(Ted Harding) wrote:
There is one MAJOR issue you will have to watch out for, far more
likely to turn up than calls like system().
This is that, if you want to have two or more plotting windows
in use at the same time, while the first one is autoatically
opened by the plot() command, you
Dear list,
I am using AsciiGridPredict from the yaImpute package to make a spatial
prediction of a randomForest model. When I call AsciiGirdPredict I am getting
an error message, that I do not understand:
AsciiGridPredict(st.rf.fit, xlist, ylist, xtypes=NULL, rows=NULL,
myPredFunc=NULL)
Hello
Hello i have this DF:
c
CHR_NR
diffdato1 x
1022 10395 1994-05-3011.0 39 0 1994 1 1
0 024 11 24
29100 11377
that's interesting, marie.
on his webpage [1], david s. stoffer provides concrete arguments for why
the r arima function in the stats package should be considered to
produce misleading, if not just wrong results.
david (cc:ed for reference) reported the issue in october 2005, bug
report #8231
Ssophia wrote:
Hi, there
Below is my code to one Homework question. I couldn't come up with the reasonable answer.
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
could you please help me to figure out what is
Christophe Genolini wrote:
Hi all,
I am using savePlot in a loop for saving several graph but I get some
graph in 553x552, some other in 1920x1119. How comes ?
My data are almost all the same (same label, same xlim / ylim, almost
same data. Only the color changes). I save them in bmp.
T.D.Rudolph wrote:
I conducted a frequency averaging procedure which left me with the data frame
below (Bin is an artifact of a cut() procedure and can be either
as.character or as.factor):
Bin Freq
1 (-180,-160] 7.904032
2 (-160,-140] 5.547901
3 (-140,-120] 4.522542
4
Jeff Xu wrote:
I am confused when trying the function survfit.
my question is: what does the survival curve given by plot.survfit mean?
is it the survival curve with different covariates at different points?
or just the baseline survival curve?
for example, I run the following code and get the
Uwe Ligges a écrit :
Christophe Genolini wrote:
Hi all,
I am using savePlot in a loop for saving several graph but I get some
graph in 553x552, some other in 1920x1119. How comes ?
My data are almost all the same (same label, same xlim / ylim, almost
same data. Only the color changes). I
On Wed, 25 Feb 2009, Rob Denniker wrote:
Dear list,
I have an irregular time series saved and exported as a zoo object. What
is the trick to force zoo to ignore the missing dates when reading it
back in? Thanks.
Almost certainly there are no NAs in your index (although we can't say for
Thank you very much for the response!
The plot(1,1) helped to resolve the first problem.
But I am still getting a second error message when running demo(ROCR)
Error in as.double(y) :
cannot coerce type 'S4' to vector of type 'double'
It seems it has something to do with compatibility of S4
Hello,
I'm trying to fit a generalized linear mixed model to estimate diabetes
prevalence at US county level. To do this I'm using the glmer() function in
package lme4. I can fit relatively simple models (i.e. few covariates) but when
expanding the number of covariates I usually encounter the
Responding to question 1... it seems the demo assumes you already have a
plot window open.
library(ROCR)
plot(1,1)
demo(ROCR)
seems to work.
For question 2, my environment produces the expected results... plot doesn't
generate an error:
* R 2.8.1 GUI 1.27 Tiger build 32-bit (5301)
*
Christophe Genolini wrote:
Uwe Ligges a écrit :
Christophe Genolini wrote:
Hi all,
I am using savePlot in a loop for saving several graph but I get some
graph in 553x552, some other in 1920x1119. How comes ?
My data are almost all the same (same label, same xlim / ylim, almost
same
Dear all,
Imagine that you have a small LAN with two computers. I would like to run R on
both, and possible to run computations from one computer to the other one. TCP
IP protocole would be preferable. Which package would you use for that? I would
be very glad if you could also provide me with
Uwe Ligges a écrit :
Christophe Genolini wrote:
Uwe Ligges a écrit :
Christophe Genolini wrote:
Hi all,
I am using savePlot in a loop for saving several graph but I get
some graph in 553x552, some other in 1920x1119. How comes ?
