Hi all.
I am having problems with inheritance in reference class, here is a small
example:
Myclass = setRefClass(Myclass,
fields = list(
fa = numeric,
fb = numeric,
filename = character,
Dear list,
I am trying to compile R on a 64-bit Ubuntu 13.04 machine and get the
following error:
make[2]: Entering directory
`/home/kaiyin/opt/R-2.15.0/src/library/Recommended'
begin installing recommended package MASS
Error in untar2(tarfile, files, list, exdir) : incomplete block on file
Hi, dear list.
I found that hclust causes segfault in R 3.0.1, here is the code after
starting R --vanilla:
test.data - function(dim, num, seed=17) {
set.seed(seed)
matrix(rnorm(dim * num), nrow=num)
}
m - test.data(120, 45)
library(rpud) # load rpud with rpudplus
d -
Dear list,
According to this presentation (
http://www.rinfinance.com/agenda/2010/MarkSeligman_Tutorial.pdf), gpuHclust
in the gputools package should be about 20x faster than clust, but after
some testing, I find it actually 4x slower. Here is the code:
test.data - function(dim, num, seed=17) {
error: could not find function predR
Best regards,
Kaiyin ZHONG
--
FMB, Erasmus MC
k.zh...@erasmusmc.nl
kindlych...@gmail.com
On Tue, Apr 23, 2013 at 3:44 PM, Uwe Ligges lig...@statistik.tu-dortmund.de
wrote:
On 23.04.2013 15:00, Kaiyin Zhong (Victor Chung
...@erasmusmc.nl
kindlych...@gmail.com
On Tue, Apr 23, 2013 at 3:44 PM, Uwe Ligges
lig...@statistik.tu-dortmund.de
wrote:
On 23.04.2013 15:00, Kaiyin Zhong (Victor Chung) wrote:
Thanks for the reply.
How can i make the functions known to all nodes?
See ?clusterEvalQ
you
.
Best regards,
Kaiyin ZHONG
--
FMB, Erasmus MC
k.zh...@erasmusmc.nl
kindlych...@gmail.com
On Mon, Apr 29, 2013 at 8:26 PM, Duncan Murdoch murdoch.dun...@gmail.comwrote:
On 29/04/2013 2:16 PM, Kaiyin Zhong (Victor Chung) wrote:
Hi, Uwe.
I still don't get how
:11, Kaiyin Zhong (Victor Chung) wrote:
Here is the code, assuming 8 cores in the cpu.
library('modeest')
library('snow')
cl = makeCluster(rep('localhost', 8), 'SOCK')
x = vector(length=50)
x = sapply(x, function(i) i=sample(c(1,0), 1))
pastK = function(n, x, k) {
if (nk) { return(x
Dear all,
I found a strange thing with the snow package.
This will work:
y = matrix(1:4, 2)
cl = makeCluster(rep('localhost', 8), type='SOCK')
parMM(cl, y, y)
This will not:
y = matrix(1:4, 2)
ncore = system('nproc')
parMM(cl, y, y)
Error in cut.default(i, breaks) : invalid number of intervals
Here is the code, assuming 8 cores in the cpu.
library('modeest')
library('snow')
cl = makeCluster(rep('localhost', 8), 'SOCK')
x = vector(length=50)
x = sapply(x, function(i) i=sample(c(1,0), 1))
pastK = function(n, x, k) {
if (nk) { return(x[(n-k):(n-1)]) }
else {return(NA)}
}
predR
Best wishes,
Jon
On 18-Apr-13 10:52, Kaiyin Zhong (Victor Chung) wrote:
Dear all,
I found a strange thing with the snow package.
This will work:
y = matrix(1:4, 2)
cl = makeCluster(rep('localhost', 8), type='SOCK')
parMM(cl, y, y)
This will not:
y = matrix(1:4, 2)
ncore = system
# the result is printed, not returned
Best wishes,
Jon
On 18-Apr-13 10:52, Kaiyin Zhong (Victor Chung) wrote:
Dear all,
I found a strange thing with the snow package.
This will work:
y = matrix(1:4, 2)
cl = makeCluster(rep('localhost', 8), type='SOCK')
parMM(cl, y, y)
This will not:
y
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