Hi,
Please, can you tell if there are any package or R
code for STAR models estimation and test
misspecification.
Thanks in advance
Best regards
AJMI Noomen
PHD Student
TUNISIA
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On Tue, 28 Jun 2005, Ju-Sung Lee wrote:
> I think I've misread the intent of the GetRNGstate() and other API
> functions; these only work when embedded in C functions eventually called
> from R. Apologies for the mistake.
First, the posting guide asks you to send programming questions to the
R-
This is based on a false premise. R _can_ read files containing such
names: use readLines() or scan(allowEscapes=FALSE). Someone else wrote
the C for you!
The restriction is that if you pass character strings to the parser, they
are interpreted according to the documented rules, including int
Thanks
Most thoughtful...
Regards
S
From: Spencer Graves [mailto:[EMAIL PROTECTED]
Sent: Mon 27/06/2005 19:52
To: Stephen
Cc: Douglas Bates; r-help@stat.math.ethz.ch
Subject: Re: [R] Mixed model
I often think carefully about what I want and store
I think I've misread the intent of the GetRNGstate() and other API
functions; these only work when embedded in C functions eventually called
from R. Apologies for the mistake.
On Tue, 28 Jun 2005, Ju-Sung Lee wrote:
> Hi,
>
> Has anyone managed to successfully call GetRNGstate() / PutRNGstate(
Hi,
Has anyone managed to successfully call GetRNGstate() / PutRNGstate()
without crashing in a Windows environment (spec. XP)? I've compiled
successfully using both the latest Cygwin, latest Mingw, and the version
of Mingw suggested in "Building R for Windows" website, but when the
executabl
Dear R users,
My input is a matrix. The matrx rows are sample; the matrix columns
are features. I need an output matrix which include the original
features and some kinds of transformed features. For example, there
are only three features x1, x2, and x3 in my original matrix (input
matrix). The fe
> -Original Message-
> From: [EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED] Behalf Of Henrik Bengtsson
> Sent: Tuesday, 28 June 2005 2:54 AM
> To: Spencer Graves
> Cc: r-help@stat.math.ethz.ch; Dirk Eddelbuettel
> Subject: Re: [R] How to convert "c:\a\b" to "c:/a/b"?
>
... snipped
> T
Hi, Gabor, James, et al.:
Thanks for the help. I'm unable to get "scan('clipboard', what='',
allowEscapes=FALSE))" to work reliably on my system using Rgui under
Windows XP, R 2.1.1 patched. However, "file.choose()" works like a charm.
Thanks again, everyone.
spe
Hi all,
The package MIX is for estimation and multiple imputation for mixed
categorical and continuous data. I want to use multiple imputation to impute
the missing values in the covariates of Cox model, I am wondering if I could
use MIX to do that. I mean that my dataset is failure time dist
Here is one way to do it.
> jen2<-reshape(jen,idvar="DNA",timevar="center",direction="wide")
This makes it easier to work with.
> jen2<-replace(jen2,jen2=="?",NA)
Change the question marks to NA.
> jen2$match1<-((jen2[,2]==jen2[,4])*1)
> jen2$match2<-((jen2[,3]==jen2[,5])*1)
> jen2
DNA snp
Try using file.choose() to locate the file instead of Windows Explorer. That
will return the name in a form useable within R.
On 6/27/05, Spencer Graves <[EMAIL PROTECTED]> wrote:
> Thanks, Dirk, Gabor, Eric:
>
> You all provided appropriate solutions for the stated problem.
>
If you can be sure that the non-NAs are contiguous, then the following
should work:
sapply(d, function(x) max(which(!is.na(x
Andy
> From: Pierre Lapointe
>
> Hello,
>
>
>
> In a dataframe, I want the index if the last non-NA data. Example:
>
>
>
> d<-data.frame(matrix(c(1,3,4,2,7,
Hello,
In a dataframe, I want the index if the last non-NA data. Example:
d<-data.frame(matrix(c(1,3,4,2,7,8,1,NA,2),3,3,byrow=TRUE))
gives:
> d
X1 X2 X3
1 1 3 4
2 2 7 8
3 1 NA 2
I want a vector that gives me 3 2 3
I know about tail and which, but I don't know
HI,
I have the data in the following format. My aim is to determine the
concordance in genotype calls (SNP1, 2, 3,etc) at two centers.