My data are almost all the same (same label, same xlim /
Hi,
I got this problem once, and Prof. Ripley kindly added an example in
the help page of ?cut,
aaa - c(1,2,3,4,5,2,3,4,5,6,7)
## one way to extract the breakpoints
labs - levels(cut(aaa, 3))
cbind(lower = as.numeric( sub(\\((.+),.*, \\1, labs) ),
upper = as.numeric(
Ingrid Tohver wrote:
I would like to run a t-test within a by group function. My
dataset, error, is organized as the following (I have 133 Sites):
Site week Dataset Region lat_map long_map mean_tsim diff20 diff40
diff80
ALFI 15 USACE UC 48.15625 -117.0938 8.87 1.34
Dear Tanja,
R-Sig-Mixed-models is a better list for questions about lme4 and nlme.
There you are much more likely to get an answer from the mixed models
specialists.
First of all I would recommend you to write the random effect as
(1|fips) instead of (1|as.factor(diab$fips)). You will run into
joe1985 wrote:
Hello
Hello i have this DF:
c
CHR_NR
diffdato1 x
1022 10395 1994-05-3011.0 39 0 1994 1 1
0 024 11
Uwe Ligges wrote:
Ingrid Tohver wrote:
I would like to run a t-test within a by group function. My
dataset, error, is organized as the following (I have 133 Sites):
Site week Dataset Region lat_map long_map mean_tsim diff20 diff40
diff80
ALFI 15 USACE UC 48.15625 -117.0938
Thanks for the hints! They seem to help me.
Axel
Héctor Villalobos schrieb:
Perhaps this may help you.
Regards
data(iris3)
ir - rbind(iris3[ , , 1], iris3[ , , 2], iris3[ , , 3])
ir.pca - princomp(ir)
biplot(ir.pca)
# Rehacer Biplot
# Calcular Factor para re-escalar scores y
Hi,
I just came across another question concerning predict.coxph
Terry Therneau states in A Package for Survival Analysis in S that
term - predict(fit, type=terms)
yields predicted values for the individual components of the linear
predictor X*beta
My coxmodel looks like:
coef
See rollapply in zoo or filter or embed in the core of R.
On Thu, Feb 26, 2009 at 7:07 AM, mau...@alice.it wrote:
I am looking for some help at removing low-frequency components from a
signal, through Moving Average on a sliding window.
I understand thiis is a smoothing procedure that I
Dear list,
Using ggplot2 I could produce both boxplot and points in the same plot but
instead of points I would like to label the different
subjects with different colors or their idnumbers. Is there away to do it? Also
how can I put three plots on the same graph with ggplot2?
mfrow=c(3,1)
Dear Tom,
I think you better switch to ggplot() instead of qplot().
library(ggplot2)
dat - expand.grid(id = 1:10, time = 1:3, group = 1:3)
dat$Freq - rnorm(nrow(dat), mean = dat$id * dat$time)
ggplot(dat, aes(x = factor(time), y = Freq)) + geom_boxplot() +
geom_jitter(aes(colour = factor(id)))
Dear R Experts,
I am running a cluter analysis using kmeans and have come across an error to
which I am unable to find a solution. First, let me describe the problem:
THE R CODE IS:
--
# NRM is a 100 x 100 numerical matrix
infile = 't:\\NRM\\NRM'
groups = 7
Do you know about any good reference that discusses kappa for classification
and maybe CI for kappa???
I don't, but googling on kappa and confusion matrix etc should get you
there. Kappa works very well when the true classes are skewed. For
example, if 10% of you samples are class A and 90%
I saw Gabor's reply but have a clarification to request. You say you
want to remove low frequency components but then you request smoothing
functions. The term smoothing implies removal of high-frequency
components of a series.
