[R] Dataframe modification
Hello, I have a problem and wish if anybody have a quick solution or function or if this question was asked before and you could give me the date to look in the archives for the response. My problem is that I have a dataframe D[663,40] with only one column with repeated values lines and a factor with 4 levels. I want to reorganize my dataframe, create a dataframe D1[x,40*4] and put the repeated values in one line so that all the factors will be in columns. For the values with a missing level factor I want to keep empty the concerning place. For example if i a have this dataframe: A B C 32 a 14 32 b 22 55 a 44 55 b 77 55 c 55 55 d 44 83 c 77 83 d 55 83 e 44 I want to transform it to have this one: 32 a 14 b 22 55 a 44 b 77 c 55 83 c 77 d 55 e 44 Thanks best regards __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
[R] Problem with installation under R 1.7.1 and unzip
Thanks a lot professor,
but no in fact it is like you've said c:\Program Files\R\rw1071\Rwork is my Working
directory = C:\Program Files\R\rw1071\Rwork, i am in fact using the functions you've
gave me to know what is happening with me because with R 1.6.2 i could install my
packages with no problem like that, and i didn't change anything after uninstalling R
1.6.2 and installing R 1.7.1 (except of course in the propreties of R 1.7.2 Shortcut)
zip.unpack(sma,dirperm)
[1] 1
attr(,extracted)
character(0)
Warning message:
error 1 in extracting from zip file
options(unzip)
$unzip
[1] internal
and this is what i got after the error message of packages installation
traceback()
9: zip.unpack(pkg, tmpDir)
8: unpackPkg(foundpkgs[okp, 2], pkgnames[okp], lib, installWithVers)
7: install.packages(select.list(a[, 1], , TRUE), .libPaths()[1],
available = a, CRAN = getOption(BIOC))
6: eval(expr, envir, enclos)
5: eval(quote({
a - CRAN.packages(CRAN = getOption(BIOC))
install.packages(select.list(a[, 1], , TRUE), .libPaths()[1],
available = a, CRAN = getOption(BIOC))
}), new.env())
4: eval(expr, envir, enclos)
3: eval(expr, p)
2: eval.parent(substitute(eval(quote(expr), envir)))
1: local({
a - CRAN.packages(CRAN = getOption(BIOC))
install.packages(select.list(a[, 1], , TRUE), .libPaths()[1],
available = a, CRAN = getOption(BIOC))
})
thanks again
Ramzi
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Re: [R] Code for Support Vector Clustering Algorithm
No comment, svm package:e1071 R Documentation Support Vector Machines Description: `svm' is used to train a support vector machine. It can be used to carry out general regression and classification (of nu and epsilon-type), as well as density-estimation. A formula interface is provided. David Meyer [EMAIL PROTECTED] wrote: On 2003.06.12 09:15, Uwe Ligges wrote: Iouri Tipenko wrote: Dear R-Users, I'm a master student in Mathematics and Statistics at Carleton University, Ottawa, Canada. I'm studying Clustering methods including different related algorithms. One of them is Support Vector Clustering algorithm. I was wondering whether anybody implemented this algorithm and could help me with the S-Plus or R computer code that I could use in my simulations. I would really appreciate your help or any advise on where I can get this code. There is an implementation of Support Vector Machines in package e1071, which is available on CRAN. ...but it does not include Support Vector *clustering*. David __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help - [[alternate HTML version deleted]] __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
RE: [R] Basic question on applying a function to each row of a dataframe
Another another neat way is:
DF - data.frame(x=1:4, y=rep(1,4))
foo - function(z,x,y)z[x]+z[y]
apply(DF,1,foo,x=x,y=y)
1 2 3 4
2 3 4 5
or
DF - data.frame(x=1:4, y=rep(1,4))
foo - function(z)z-x+y
foo(DF)
[1] 2 3 4 5
Liaw, Andy [EMAIL PROTECTED] wrote:
Another neat way is:
with(DF, foo(x, w))
HTH,
Andy
-Original Message-
From: peter leonard [mailto:[EMAIL PROTECTED]
Sent: Sunday, June 08, 2003 4:35 PM
To: [EMAIL PROTECTED]
Subject: [R] Basic question on applying a function to each row of a
dataframe
Hi,
I have a function foo(x,y) and a dataframe, DF, comprised of
two vectors, x
w, as follows :
x w
1 1 1
2 2 1
3 3 1
4 4 1
etc
I would like to apply the function foo to each 'pair' within DF e.g
foo(1,1), foo(2,1), foo(3,1) etc
I have tried
apply(DF,foo)
apply(DF[,],foo)
apply(DF[DF$x,DF$w],foo)
However, none of the above worked. Can anyone help ?
Thanks in advance,
Peter
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[R] Loops question
Hello Mr Ripley,
i was waiting you to ask and if you don't mind if there is a fast way in R to do these
loops made with R and that takes a week because my matrix is with thousand of rows.
I got another method that is more fast and is utilised by many packages : interfacing
with other languages, but it is only a question for information
foo-function()
{for (i in 1:(n-1)){
for (k in (i+1):n){
b_0
for (j in 1:m){
if(bin[i,j]==TRUEbin[k,j]==TRUE) b_b+1}
print (b)
}
}
}
Thanks a lot
Ramzi
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[R] Memory size of R
Hi all, anybody know how much can the memory size of R be settled?ThxRamzi - [[alternate HTML version deleted]] __ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
