John Sorkin wrote:
> windows XP R 2.6.0
What about upgrading to some recent version of R?
> I have tried to install the msm package several
> times.
How?
Using the menu?
Or with install.packages("msm") ?
Which mirror did you choose?
> Each time the installation appears to work. I then
Hi!
I'm doing:
etni <- subset(etni, NAMECOM!="Maniquisito")
where etni is a data.frame, NAMECOM a factor and "Maniquisito" labels
a row that I want to delete.
The problem is that while the row is deleted, the factor level is still
there (I can see "Maniquisito" if I do levels(etni$NAMECOM) ).
On Tuesday 01 April 2008 09:43:00 am Agustin Lobo wrote:
AL> I'm doing:
AL> etni <- subset(etni, NAMECOM!="Maniquisito")
AL>
AL> where etni is a data.frame, NAMECOM a factor and "Maniquisito" labels
AL> a row that I want to delete.
AL>
AL> The problem is that while the row is deleted, the factor le
Hi all,
I would like to make a 2-by-2 comparison of intercepts and slopes from
linear regression models.
Can you advise me on that?
All the best,
Diogo André Alagador
[[alternative HTML version deleted]]
__
R-help@r-project.org mailing li
Thanks, problem solved thanks to your hints, but, within subset(),
drop=T still keeps
the unused levels (I'm using 2.6.1 on win).
Agus
Stefan Grosse escribió:
> On Tuesday 01 April 2008 09:43:00 am Agustin Lobo wrote:
> AL> I'm doing:
> AL> etni <- subset(etni, NAMECOM!="Maniquisito")
> AL>
> AL>
access networked PCs directories/files with R ?
Dear group,
I would like to know if there is an "easy" way to access several
networked PCs directories/files from one PC with R ?
Concerned OS is windows.
I can for instance use dir() on my current PC.
Is there a way to do dir() on a connected PC ?
Dear Javier,
It seems to me that you want to calculate cross variograms. You can do
that with the gstat package. Have a look at the example in ?gstat
libary(gstat)
data(meuse)
# let's do some manual fitting of two direct variograms and a cross
variogram
g <- gstat(id = "ln.zinc", formula = log(zi
On Monday 31 March 2008 10:17:50 pm Francois Pepin wrote:
FP> Example of row names that are truncated in Illustrator (* denoting
FP> truncation):
FP> CCDC3*4 (2nd row)
FP> MUC2*0 (3rd row)
FP> MBNL*1 (8th row)
Those are not truncated with me but there are some truncated, this is true.
Note that
try the following:
dat <- data.frame(
id = gl(10, 5),
y = rnorm(50),
time = rep(1:5, 10),
sex = gl(2, 25, labels = c("male", "female")),
age = round(rep(runif(10, 18, 55), each = 5), 1)
)
dat[tapply(row.names(dat), dat$id, head, n = 1), ]
dat[!duplicated(dat$id), ]
I hope it
Hi;
I cannot find in the R html documentation a way to evaluate
cross-correlation in 2D data sets.
I would like to evaluate cross-correlation in a series of moving windows
between two maps.
i,e, specify several windows inside the complete 2D spatial matrixes and
for each one ofthese windows evalu
On Tue, 1 Apr 2008, mel wrote:
> access networked PCs directories/files with R ?
>
> Dear group,
>
> I would like to know if there is an "easy" way to access several
> networked PCs directories/files from one PC with R ?
> Concerned OS is windows.
>
> I can for instance use dir() on my current PC.
Steve Schachterle gmail.com> writes:
>
> My question is in regard to the spdep and GeoDa packages. Do you know how
> to extract a neighborhood/adjacency matrix from R? I need a matrix that has
> all the neighborhoods on the X and Y axis, and then a r=1 when the
> neighborhoods touch, and a r=0
Hello,
I am working on a dataframe that contains a number of duplicates (e.g
a person may have more than one court appearance). There are 539
rows. If I run the code:
> length(unique(Feb25$ Patient.Id))
this indicates there are 508 unique individuals. I have been unable
to work out how to fi
I am using the lmer function from the lme4 package. I wrote the
following statement, specifying the method to be adaptive Gaussian
quadrature. I am getting an error saying "method = "AGQ" not yet
implemented for supernodal representation". Please help. How can i implement
AGQ.
fit<-lmer(respons
Tom Cohen <[EMAIL PROTECTED]> skrev:Thanks Prof Brian for your suggestion.
I should know that for right-skewed data,
one should generate the samples from a lognormal.