If smoothing really is your goal then additional R resource
One of my colleagues has written a technical report on how to do this, but I
have not yet implemented it in the survival package.
Terry Therneau
http://mayoresearch.mayo.edu/mayo/research/biostat/techreports.cfm
#80
Concordance for Survival Time Data: Fixed and
You are mostly correct.
Because of the censoring issue, there is no good estimate of the mean survival
time. The survival curve either does not go to zero, or gets very noisy near
the right hand tail (large standard error); a smooth parametric estimate is
what
is really needed to deal with
For a fitted Cox model, one can either produce the predicted survival curve
for
a particular hypothetical subject (survfit), or the predicted curve for a
particular cohort of subjects (survexp). See chapter 10 of Therneau and
Grambsch for a long discussion of the differences between these,
On 26 Feb 2009, at 14:14, Max Kuhn wrote:
Do you know about any good reference that discusses kappa for
classification and maybe CI for kappa???
You might also want to take a look at this survey article on kappa and
its alternatives:
Artstein, Ron and Poesio, Massimo (2008). Survey
plot(survfit(fit)) should plot the survival-function for x=0 or
equivalently beta'=0. This curve is independent of any covariates.
This is not correct. It plots the curve for a hypothetical subject with x=
mean of each covariate.
This is NOT the average survival of the data set.
I apologize for my messy post which stems from my own confusion ... and
depression as well. In fact I though I was done with a big chunk of a project
and to my dismay I found out there is more to do.
I am trying to adapt an algorithm, based on advanced wavelet analysis, to my
respiration
R friends,
In a matrix of 1s and 0s, I'm getting a singularity error. Any helpful ideas?
lm(formula = activity ~ metaF + metaCl + metaBr + metaI + metaMe +
paraF + paraCl + paraBr + paraI + paraMe)
Residuals:
Min 1Q Median 3QMax
-4.573e-01 -7.884e-02
On 26-Feb-09 13:54:51, David Winsemius wrote:
I saw Gabor's reply but have a clarification to request. You say you
want to remove low frequency components but then you request smoothing
functions. The term smoothing implies removal of high-frequency
components of a series.
If you produce
I wrote a little code using Fourier filtering if you would like to
take a look at this:
library(StreamMetabolism)
library(mFilter)
x - read.production(file.choose())
#contiguous.zoo(data.frame(x[,RM202DO.Conc], coredata(x[,RM202DO.Conc])))
#contiguous.zoo(data.frame(x[,RM61DO.Conc],
On 26-Feb-09 12:58:49, Bob Gotwals wrote:
R friends,
In a matrix of 1s and 0s, I'm getting a singularity error. Any helpful
ideas?
From the degress of freedom in your output, it seems you are fitting
10 binary variables to a total of 23 observations. In such circumstances,
it is not
On Feb 26, 2009, at 9:54 AM, (Ted Harding) wrote:
On 26-Feb-09 13:54:51, David Winsemius wrote:
I saw Gabor's reply but have a clarification to request. You say you
want to remove low frequency components but then you request
smoothing
functions. The term smoothing implies removal of
It looks like your data has not enough information to estimate the
parameter for metaCl. Maybe because metaCL is identical to one of the
other variables or a constant.
HTH,
Thierry
ir. Thierry Onkelinx
Instituut voor
Dear R users,
I am trying to draw a network using igraph package. I intend to place the
hub nodes (the ones with the relatively more connection with other nodes) in
the center of the graph. Also, the graph need to be in the fashion that the
higher the correlation between two nodes is , the
I saw Ted's reply and it is certainly sensible. I would wonder whether
to model ought to be recast so that the scientific question is more
clear? You are obviously studying the effect of different
substitutions (F, Cl, Br, I, Me) and different positions around an
aromatic ring (meta,
Shukai,
the force based layout algorithms (layout.drl,
layout.fruchterman.reingold, layout.graphopt, layout.kamada.kawai) are
likely to do this; although they are not explicitly required to place
hubs in the center, usually they do.
