This is clearly a compiler configuration error, not an R error. I note
that you have c:\Rtools\MinGW\libexec\gcc\mingw32\3.4.5 in your path,
which is *not* part of the instructions for R 2.6.0. Please try again
without it.
On Sat, 3 Nov 2007, McKay Curtis wrote:
> Hello,
>
> I am trying to c
Hi R Gurus!
When creating a matrix, is it better to use the structure function or
the matrix function, please?
Thanks,
Edna Bell
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R-help@r-project.org mailing list
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PLEASE do read the posting guide http://w
Hi everyone,
I am trying to install R-2.6 over my 2.5.1 installation on Mac OS X
10.5.
R version 2.5.1 (2007-06-27)
I double-click the installer package,
1) Click Continue
2) Click Continue
3) Click Continue + Click Agree
On the "Installation Type" dialog screen, all four options are grayed
Matthew,
Did you take a look at the R.huge package? It works well with numerical
data.
If you describe the problem you're trying to solve in more detail, it may
help us give you a better solution.
Btw, we use the filehash package with great success in accessing very large
amounts of data.
Best
Hello,
I am trying to compile C code using the R CMD SHLIB command. I get this error:
> R CMD SHLIB gibbs.c
making gibbs.d from gibbs.c
gibbs.c:0: error: bad value (generic) for -mtune= switch
make: [gibbs.d] Error 1 (ignored)
cat: gibbs.d: No such file or directory
make: [makeMakedeps] Error 1
I am trying to install two packages that are not available at CRAN
(rmutil, dna). When trying the R CMD INSTALL with either file, I get
an error message that ends with
/usr/libexec/gcc/i686-apple-darwin8/4.0.1/libtool: can't locate file
for: -lgfortran
/usr/libexec/gcc/i686-apple-darwin8/4
Jorge Manuel de Almeida Magalhães wrote:
>>
>>
>> Jorge Manuel de Almeida Magalhães wrote:
>>> Dear Sirs
>>>
>>> What is the best aproximation to the standardized normal distribution:
>>>
>>>
>> How about
>>
>> http://www.statsci.org/s/qres.html
>>
>> (which gives S-PLUS code: haven't checked to s
Hi all, I have a question, are there any R-help list in spanish or
forus, and which is its subscribe adress ...?
Thanks Horacio.
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http://www.omegahat.org/RSPerl/
--
Andrew J Perrin - andrew_perrin (at) unc.edu - http://perrin.socsci.unc.edu
Associate Professor of Sociology; Book Review Editor, _Social Forces_
University of North Carolina - CB#3210, Chapel Hi
Hi
can anyone recommend a perl module that I can use to run R?
Stephen
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and provide commented,
Dear R users;
I've been trying to fit the following set of data using something like
the sum of two functions (biphasic function) but without success. I'd
like to know if anybody can suggest a better or appropriate
expectation function to use. Here is the data:
x=c(298.15,308.15,318.15,328.15,338
Dear:
I want to construct a gee model in R. When I ran the program, there was a
warning in the output.
The warning is "Beginning Cgee S-function, @(#) geeformula.q 4.13 98/01/27
gee(cbind(hyper, nohyper) ~ I(Ethnic) + I(Gender) +
I(drink) + :
This is a general statistics question so I'm sorry if its outside the field of
r help.
Anyway, I have a suite of female and male traits and I have made a matrix of
correlation coefficients using rcorr(). This results in a 6 by 6 matrix like
this..
[1] 0.11287990 0.20441361 0.23837442 0.04713
>
>
>
> Jorge Manuel de Almeida Magalhães wrote:
>>
>> Dear Sirs
>>
>> What is the best aproximation to the standardized normal distribution:
>>
>>
>
> How about
>
> http://www.statsci.org/s/qres.html
>
> (which gives S-PLUS code: haven't checked to see if it works in R
> or not, but it looks lik
Apologies for the cross-posting...
Computational statisticians
The Biometrics Research Department at Merck Research Laboratories, Merck
& Co., Inc. in Rahway, NJ is seeking highly motivated statisticians/data
analysts (2 positions) to work in its basic research and drug discovery
area. The appli
Jorge Manuel de Almeida Magalhães wrote:
>
> Dear Sirs
>
> What is the best aproximation to the standardized normal distribution:
>
>
How about
http://www.statsci.org/s/qres.html
(which gives S-PLUS code: haven't checked to see if it works in R
or not, but it looks like it probably will
Dear Sirs
What is the best aproximation to the standardized normal distribution:
necessidade = c("sem necessidade","com necessidade")
tipo =c("CE-1", "CE-2", "CE-3")
dados=c(20,34,44,69,9,3)
Tabela =cbind(expand.grid(list(Necessidade=necessidade, Tipo=tipo)),
count=dados)
Tabela.array=tapp
Dear Sirs
What is the best aproximation to the standardized normal distribution:
necessidade = c("sem necessidade","com necessidade")
tipo =c("CE-1", "CE-2", "CE-3")
dados=c(20,34,44,69,9,3)
Tabela =cbind(expand.grid(list(Necessidade=necessidade, Tipo=tipo)),
count=dados)
Tabela.array=tapp
> From: [EMAIL PROTECTED]
> To: [EMAIL PROTECTED]
> Date: Sat, 3 Nov 2007 09:03:39 +0100 (CET)
> Subject: [R] R validation
> Dear R-Users,
>
> A message to continue the discussions we had in March and June. I have
> read the documents written since then
> (http://www.r-project.org/doc/R-FDA.pdf ;
>
threshold said the following on 11/3/2007 4:41 AM:
> Hi, my problem belongs to the basic ones. I want to get cumulated sum over
> the matrix columns by one command (if such exists). Ordinary R's cumsum(x)
> when x is:
> [,1] [,2]
> [1,]15
> [2,]26
> [3,]37
> [4,]4
Hi, my problem belongs to the basic ones. I want to get cumulated sum over
the matrix columns by one command (if such exists). Ordinary R's cumsum(x)
when x is:
[,1] [,2]
[1,]15
[2,]26
[3,]37
[4,]48
yields: 1 3 6 10 15 21 28 36
I want:
[,1] [,2]
[1,]
maybe you need this
q<-matrix(1:60,20,3)
matrix(q,10,6)
matrix(q,5,12)
2007/10/29, Weiwei Shi <[EMAIL PROTECTED]>:
> hi,
>
> if I have 20 x 3 data.frame, how to split it into
> 10 x 6 (moving the lower part of 10x3 to column)
>
> or
>
> 5 x 12
>
> thanks
>
> --
> Weiwei Shi, Ph.D
> Research Sc
Dear R-Users,
A message to continue the discussions we had in March and June. I have
read the documents written since then
(http://www.r-project.org/doc/R-FDA.pdf ;
http://user2007.org/program/presentations/harrell.pdf ;
http://user2007.org/program/presentations/rossini.pdf ;
http://user2007.org/p
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