My problem is that x and y are two instruments that were thought to
be measured the same thing but somehow show a wide c
Dear Tom,
In my opinion you should first transform your data to the log-scale and then
calculate the mean and st.dev. of the log-transformed data. Because
mean(log(x)) is not equal to log(mean(x)).
HTH,
Thierry
ir.
On Tuesday 01 April 2008 02:20:39 pm Boikanyo Makubate wrote:
BM> I am using the lmer function from the lme4 package. I wrote the
BM> following statement, specifying the method to be adaptive Gaussian
BM> quadrature. I am getting an error saying "method = "AGQ" not yet
BM> implemented for supernod
Try drop.levels in library gdata.
Weidong Gu,
Department of Medicine
University of Alabama, Birmingham
1900 University Blvd., Birmingham, Alabama 35294
Email: [EMAIL PROTECTED]
PH: (205)-975-9053
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of Agustin Lo
Sorry if cross-posting
Hi all,
I would like to make a 2-by-2 comparison of intercepts and slopes from
linear regression models.
Can you advise me on that?
All the best,
Diogo André Alagador
[[alternative HTML version deleted]]
__
R-h
Try:
http://www.math.usu.edu/~minnotte/research/software/sizer.r
Note that I haven't tried it...
sewatkins wrote:
>
> Hello,
>
> I am a graduate student at UNC Chapel Hill, and I am attempting to create
> a SiZer plot for a nonparametric analysis. I have found the file to use
> this progra
See also the CRAN package feature, by Tarn Duong and Matt Wand:
http://cran.r-project.org/web/packages/feature/index.html
sewatkins wrote:
>
> Hello,
>
> I am a graduate student at UNC Chapel Hill, and I am attempting to create
> a SiZer plot for a nonparametric analysis. I have found the f
The R translation teams have done a great job in making R usable for
people who do not have English as their mother tongue. However, even
within English speaking countries, there are groups which have trouble
with the language, and it may be valuable to support the Sociolects of
these groups too.
T
On Tue, Apr 1, 2008 at 7:45 AM, Stefan Grosse <[EMAIL PROTECTED]> wrote:
> On Tuesday 01 April 2008 02:20:39 pm Boikanyo Makubate wrote:
> BM> I am using the lmer function from the lme4 package. I wrote the
> BM> following statement, specifying the method to be adaptive Gaussian
> BM> quadratur
Dear all,
this might be not only an R-question but also a statistical.
When I do a logistic regression analysis (species distribution modeling)
with function lrm (Design package) I get the follwoing error message:
> tadl1<-lrm(triad~fd+dista+fd2+dista2+fd:dista+dista:geo2, x=T, y=T)
Error in i
Groovy!!!
Charles Annis, P.E.
[EMAIL PROTECTED]
phone: 561-352-9699
eFax: 614-455-3265
http://www.StatisticalEngineering.com
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On
Behalf Of Peter Dalgaard
Sent: Tuesday, April 01, 2008 10:19 AM
To: R help
Subject: [R]
Hi Chib
>>whether there is a way of handling the error you get in the
download.file() function
I think the function "try" will do this for you. That is, handle the
error.
Have a look at ?try.
Regards
John Seers
---
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTE
Hi Jim,
I just wanted to know if there is a function in R that can tell you whether a
file on the internet exists before you attempt to download it or whether there
is a way of handling the error you get in the download.file() function without
having it break a for loop with the download error
?file.exists
On 4/1/08, CHIB CO <[EMAIL PROTECTED]> wrote:
> Hi Jim,
>
> I just wanted to know if there is a function in R that can tell you whether
> a file on the internet exists before you attempt to download it or whether
> there is a way of handling the error you get in the download.file() fu
When I do it with a function I lose the workspace. This is on a
regulated matter and I MUST keep record of all commands/output from the
source script plus the resulting workspace.
Thanks everybody.
Original Message
From: [EMAIL PROTECTED]
Date: 03/31/2008 13:10
To: "stephen bond"<[EMAI
Dear Peter,
congratulations. Looks very impressive. Seems like you guys in Denmark
are very productive this time of the year.
This brings me to my actual problem: isn't Lars Polifo a close relative
of Rolf Poalis? Has there been any recent progress with the 'sas2r'
parser? http://tolstoy.newcas
I have a set of data frames ds1, ds2, ... each having the same columns
and column names:
ds1 <- data.frame(x=c(1,2,3,4), y=c(5,6,7,8))
ds1 <- data.frame(x=c(9,10,11,12), y=c(13,14,15,16))
...
and I would like to combine them into just one data frame like
ds <- rbind(ds1, ds2, ...)
Becau
I can see that R_help mailing list always has the same quality and
educative interest, even at some recurrent dates.