I am not sure what is the correlation between two nodes. You
Corrado,
Package bigmemory has undergone a major re-engineering and will be available
soon (available now in Beta version upon request). The version
currently on CRAN
is probably of limited use unless you're in Linux.
bigmemory may be useful to you for data management, at the very least, where
Thanks Gabor's fast reply.
In my research, every node has it's own vector of scores. So I can compute
correlation between every pair of nodes. I used the width and color of the
edge for this purpose. But visualizing the correlations by distance may be
clearer.
Best,
Shukai
Gábor Csárdi-2
Shukai,
layout.drl supports edge weights, so you could try that. An
alternative is doing MDS, see ?cmdscale and maybe help.search(MDS).
But both these methods are approximate, obviously, most often you
cannot embed an n-dimensional (n2) graph into the 2-dimensional
plane and keep all the
Hi. I'm trying to run the elliptic package on my computer (windows
platform, version 2.7.2). I downloaded the elliptic package zip file
from
http://lib.stat.cmu.edu/R/CRAN/
and installed it, but it says that it needs the emulator package.
Can you tell me where to download this? The only
Thanks very much, Bernhard and Terry.
It clarify my confusion and really helps a lot.
Regards
Jeff Xu
Terry Therneau wrote:
plot(survfit(fit)) should plot the survival-function for x=0 or
equivalently beta'=0. This curve is independent of any covariates.
This is not correct. It plots
On 2/26/2009 11:08 AM, eric lee wrote:
Hi. I'm trying to run the elliptic package on my computer (windows
platform, version 2.7.2). I downloaded the elliptic package zip file
from
http://lib.stat.cmu.edu/R/CRAN/
and installed it, but it says that it needs the emulator package.
Can you tell
Hi, Duncan. I choose 'package' then ''install package' and tried 6
different U.S. mirrors. The message I always get is:
Warning: unable to access index for repository
http://lib.stat.cmu.edu/R/CRAN/bin/windows/contrib/2.7
Warning: unable to access index for repository
Reading this article, announcing the elliptic package (which was a
distinct pleasure) and also looking at the R-FAQ, my guess is that
you need the BACCO bundle.
http://www.jstatsoft.org/v15/i07/paper
--
David Winsemius
On Feb 26, 2009, at 11:08 AM, eric lee wrote:
Hi. I'm trying to run
Thanks, Duncan. The BACCO package worked.
On Thu, Feb 26, 2009 at 11:22 AM, Duncan Murdoch murd...@stats.uwo.ca wrote:
On 2/26/2009 11:08 AM, eric lee wrote:
Hi. I'm trying to run the elliptic package on my computer (windows
platform, version 2.7.2). I downloaded the elliptic package zip
Gabor Grothendieck wrote:
Try
if (.Platform$OS.type == windows) ... else ...
Gabor has suggested what I think is the best way to do this check, but
in my experience, if you are doing this check then you are almost
certainly missing some feature of R that will let you avoid doing it.
This could depend somewhat on which OS you have on the computers as to which
packages will work or work best for you. A couple of packages to look at
include, Rmpi, nws, and snow (no relation), and the other packages in the
suggests field for snow.
--
Gregory (Greg) L. Snow Ph.D.
Statistical
Hi everyone,
I have to fetch about 300 to 500 zipped archives from a remote ftp server.
Each of the archive is about 1Mb. I know I can get it done by using
download.file() in R, but I am curious that is there a faster way to do this
using RCurl. For example, are there some parameters that I can
I'm resending this message because I did not include a subject line in my first
posting.
Apologies for the inconvenience!
Tanja
Hello,
I'm trying to fit a generalized linear mixed model to estimate diabetes
prevalence at US county level. To do this I'm using the glmer() function in
randomForest output is based on predict(iris.rf) whereas the
code shown below uses predict(iris.rf, iris). See ?predict.randomForest
for an explanation.
