datafile.txt)
# RUN THE ANOVA
data.aov - aov(y ~
On Fri, 2008-12-12 at 12:51 +0100, mau...@alice.it wrote:
The following error occurs every now and then by calling a function of wmTSA
package:
Error in `row.names-.data.frame`(`*tmp*`, value = c(1, 0)) :
invalid 'row.names' length
I would greatly appreciate some guidelines about how
Marcus Vinicius mvinic at gmail.com writes:
Is there anyone that may send me articles, e-books or scripts (R/Matlab)
about Hidden Markov Models?
You get a lot by searching R-project with the term Hidden Markov, including a
package with that name.
Dieter
Sachi Ito wrote:
Using R lme function, I found that both fixed and random effects of
variable
A on variable B are significant.
It would be good if you could tell us how you found out that the random
effects were significant. I must have missed something here.
Sachi Ito wrote:
I have two assignment problems...
I have written this small code for regression with two regressors .
n - 50
x1 - runif(n,1,10)
x2 - x1 + rnorm(n,0,0.5)
plot(x1,x2) # x1 and x2 strongly correlated
cor(x1,x2)
y - 3 + 0.5*x1 + 1.1*x2 + rnorm(n,0,2)
intact.lm - lm(y ~ x1 + x2)
summary(intact.lm)
Greg Snow wrote:
Controlling the pointer is going to be very different from perl since the R
functions are vectorized rather than focusing on a single string.
Here is one approach that will give all the matches and lengths (for the
original problem at least):
mystr - paste(rep(1122,
Hello all,
I`m a computer science student from Frankfurt/main (germany).
Our student team (10 students) are working on a R/Interface project (Java
and R) and we have a problem with R and JRI.
We are working on 10 computers with Windows XP SP2, R 2.8.0, jdk1.6.0_11
and the same classpath
Hi.
You don't need to download the whole of the output database table to
look for an already generated answer. You can write a SQL query to do
that instead. ie. give me any rows with these parameters... Get the
database to do the work - it is what they are designed to do.
So the procedure is:
[sorry for the repost. I forgot to switch off formatting last time]
I have two assignment problems...
I have written this small code for regression with two regressors .
n - 50
x1 - runif(n,1,10)
x2 - x1 + rnorm(n,0,0.5)
plot(x1,x2) # x1 and x2 strongly correlated
cor(x1,x2)
y - 3 + 0.5*x1 +
Hi,
I am new to R and I'm looking to perform some method comparison
analysis and would be grateful for some help regarding package
installation.
There is a package 'MethComp' that I want to use
(http://staff.pubhealth.ku.dk/~bxc/MethComp/Courses/Sthm.2007/.)
Unfortunately I am unable to install
On 14/12/2008 9:40 AM, Tanmoy Talukdar wrote:
[sorry for the repost. I forgot to switch off formatting last time]
I have two assignment problems...
I have written this small code for regression with two regressors .
n - 50
x1 - runif(n,1,10)
x2 - x1 + rnorm(n,0,0.5)
plot(x1,x2) # x1 and x2
On Dec 14, 2008, at 9:40 AM, Tanmoy Talukdar wrote:
[sorry for the repost. I forgot to switch off formatting last time]
I have two assignment problems...
I have written this small code for regression with two regressors .
For replication purposes, it might be good to set a seed for the
Eamonn O'Brien wrote:
Hi,
I am new to R and I'm looking to perform some method comparison
analysis and would be grateful for some help regarding package
installation.
There is a package 'MethComp' that I want to use
(http://staff.pubhealth.ku.dk/~bxc/MethComp/Courses/Sthm.2007/.)
Why do you think that running lm() twice on those two models is going
to help me? They are identical models and hence we get identical
results.The second question is now alright. I had some
misunderstanding about it.
Please tell me if you can find any downside in summary (). I can't find any.
Why do you think that running lm() twice on those two models is going
to help me? They are identical models and hence we get identical
results.The second question is now alright. I had some
misunderstanding about it.
Please tell me if you can find any downside in summary (). I can't find any.
Thanks Ben
Successfully installed.
On Sun, Dec 14, 2008 at 2:59 PM, Ben Bolker bol...@ufl.edu wrote:
Eamonn O'Brien wrote:
Hi,
I am new to R and I'm looking to perform some method comparison
analysis and would be grateful for some help regarding package
installation.
There is a package
Dear Stas and David,
A couple of people have mentioned linear.hypothesis() in the car package,
which has methods for several kinds of models and a default method that will
work for any model that responds to coef() and vcov(). The delta.method()
function in the alr3 package is similarly general.
running anova() on intact12 and intact 21 gives two different results!!
anova(intact12)
Analysis of Variance Table
Response: y
Df Sum Sq Mean Sq F valuePr(F)
x1 1 663.18 663.18 203.065 2.2e-16 ***
x2 1 35.21 35.21 10.781 0.001940 **
Residuals 47 153.49
I'm getting an error message when using the new version of sqldf,
library(sqldf)
str(kdv)
'data.frame': 71 obs. of 3 variables:
$ dpss: num 0.117 0.144 0.164 0.166 0.165 ...