Keep up the good job, eh.
Best wishes,
Eric
2008/4/1, Peter Dalgaard <[EMAIL PROTECTED]>:
>
> The R translation teams have done a great job in making R usable for
> people who d
Hello,
I wrote a program to convert normal distribution to trinomial
distribution (three levels=0,1,2). But the first function I wrote
(convert.to.trinom1) converts everything to 2. When I changed it
slightly (convert.to.trinom2), it works correctly (ie. converts to
0,1, or 2). I cannot figure out
You should write the function in this way, I think.
convert.to.trinom3=function(data, z1, z2){
ans <- data
ans[data=z2]=2
ans
}
On Tue, Apr 1, 2008 at 11:54 PM, Kyeongmi Cheon <[EMAIL PROTECTED]> wrote:
> Hello,
> I wrote a program to convert normal distribution to trinomial
> distrib
Hi all,
I'm a newbie to lattice graphics. I think I have a very similar problem
trying to overlay plots from different data sets. I tried a number of
different things but don't seem to get it to work. I am using xYplot from
library Hmisc to produce a lattice plot with Median plus error bands plott
Prof Brian Ripley a écrit :
> On Tue, 1 Apr 2008, mel wrote:
>
>> access networked PCs directories/files with R ?
>>
>> Dear group,
>>
>> I would like to know if there is an "easy" way to access several
>> networked PCs directories/files from one PC with R ?
>> Concerned OS is windows.
>>
>> I can
Try this:
do.call(rbind, lapply(ls(patt="^ds[0-9]"), get))
On 01/04/2008, Hans W. Borchers <[EMAIL PROTECTED]> wrote:
> I have a set of data frames ds1, ds2, ... each having the same columns
> and column names:
>
> ds1 <- data.frame(x=c(1,2,3,4), y=c(5,6,7,8))
> ds1 <- data.frame(x=c(9,10,11
Will this do it for you:
> ds1 <- data.frame(x=c(1,2,3,4), y=c(5,6,7,8))
> ds2 <- data.frame(x=c(9,10,11,12), y=c(13,14,15,16))
> ds3 <- data.frame(x=c(1,2,3,4), y=c(5,6,7,8))
> ds4 <- data.frame(x=c(9,10,11,12), y=c(13,14,15,16))
> x.n <- c('ds1','ds2','ds3','ds4')
>
> # create a list of data
Hi all,
I've been trying to figure out how to superimpose a histogram on a
biplot that shows the relative contribution of each axis. I have
been using the NIPALS function (http://biomserv.univ-lyon1.fr/~dray/
files/softwares/nipals.R) to run principal component analyses. Here
is a toy exa
Hi Jennie,
if you have questions about ade4, you can use the adelist
http://listes.univ-lyon1.fr/wws/info/adelist
ade4 has the add.scatter.eig function which is exactly what you need. Try
add.scatter.eig(nipmat$eig, xax=1, yax=2)
Cheers,
Jennie Lavine wrote:
> Hi all,
>
> I've been trying to
On Tuesday 01 April 2008 04:18:55 pm Peter Dalgaard wrote:
PD> The R translation teams have done a great job in making R usable for
PD> people who do not have English as their mother tongue. However, even
PD> within English speaking countries, there are groups which have trouble
PD> with the langua
Eva Mosner wrote:
> Dear all,
>
> this might be not only an R-question but also a statistical.
> When I do a logistic regression analysis (species distribution modeling)
> with function lrm (Design package) I get the follwoing error message:
>
> > tadl1<-lrm(triad~fd+dista+fd2+dista2+fd:dista+d
You can try this:
x <- data.frame()
for(i in LETTERS[1:5]) x[1:10, i] <- rnorm(10)
x
On 01/04/2008, Georg Ehret <[EMAIL PROTECTED]> wrote:
> Dear R community,I am using a dataset and would like to define new
> variables using a R variable:
>
> e.g.
>
> for (i in 1:10){
>dataset$i<-som
Dear R community,I am using a dataset and would like to define new
variables using a R variable:
e.g.
for (i in 1:10){
dataset$i<-something
}
But this is not the right way, I get only one variable in "dataset"...
How can I change this?
Thank you!
Georg.
Georg Ehr
Hi,
I've compared observed and predicted and they match 100%.
For 90% probability of occurrence:
table(can>0,fitted(can3.gam)>0.9)
FALSE TRUE
FALSE230
TRUE 0 125
So i guess it is a valid result . but very unexpected for me.