On Thu, Feb 26, 2009 at 11:10 AM, Li GUO guol...@yahoo.com wrote:
Dear R users,
I have a question on the confusion matrix generated by
It looks like what you did was something like:
tmp - sim(100)
table(tmp)/100
To get your results (it is easier for us to help if you tell us what you
actually did, also setting a seed and telling us that seed helps us reproduce
what you did exactly).
The reason that you did not see 9 and 10
All San Francisco Bay Area useRs,
On March 11th, Spencer Graves Sundar Dorai-Raj will talk about
Creating R Packages, and related issues.
This is the first of our (now) regular monthly meetings, details here
http://www.meetup.com/R-Users/calendar/9718957/
Last week Wednesday, we had over 60
Are you behind a firewall?
See the help for download.file for details on setting proxy information if this
is the case.
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail.org
801.408.8111
-Original Message-
From:
Hi:
I am a new R user. I have the following question and would appreciate your input
Data1 (data frame 1)
p1,d1,d2 (p1 is text and d1 and d2 are numeric)
xyz,10,25
Data2 (data frame 2)
p1,d1,d2
xyz,11,15
Now I want to create a new data frame that looks like so below. The fields d1
and s2 are
Has there been any follow up to this question? I have found myself wondering
the same thing: How then does SAS fit a beta distributed GLMM? It also fits
the negative binomial distribution.
Both of these would be useful in glmer/lmer if they aren't 'illegal' as
Brian suggested. Especially as SAS
Hi all,
I have to run a logit regresion over a large dataset and I am not sure
about the best option to do it. The dataset is about 20x2000 and R
runs out of memory when creating it.
After going over help archives and the mailing lists, I think there are
two main options, though I am
On Thu, 26 Feb 2009, Paul Gilbert wrote:
Gabor Grothendieck wrote:
Try
if (.Platform$OS.type == windows) ... else ...
Gabor has suggested what I think is the best way to do this check, but in my
experience, if you are doing this check then you are almost certainly missing
some
For the first question you can use %in% rather than ==, for example:
ifelse( dataframe$vector_o_number %in% c('00','01), 'red', 'black')
for the reference line, the abline function will draw a line the full
width/height of a graph for a general reference, if you want separate lines for
each
Hi there,
something like this?
Data1-read.table(stdin(), head=T, sep=,)
p1,d1,d2
xyz,10,25
kmz,100,250
Data2-read.table(stdin(), head=T, sep=,)
p1,d1,d2
xyz,11,15
kmz,110,150
Data1
Data2
Data3-data.frame(rbind(Data1,Data2))
Data3
Data3.sum-aggregate(Data3[,c(d1,d2)], list(Data3$p1), sum)
Dear all,
I've sent a mail last week already. I've been trying to get this predict
function work, but somehow I keep on getting the same error. Read the help
files, searched the internet, but I don't seem to get what I'm doing wrong.
Anybody who has experience with this function? It's contained
on 02/26/2009 11:52 AM Vadlamani, Subrahmanyam {FLNA} wrote:
Hi:
I am a new R user. I have the following question and would appreciate your
input
Data1 (data frame 1)
p1,d1,d2 (p1 is text and d1 and d2 are numeric)
xyz,10,25
Data2 (data frame 2)
p1,d1,d2
xyz,11,15
Now I want to
Has anyone had success with producing legends to a qplot graph such that the
legend is placed on the bottom, under the abcissa rather than to the right hand
side ?
The following doesn't move the legend:
library(ggplot2)
qplot(mpg, wt, data=mtcars, colour=cyl,
You need to set Class as factor before you call naiveBayes(); i.e.,
mixture.train$Class - factor(mixture.train$Class)
Then you can just do:
pred.bayes -predict(Bayes.res, mixture.test, type=class)
Andy
-Original Message-
From: r-help-boun...@r-project.org
Rolf Turner r.tur...@auckland.ac.nz writes:
Despite the knowledge, wisdom, insight, skill, good looks, and other
admirable characteristics of the members of the R-help list, few of
us are skilled in telepathy or clairvoyance.
