Hi,
I'm trying to plot something in the following way and would like if
you could help:
I'd like in a same plot window, two plots are shown, the left one is a
bird-view plot of the whole data, the right half keep changing, i.e.,
different plots will be shown up on request, so that when I
select/c
Hi,
I have a question about using lm on matrix, have to admit it is very
trivial but I just couldn't find the answer after searched the mailing
list and other online tutorial. It would be great if you could help.
I have a matrix "trainx" of 492(rows) by 220(columns) that is my x,
and trainy is 49
try this:
dtm <- DocumentTermMatrix(examplecorpus, control = list(wordLengths=c(1,100)))
On Wed, May 16, 2012 at 6:22 AM, C.H. wrote:
> Dear All,
>
> The following code illustrate the problem.
>
> [R code]
> require(tm)
> exampledoc <- c("R is good", "R is really good")
> examplecorpus <- Corp
Hi,
I got an error when tried to install RCurl, here is what I did:
R CMD INSTALL RCurl_1.6-6.tar.gz
* installing to library ‘/home/b/R/i486-pc-linux-gnu-library/2.13’
* installing *source* package ‘RCurl’ ...
checking for curl-config... no
Cannot find curl-config
ERROR: configuration failed for
Thank you very much Thomas!
I indeed learned a lot.
Baoqiang
On Tue, 2011-05-17 at 09:46 +1200, Thomas Lumley wrote:
> }
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PLEASE do read the posting guide http://www.R-pro
Hi,
I have the following two measurements stored in mat:
> print(mat)
[,1] [,2]
[1,] -14.80976 -265.786
[2,] -14.92417 -54.724
[3,] -13.92087 -58.912
[4,] -9.11503 -115.580
[5,] -17.05970 -278.749
[6,] -25.23313 -219.513
[7,] -19.62465 -497.873
[8,] -13.92087 -659.486
[
Hi,
I have to one set of inputs and their observed true values of each
input. Now I have a model takes the input and predict a value. I only
consider the ranks based on either the observed true values or the
predicted values. My question is how do I compare this two rank in R?
That is, how close t
Hi,
I have a least square fitting problem with linear inequality
constraints. pcls seems capable of solving it so I tried it,
unfortunately, it is stuck with the following error:
> M <- list()
> M$y = Dmat[,1]
> M$X = Cmat
> M$Ain = as.matrix(Amat)
> M$bin = rep(0, dim(Amat)[1])
> M$p=qr.solve(as.
o there is a lot of
> checking to do
> to make bullet proof code that downloads files.
>
>
>
>
>
> On Tue, Nov 30, 2010 at 3:16 PM, Baoqiang Cao wrote:
>>
>> Hi Georg,
>>
>> Your code does work, I mean, it doesn't give me any error message,
>
derfunction = h$update)
h$value()[['status']]
If the status is 404, then not found. If exists then status should be 200.
"
What a productive day!
BC
On Tue, Nov 30, 2010 at 1:34 PM, Georg Ruß wrote:
> On 30/11/10 10:10:07, Baoqiang Cao wrote:
>> I'd like to down
ALSE, ftplistonly = TRUE, crlf =
> TRUE)
> filenames = paste(url, strsplit(filenames, "\r*\n")[[1]], sep = "")
> con = getCurlHandle( ftp.use.epsv = FALSE)
> contents = sapply(filenames[1:5], getURL, curl = con)
> names(contents) = filenames[1:length(contents)]
&g
coerced into a data.frame that will look like a directory structure
> listing the file names.
>
> If you need code just ask, but the RCurl docs are pretty good.
>
>
>
> On Tue, Nov 30, 2010 at 8:10 AM, Baoqiang Cao wrote:
>>
>> Hi,
>>
>> I'd l
Hi,
I'd like to download some data files from a remote server, the problem
here is that some of the files actually don't exist, which I don't
know before try. Just wondering if a function in R could tell me if a
file exists on a remote server? I searched this mailing list and after
read severals m
Hi R-helpers,
I'm extracting data from an public server, since there is a restriction
such that I have to submit my entries one by one (I have 10^5 entries).
I partially succeeded with using
tf <- open(url, "r")
if(isOpen(tf, "r")) {readLines(tf)}
close(tf)
Some entries successfully were ret
Hi there,
I'm having a problem with as.dist when I tried to convert a numerical
matrix to dist. The data matrix is 10^4 by 10^4. I got the following:
d <- as.dist(dat)
Error: cannot allocate vector of size 762.9Mb
I need convert "dat" to dist because I will use hclust to do some
clustering a
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