Thank you again for all the help,
i m not sure what u really want to do but if ur looking for some subsample
of dataset then u might wanna try this (say in case u want to resample ur
dataset by column "id" in ur dataset then do
resample<-sample(dataset$id,n,replace=F)
dataset<-dataset[resample, ]
note here n
> However, it looks this works only when the data are in the sequence
> of the levels in the factor defining the fill colours. When the
> sequence is different, the legend gets "scrambled", in that the order
> of the colours does not match the labels.
You can fix this by explicitly specifying
Henrique Dallazuanna wrote (1.4.2008):
> You can try this:
>
> x <- data.frame()
> for(i in LETTERS[1:5]) x[1:10, i] <- rnorm(10)
> x
Or this:
--- cut here ---
df<-data.frame(0) [obsolet, if df already exists]
for (i in 1:10) { df<-data.frame(cbind(df,0)); names(df)
[ncol(df)]<-as.character(i) }
Hello,
I tried to compile the source of a package which uses fortran90 with
R 2.6.2 and R 2.6.1 without success. Compiling it with 2.5.1 is
successful. The error message for versions >= 2.6.1 is:
gfortran: error trying to exec 'f951': execvp r
What is the reason for that?
Best regards
Meinh
Hadley,
Thanks a lot!
BTW, do you have any document explaining the object philosophy of
ggplot? I was trying to see how you defined scale_fill_identity, but
could not find it...
Cheers,
Pedro
At 19:50 2008/04/01, hadley wickham wrote:
> > However, it looks this works only when the data are in
have not followed the thread completely, but:
have you tried `bitmap' with `type = pdfwrite' (or psgrb)
for comparison? at least with `pdf' there are some issues which
can be avoided by using ghostscript via `bitmap'.
joerg
On Mon, Mar 31, 2008 at 04:17:50PM -0400, Francois Pepin wrote:
> Prof B
Hi John Seers,
thanks for the tip, it works.
Kind Regards
Chib
> Subject: RE: [R] download.file error
> Date: Tue, 1 Apr 2008 15:39:01 +0100
> From: [EMAIL PROTECTED]
> To: [EMAIL PROTECTED]; [EMAIL PROTECTED]
> CC: r-help@r-project.org
>
> Hi Chib
>
> >>whether there is a way of handling
Weidong Gu uab.edu> writes:
>
> Try drop.levels in library gdata.
>
For what it's worth, adding a drop.levels (default FALSE)
to subset is a long-standing wish of mine -- I keep meaning
to put together a patch to do this. (This question comes
up about once a year on the R help list.) I loo
Hi,
I have tried some time trying to figure out how to use pamr to plot multiclass
Estimated probabilities for the training data and test data?
Specifically, how to recreate the PAMR publication on PNAS with
Tibshrani et al. The publication is as attached. The plot I want to
do is Figure
Hi,
we are trying to do structural equation modelling on R. However, one of our
predictor variables is categorical (smoker/nonsmoker). Now, if we want to
run the sem() command (from the sem library), we need to specify a
covariance matrix (cov). However, Pearson's correlation does not work on the
Dear Colleagues,
Seems I had in the past run across the capability to create a
three-dimensional scatterplot where I could use the mouse to "grab"
the plot and rotate the axes with the mouse. I have used RSiteSearch
and found a few things (e.g., TeachingDemos, iplot) but cannot find
the package/f
Thanks for your message! Yes, the fault was with my configuration ---
I changed the video card refresh rate setting from 75 Hz to 60 Hz and
the behavior is no longer sluggish.
On Mon, Mar 31, 2008 at 4:03 AM, Prof Brian Ripley
<[EMAIL PROTECTED]> wrote:
> I don't see this on a much older and slow
Try the 'rgl' package
On Tue, Apr 1, 2008 at 8:09 PM, Lawrence Hanser <[EMAIL PROTECTED]> wrote:
> Dear Colleagues,
>
> Seems I had in the past run across the capability to create a
> three-dimensional scatterplot where I could use the mouse to "grab"
> the plot and rotate the axes with the mouse.
Roger Bivand Roger.Bivand at nhh.no writes:
>This was exactly why I emphasised care. One way to try to do this is
> to extract the FS data slot:
> FSd <- as(FS, "data.frame")
> and then merge() FSd and agg2, using - untried - something like:
> FS1d <- merge(FSd, agg2, by="row.names", all=TRUE)
It
There are simpler looking ways of doing this. Here are two
convert.to.trinom3 <- function(data, z1, z2)
ifelse(data < z1, 0, ifelse(data < z2, 1, 2))
convert.to.trinom3 <- function(data, z1, z2)
cut(data, c(-Inf, z1, z2, Inf), labels = FALSE) - 1
The second neatly generalizes to the case
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