Oh, yeah? Then how did I know you were going to say that, huh?
--
I would like to do as follows
plot(a,b)
points(c,d,pch=19)
Now join with a line segment point a[1], b[1] to c[1], d[1]; a[2],
b[2] to c[2], d[2] ... a[n], b[n] to c[n], d[n]
All corresponding points from the two data sets are joined by line segments.
Thanks very much for any tips on how to do
On Thu, Feb 26, 2009 at 10:58 AM, Tanja Srebotnjak
tan...@u.washington.edu wrote:
I'm resending this message because I did not include a subject line in my
first posting.
Also, it is generally more effective to send questions about
lmer/glmer to the R-SIG-Mixed-Models list, which I am cc:ing
I'm writing a program that will tell me whether I should wear a coat,
so I'd like to be able to download daily weather forecasts and daily
reports of recent past weather conditions.
The NOAA has very promising tabular forecasts
On Thu, Feb 26, 2009 at 12:04 PM, Jeff Evans evans...@msu.edu wrote:
Has there been any follow up to this question? I have found myself wondering
the same thing: How then does SAS fit a beta distributed GLMM? It also fits
the negative binomial distribution.
When SAS decides to open-source
Try:
segments(a,b,c,d)
--
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 Behalf Of William Simpson
Sent: Thursday,
have a look at segments(), e.g.,
x - rnorm(5)
y - rnorm(5)
z - rnorm(5)
w - rnorm(5)
r1 - range(x, z)
r2 - range(y, w)
plot(r1, r2, type = n)
points(x, y)
points(z, w, pch = 19)
segments(x, y, z, w)
I hope it helps.
Best,
Dimitris
William Simpson wrote:
I would like to do as follows
On 27/02/2009, at 9:46 AM, William Simpson wrote:
I would like to do as follows
plot(a,b)
points(c,d,pch=19)
Now join with a line segment point a[1], b[1] to c[1], d[1]; a[2],
b[2] to c[2], d[2] ... a[n], b[n] to c[n], d[n]
All corresponding points from the two data sets are joined by line
Thomas,
Have a look at the source code for the webpage (ctrl-u in firefox,
don't know in internet explorer, etc.). That is what you'd have to
parse in order to get the forecast from this page. Typically when I
parse webpages such as this I use regular expressions to do so (and I
would never
Thanks very much Rolf, Dimitris, Greg!
Bill
On Thu, Feb 26, 2009 at 8:56 PM, Rolf Turner r.tur...@auckland.ac.nz wrote:
On 27/02/2009, at 9:46 AM, William Simpson wrote:
I would like to do as follows
plot(a,b)
points(c,d,pch=19)
Now join with a line segment point a[1], b[1] to c[1],
Thanks for responding Doug. I'm sure SAS just hasn't gotten around to
releasing their code yet.
lme4 does have a leg up on GLIMMIX in other areas, though.
The latest SAS release (9.2) is now able to compute the Laplace
approximation of the likelihood, but it will only fit an overdispersion
I am running R version 2.8.1 on Windows XP OS.
I generate and write a .csv file from my R script. Then the following
command works to upload it to a remote server using a windows batch file
that carries out the ftp (among other things).
system(C:/upload_data/uploadq8.bat
Hi all,
I would like to run the gam package, but can not quite seem to get
the syntax correct for my data format as simple as it is.
The gamlss package has a user manual but other than the help with gam
package I can not find a user manual per se.
I did install the gamair that has loads of
On Feb 26, 2009, at 4:44 PM, Neotropical bat risk assessments wrote:
Hi all,
I would like to run the gam package, but can not quite seem to get
the syntax correct for my data format as simple as it is.