DNA center snp1 snp2
NA07019 1 A A
NA07348 1 M G
NA10830 1 A G
NA10851 1 M G
NA10857 1 A G
It's not so much a problem, as not working the way you expected.
cluster:::plot.partition is used to do the plotting. If you look at the code
for this you can see the difficulty in putting every possible permutation into
the code. If for example you want the silhouette plot to be red using col =
The following might be helpful.
Statistical Reference Datasets (StRD) website
http://www.nist.gov/itl/div898/strd
http://www.amstat.org/publications/tas/mccull-1.pdf
http://www.amstat.org/publications/tas/mccull.pdf
-Don
At 11:57 AM -0300 6/27/05, Talita Perciano Costa Leite wrote:
>Hi peo
problem solved. thank you Jim and Spencer for your
answers.
> This gives the same answer for what you have
> supplied so far...
> >
> dat$d<-ifelse((dat$b-dat$a)>=1000,dat$b-dat$a+1,0)
> > dat
>abcd
> 1 1 1001 1001 1001
> 2 2 100100
> 3 3 100100
> 4 4 1001
Hi Richard,
I'm not sure that I can imagine how data can have too many zeros to be
fit well with zero-inflated Poisson models. Won't the excess zeros be
accommodated by increasing the the inflation?
In any case, if you want a model that separates the zeros from the
occurrences before fitting a Po
Have you considered a generalization of the following:
dat <- expand.grid(a=1:2, b=1001:1002); class(dat)
Xlate <- array(4:1, dim=c(2,2))
dat$c. <- Xlate[cbind(dat$a, dat$b-1000)]
spencer graves
Jim Brennan wrote:
> This gives the same answer for what you have supplied so fa
I'm using ks.test() to compare two different
measurement methods. I don't really know how to
interpret the output in the absence of critical value
table of the D statistic. I guess I could use the
p-value when available. But I also get the message
"cannot compute correct p-values with ties ..." doe
This gives the same answer for what you have supplied so far...
> dat$d<-ifelse((dat$b-dat$a)>=1000,dat$b-dat$a+1,0)
> dat
abcd
1 1 1001 1001 1001
2 2 100100
3 3 100100
4 4 100100
5 1 1002 1002 1002
6 2 1002 1001 1001
7 3 100200
8 4 10020
dear list:
I made some corrections in the previous post that had
some mistakes.
I need help to achieve a simpler code to complete a
task I'm performing.
here is an example:
dat<-expand.grid(a=seq(1,4),b=seq(1001,1004))
#I want to add a new column dat$c in that:
t1<-ifelse(dat$a==1&dat$b==100
Hello,
In cluster analysis with cluster, how does one colour the silhouette
plots ? For example in using pam. There seems to be some problem there.
Everything else can be coloured.
Thanks,
A. Mani
Member, Cal. Math. Soc
__
R-help@stat.math.eth
Have you considered "predict" (including the examples with
"?predict.lm")?
spencer graves
Tony Young wrote:
> Hello all,
>
> I need some help with linear modeling and making predictions using my
> model. What I have done is the following:
>
> -Read my variable data into
Hello,
This is an (hopefully) improved question of one I posted several weeks
ago. Does anyone know of a function for fitting "two-part" models?
These models are designed to handle count data with so many zeroes
that they can't be fit well with zero-inflated Poisson models or other
'typical' GLMs.
If you have 'copied' the path from DOS, then you can use 'scan' to read it
into a variable with the proper characters.
Here is the string that I 'copied'
D:\spencerg\statmtds\R\Rnews
Here is the results after 'scan':
> x.1 <- scan('clipboard', what='', allowEscapes=FALSE)
Read 1 item
> x.1
Spencer Graves wrote:
> Hi, Henrik:
>
> Several functions, e.g., "grep", "sub", "gsub", and "regexpr",
> have an argument "perl", FALSE by default. Moreover, "?regexp" has a
> section on "Perl Regular Expressions". If you can do it in perl, might
> that transfer to "gsub(..., perl=TRUE)
dear list:
I need help to achieve a simpler code to complete a
task I'm performing.
here is an example:
dat<-expand.grid(a=seq(1,5),b=seq(1000,1005))
I want to add a new column dat$c in that:
t1<-ifelse(dat$a==1&dat$b==1001,1001,0)
t2<-ifelse(dat$a==2&dat$b==1002,1001,0)
t3<-ifelse(dat$a==3&da
Hi, Henrik:
Several functions, e.g., "grep", "sub", "gsub", and "regexpr", have
an argument "perl", FALSE by default. Moreover, "?regexp" has a section
on "Perl Regular Expressions". If you can do it in perl, might that
transfer to "gsub(..., perl=TRUE)"?