$ npdp: num 0.1264 0.0325 0.0109 0.0033 0.0055 ...
$ logk: num 1.12 1.29 1.41 1.41 1.42 ...
test=sqldf(select
anyone please explain why this happens.. I know this happens when x1
and x2 has different sizes. but here x1 and x2 have same dimension.
On Sun, Dec 14, 2008 at 9:26 PM, Tanmoy Talukdar
tanmoy.taluk...@gmail.com wrote:
running anova() on intact12 and intact 21 gives two different results!!
anyone please explain why this happens.. I know this happens when x1
and x2 has different sizes. but here x1 and x2 have same dimension.
Given that this is a homework problem, I think the onus is on you to
figure this out, not on us to help you. In almost all classes, you
are expected to work
I think now I have got some understanding of the things.
y ~ x1+x2 first adds x1 to the model and then adds x2 .
But y~x2+x1 adds x2 first, so the value we get are different.
please correct me if i am wrong.
On Sun, Dec 14, 2008 at 9:48 PM, hadley wickham h.wick...@gmail.com wrote:
anyone
Tanmoy Talukdar wrote:
I think now I have got some understanding of the things.
y ~ x1+x2 first adds x1 to the model and then adds x2 .
But y~x2+x1 adds x2 first, so the value we get are different.
please correct me if i am wrong.
You are not wrong. However, you're wearing out
I can't reproduce this.
Make sure you are using the same version of sqldf as shown
below, try it in a fresh session and if you still get an error provide the
data in reproducible form using dput, i.e. dput(kdv)
kdv - data.frame(
+ dpss = c(0.117, 0.144, 0.164, 0.166, 0.165),
+ npdp =
Hello,
in a Rnw-file I have this used stuff to try out tex-results...
==
=
texme - function() cat( {\\bf Hallo, das ist voll fett!}\n )
@
results=verbatim=
texme()
@
==
I used this command: R CMD Sweave example.Rnw
and got this error:
it should work without quotes; i.e.,
results = verbatim
hth,
Matthias
Oliver Bandel wrote:
Hello,
in a Rnw-file I have this used stuff to try out tex-results...
==
=
texme - function() cat( {\\bf Hallo, das ist voll fett!}\n )
@
results=verbatim=
texme()
@
Hello, I am relatively new to using R. I am using R version 2.8.0. I have a
program that downloads stock data from Yahoo! Finance and stores it to a
text file on my hard drive. The text file contains the date, opening price,
high price, low price, closing price, volume and adjusted price
Gabor Grothendieck wrote:
I can't reproduce this.
Make sure you are using the same version of sqldf as shown
below, try it in a fresh session and if you still get an error provide the
data in reproducible form using dput, i.e. dput(kdv)
Hi Gabor
Please find attached the kdv.dat
Hello Matthias,
Zitat von Matthias Kohl matthias.k...@stamats.de:
it should work without quotes; i.e.,
results = verbatim
hth,
[...]
Yes, this helps!
Thanks a lot! :)
Ciao,
Oliver
__
R-help@r-project.org mailing list
On 14/12/2008 12:38 PM, doloop wrote:
Hello, I am relatively new to using R. I am using R version 2.8.0. I have a
program that downloads stock data from Yahoo! Finance and stores it to a
text file on my hard drive. The text file contains the date, opening price,
high price, low price, closing
On Sun, 14 Dec 2008, John Fox wrote:
Dear Stas and David,
A couple of people have mentioned linear.hypothesis() in the car package,
which has methods for several kinds of models and a default method that will
work for any model that responds to coef() and vcov(). The delta.method()
function in
Also you might want to use read.zoo from the zoo package
which will read the file in and will convert the dates at the same time
into a zoo object. Something like:
library(zoo)
z - read.zoo(myfile.csv, header = TRUE, sep = ,, format = %m/%d/%Y)
Or rather than creating files you may wish to use
Hello,
For my master thesis I conducted a conjoint analysis. Using the
mlogit-package of Yves Croissant I should be able to analyse my choice
data.
I read the whole program of mlogit, but I do not understand how my
coefficients must be interpreted.
Are they a result of P(Y=i) or are they
Gabor Grothendieck wrote:
Hi, I still can't reproduce this even with your entire data set.
Note that your output indicates it was not done in a fresh session
as your old session was loaded first:
[Previously saved workspace restored]
Please try it again in a fresh session by
I have found the following helpful:
http://www.ai.mit.edu/courses/6.867-f02/papers/rabiner.pdf
http://vision.ai.uiuc.edu/dugad/ and click on HMM Tutorial.