The gamlss package has a user manual but other than the help with
gam package I can
Looks like you can sign up to get XML feed data from Weather.com
http://www.weather.com/services/xmloap.html
Hope it works out!
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of James Muller
Sent: Thursday, February 26, 2009 3:57
Hi everyone,
In the situation that the remote file does not exist, download.file fails,
yet it still creates a file as provided for destfile argument. I tried to
delete this bad file but got the message that it is still being used by
other programs, which I assume is R.
Does anyone know how
On Feb 26, 2009, at 4:54 PM, David Winsemius wrote:
On Feb 26, 2009, at 4:44 PM, Neotropical bat risk assessments wrote:
Hi all,
I would like to run the gam package, but can not quite seem to get
the syntax correct for my data format as simple as it is.
The gamlss package has a user
Scillieri, John wrote:
Looks like you can sign up to get XML feed data from Weather.com
http://www.weather.com/services/xmloap.html
... and use the excellent R package XML by Duncan Temple Lang to parse
the document and easily access the data with, e.g.., XPath rather than
regular
Yes, as a general thing go to regular expressions if you don't have an
existing library available to do the same thing (or you're lazy like
me:).
Jame
On Thu, Feb 26, 2009 at 5:16 PM, Wacek Kusnierczyk
waclaw.marcin.kusnierc...@idi.ntnu.no wrote:
Scillieri, John wrote:
Looks like you can sign
James Muller wrote:
Yes, as a general thing go to regular expressions if you don't have an
existing library available to do the same thing (or you're lazy like
me:).
many things are simply *much* easier with xpath than with regexes, and
with the XML package you got it for free.
vQ
-- or perhaps even the section on Additive Models in the latest edition of
VR's MASS (still a useul book to have in one's library, IMHO, although,
like me, it's getting grayer)
Bert Gunter
Genentech Nonclinical Biostatistics
650-467-7374
-Original Message-
From:
2009/2/26 Thomas Levine thomas.lev...@gmail.com:
I'm writing a program that will tell me whether I should wear a coat,
so I'd like to be able to download daily weather forecasts and daily
reports of recent past weather conditions.
The NOAA has very promising tabular forecasts
If anyone wants to see a prime example of how inefficient it is to
program in SAS, take a look at the SAS programs provided by the US
Agency for Healthcare Research and Quality for risk adjusting and
reporting for hospital outcomes at
http://www.qualityindicators.ahrq.gov/software.htm . The
On Thu, Feb 26, 2009 at 7:02 AM, phguard...@aol.com wrote:
Hello,
I d like to run a survival analysis with left truncated data. Could you
recommend me a package to do this please ?
The 'eha' package if you want parametric or discrete time models.
Göran
Thanks
Philippe Guardiola
See also http://umbrellatoday.com/
Hadley
On Thu, Feb 26, 2009 at 2:47 PM, Thomas Levine thomas.lev...@gmail.com wrote:
I'm writing a program that will tell me whether I should wear a coat,
so I'd like to be able to download daily weather forecasts and daily
reports of recent past weather
Hi all,
Tnx for the number of suggestion to buy one of the books.
Unfortunately being a non profit conservation project now w/o funding
since all Central American projects were shut down 2 years ago due to
lack of donor funding I have nothing now at all for books or even my
support, to cover
I have a tightly coupled collection of variables with different lengths and
types (some characters and others numerics). I looked at the documentation for
data.frame, but indicates that it expects all variables to have the same
length, i.e. number of elements.
I was hoping the See Also
Dear All,
I am interested in using R to summarize data so that I can THEN do some
additional analyses using behavioral data.
I study birds, mostly, and often behavioral data that includes timing. So,
for example, each line may be the occurrence of some behavior, and it would
include identifiers
Elaine Jones wrote:
I am running R version 2.8.1 on Windows XP OS.
I generate and write a .csv file from my R script. Then the following
command works to upload it to a remote server using a windows batch file
that carries out the ftp (among other things).
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