Thanks,
On Mon, 27 Jun 2005, Young Cho wrote:
> Thanks for the reply. I created a new dataframe and ran step on it. But,
> still it does not work.
>
> > detach(dat)
> > attach(ds)
> > dat <- ds[,sapply(ds,nlevels)>=2]
> > dat$Y <- Response
> > detach(ds)
> > attach(dat)
> > fmla <- as.formula(paste(" ~
Thanks for the reply. I created a new dataframe and ran step on it. But, still
it does not work.
> detach(dat)
> attach(ds)
> dat <- ds[,sapply(ds,nlevels)>=2]
> dat$Y <- Response
> detach(ds)
> attach(dat)
> fmla <- as.formula(paste(" ~
> ",paste(collist1[sapply(ds,nlevels)>=2],collapse="+"))
Spencer Graves wrote:
> Thanks, Dirk, Gabor, Eric:
>
> You all provided appropriate solutions for the stated problem.
> Sadly, I oversimplified the problem I was trying to solve: I copy a
> character string giving a DOS path from MS Windows Explorer into an R
> script file, and
Hello all,
I need some help with linear modeling and making predictions using my
model. What I have done is the following:
-Read my variable data into R using read.table
-Assigned the values to variable names so that each variable is a
vector from the table
-Generated my model using the lm co
Hi,
Is there a R test available that tests whether 2
hazard ratios obtained from Cox regressions on the
same patient sample by 2 different classifiers are
significantly different?
Thanks
Steve
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https://stat.ethz
I often think carefully about what I want and store only that. For
example, I might do something like the following:
b1 <- coef(lme(...))
kb <- length(b1)
B <- array(NA, dim=c(nb, kb))
for(i in 1:nb){
B[i, ] <- coef(lme(...))
Thanks, Dirk, Gabor, Eric:
You all provided appropriate solutions for the stated problem.
Sadly, I oversimplified the problem I was trying to solve: I copy a
character string giving a DOS path from MS Windows Explorer into an R
script file, and I get something like the foll
That's the first time I have heard ß called an umlaut!
This sounds like an encoding problem, perhaps using Latin-1 in a UTF-8
locale or vice versa. In particular, R 2.0.1 (there is no 2.01) is out of
date and has far less support for non-English locales than 2.1.1, and none
for UTF-8 locales
Hi, I think this is a problem solved but I would be interested to know
if there is some good reason why SSlogis() behaves like this (apologies
if this has been noticed before- I'm not confident my archive searches
were effective):
I have been fitting large numbers of regressions using nls with a
s
I do not know about details of numerical accuracy of R, it is probable
related to numerical accuracy of C compiler that was used to compile it (gcc
?).
However I would like to mention that I run into some problems with accuracy
of sum and cumsum functions. See:
> x = c(1, 1e20, 1e40, -1e40,
You might consider bwplot() in the lattice package instead. For example:
mydata <- data.frame(Y = rnorm(3*1000),
INDFACT =rep(c("A", "B", "C"), each=1000),
CLUSFACT=factor(rep(c("M","F"), 1500)))
library(lattice)
trellis.device(new=FALSE, col=FALSE)
b
Hi people,
I need to prove the good quality of numerical accuracy of R. Anyone knows a
paper or anything else comparing R to other statistical softwares in terms of
numerical accuracy.
I've made a long search about that but I found nothing. Please help me!!
Thanx,
Talita Leite
-
-BEGIN PGP SIGNED MESSAGE-
Hash: SHA1
Hello,
I am running R 2.01 on SuSE 9.2 and I use GNU-Emacs and ESS.