Hope they help.
--
Grant D. Schultz
Senior Software Engineer
ScriptPro
5828 Reeds Road
Mission, KS 66202
Date: Sat, 13 Dec 2008 22:15:13
ggplot2
ggplot2 is a plotting system for R, based on the grammar of graphics,
which tries to take the good parts of base and lattice graphics and
avoid bad parts. It takes care of many of the fiddly details
that make plotting a hassle
On Sun, Dec 14, 2008 at 2:53 PM, martin trobec
trobecgeologygr...@shaw.ca wrote:
Gabor Grothendieck wrote:
Hi, I still can't reproduce this even with your entire data set.
Note that your output indicates it was not done in a fresh session
as your old session was loaded first:
Ben,
You were quite correct to indicate that Tanmoy should not use the listserver to
get answers to his class assignments. Never the less, I do have some sympathy
for him. The help pages for the R functions summary, anova, drop1, do not
discuss the critically important issue addressed by
Ista Zahn schreef:
I'm not sure this is the appropriate forum--please let me know if I
should post somewhere else.
I have Rpad version 1.3.0 set up on my webserver. It works, except
that graphics are not displayed. They are created (i.e., when I run
the example I see that graphics files are
Although not as good as putting it in the help pages there is
an R wiki that anyone can add to:
http://wiki.r-project.org
On Sun, Dec 14, 2008 at 5:04 PM, John Sorkin
jsor...@grecc.umaryland.edu wrote:
Ben,
You were quite correct to indicate that Tanmoy should not use the listserver
to get
I am trying to complex demodulate a time-series data
(eg geomagnetic field time series) at different frequencies.
I wonder whether there is an R package implementing the complex
demodulation method.
Any information about this would be greatly appreciated.
Regards,
Augusto
Thanks so much for responding. I should have replied to myself and
reported my solution to the problem. For some reason Rpad was looking
for the image files in Rpad/Rpad/server/ddxx when it should have
been looking in Rpad/server/ddxx. I fixed it just by soft linking
the Rpad into itself
Colleagues,
I am interesting in opening a PDF document via the command line from
both Windows, OS X, and Linux ( R version 2.8.0). I found a command
openPDF in Biobase. However, I would rather execute the command
myself. For example, in OS X:
system(open filename.pdf)
is
I realize that the attached tiff file demonstrating that the Rpad
server in question *does* display graphical output (the lognormal
density and a green Kiwi volcano that the default code on teh server
input boxes) will be scrubbed by the mail server, but it should end
up intact at Zahn's
i guess it depends on what you have installed on your linux OS but
xpdf works for me. i use fedora.
On Sun, Dec 14, 2008 at 7:18 PM, Dennis Fisher wrote:
Colleagues,
I am interesting in opening a PDF document via the command line from
both Windows, OS X, and Linux ( R version 2.8.0).
On Sun, Dec 14, 2008 at 6:18 PM, Dennis Fisher fis...@plessthan.com wrote:
Colleagues,
I am interesting in opening a PDF document via the command line from both
Windows, OS X, and Linux ( R version 2.8.0). I found a command openPDF in
Biobase. However, I would rather execute the command
Hi R helpers,
If I have a dataset looks like:
ID record
120
. 30
. 25
2 26
. 15
3 21
4.
And I want it becomes
ID record
120
130
125
2 26
215
3 21
4.
hi: change your dots to NAs and then use na.locf in the zoo package. i
didn't test it but i think that should work.
DF$ID[DF$ID == .]-NA
DF$ID-na.locf(DF$ID)
On Sun, Dec 14, 2008 at 8:56 PM, Zhixin Liu wrote:
Hi R helpers,
If I have a dataset looks like:
ID record 120
.
if the records are in the file dupIDs.txt, then when you read them in,
the IDs become factors. Coercing them to numeric gets them to assign
a unique number to each factor.
So, you could try the following:
dupIDs - read.table(dupIDs.txt, header = T)
dupIDs$ID2 - cummax(as.numeric(dupIDs$ID)-1)
andrew has a point which makes my solution wrong. you'd have to change
the factors to numerics and I'm not sure what
would happen when you did that. if you want to send a sample file of
your data, that would be best but andrew's suggestion may
work right off the bat.
On Sun, Dec 14, 2008 at
Hai my friend,
Is there any have example data, besides in help pages for package splines
,for i am using in b-spline basis for polynomial spline?
please share it to me.
I need data for make me understanding it in R language environment.
thank u.
zenki
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I'm trying to calculate Pearson correlation coefficients for a large
matrix of size 18563 x 18563. The following function takes about XX
minutes to complete, and I'd like to do this calculation about 15 times
and so speed is some what of an issue.
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