When using umlauts like ä ö ü ß for e.g. plot titles , I enter them
directly in the code, like
plot(seq(from=-4,to=4,length=100),dnorm(seq(from=-4,to=4,length=100)),main="Gauß-Verteil
Hello,
Is there a way to obtain clustered boxplots similar to the
ones provided by SPSS? I have a dependent variable (y axis),
an independent factor (which I intend to represent with
different colors, no help needed here) and a grouping factor
for the clusters (which I don´t know how to display) I
JEB Halliday wrote:
> Hi there
>
> I have created a multivariate logistic regression model looking at the
> presence/absence of disease on farms. I would like to plot the diagnostic
> plots recommended by Hosmer & Lemeshow to look particularly for any points of
> high influence. In order to do t
Hi
Could any one tell me how can I apply PCA for Affy data.
i have used prcomp but I get following error:
Error in colMeans(x, n, prod(dn), na.rm) :
invalid value of n
Thanks
Saeedeh
-
[[alternative HTML version deleted]]
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Vivek,
I certainly would agree that every help page, including the one of
svm(), could be improved, but I think it is not _that_ deficient. In
particular, it tells you which parameters are used in the various
kernels available.
Have you read the corresponding article in R News (basically contain
On Mon, 27 Jun 2005 [EMAIL PROTECTED] wrote:
> in an LDA analysis with n groups n-1 LD functions result. Implicitly this
> defines an LD fucntion for the last group. Does there exist code already
> to explictly construct this LD function?
What `LDA analysis' are our discussing here? (LDA is usua
Dear all,
in an LDA analysis with n groups n-1 LD functions result. Implicitly this
defines an LD fucntion for the last group. Does there exist code already
to explictly construct this LD function?
Thanks, Stefan
__
R-help@stat.math.ethz.ch mailing lis
> On Sun, 26 Jun 2005 11:36:14 -0700 (PDT),
> Mikkel Grum (MG) wrote:
> When I try the following code with the Windows
> graphics window, a new window is opened for each
> multiple of four images I produce.
> par(layout(matrix(c(1,2,3,4), 2, 2, byrow = TRUE)),
> mar = c(2, 3, 2,
Marco Zucchelli wrote:
> Hi,
>
> I need to display several plots and I wonder if it is possible to create a
> graphic window with tabs so that the plots can be scrolled clicking on the
> tabs
You don't say what platform you're working on. On Windows, the standard
graphics driver doesn't supp
At 11:12 26/06/05, pir2.jv wrote:
>Ma première question: puis-je écrire en français, mon anglais est
>pire que pire. J'essaie en français; sinon, j'essaierai une traduction!
>
>Je sduis débutant. Ma question est donc simple, j'imagine.
I think ?merge is your friend here.
>Je travaille sur des tab
Hi there
I have created a multivariate logistic regression model looking at the
presence/absence of disease on farms. I would like to plot the diagnostic
plots recommended by Hosmer & Lemeshow to look particularly for any points of
high influence. In order to do this I need to extract values fo
Hi,
I need to display several plots and I wonder if it is possible to create a
graphic window with tabs so that the plots can be scrolled clicking on the tabs
Best regards
Marco
[[alternative HTML version deleted]]
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R-help@stat.math.et
Gabor Grothendieck <[EMAIL PROTECTED]> writes:
> On 6/26/05, Tudor Bodea <[EMAIL PROTECTED]> wrote:
> > Dear useRs,
> >
> > Is there a way to convert a list generated by "by" command into a data
> > frame?
>
> Here is an example which creates a by object whose elements
> are the first row of ea
On Mon, 27 Jun 2005, Göran Broström wrote:
On Sun, Jun 26, 2005 at 11:28:04PM +0100, Prof Brian Ripley wrote:
Here gamma is the usual gamma function, see ?gamma. (I notice in the R
documentation of the Weibull distribution that "E(X) = b Gamma(1+1/a)",
which is an error; the G should be g (lowe
You have actually used chisq.test to test independence of the cross
tabulation of x and y as factors, a table with 1 on the diagonal and 0
elsewhere. I doubt this was your intention, but unfortunately you have
not told us your actual intention.
Perhaps you intended y to be the expected values,
hi,
i am really sorry to ask this on the list, but i havent been able to
find anything on this topic.
i would like to know how the various parameters in the svm function
call in library e1071 work. all the literature that i was able to find
on the internet have been on the mathematics and derivat
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