Displaying 20 results from an estimated 11000 matches similar to: "Loading SparseM on Win2K"
2006 Feb 20
2
Matrix / SparseM conflict (PR#8618)
Full_Name: David Pleydell
Version: 2.2.1
OS: Debian Etch
Submission from: (NULL) (193.55.70.206)
There appears to be a conflict between the chol functions from the Matrix and
the SparseM packages. chol() can only be applied to a matrix of class dspMatrix
if SparseM is not in the path.
with gratitude
David
> library(Matrix)
> sm <- as(as(Matrix(diag(5) + 1), "dsyMatrix"),
2008 Aug 27
1
SparseM
Hello,
I am trying to load the package SparseM. It seems that I have successfully
installed SparseM (version 0.78), but I did not succeed in loading the
SparseM package into R 2.7. Does anybody know a trick for loading
SparseM?
Thanks in advance,
Heike
> library(SparseM,lib.loc=my.lib.loc)
Error in packageDescription(pkg)$Version :
$ operator is invalid for atomic vectors
In addition:
2004 May 12
1
Problem installing SparseM on Debian stable
I have troubles installing the "SparseM" package on my Debian stable
Linux system.
Debian's version of R is:
platform i386-pc-linux-gnu
arch i386
os linux-gnu
system i386, linux-gnu
status
major 1
minor 5.1
year 2002
month 06
day 17
language R
This is the installation output:
> R CMD INSTALL -l /usr/lib/R/ SparseM_0.36.tar.gz
* Installing
2007 Jul 08
1
Problems with e1071 and SparseM
Hello all,
I am trying to use the "svm" method provided by e1071 (Version: 1.5-16)
together with a matrix provided by the SparseM package (Version: 0.73)
but it fails with this message:
> model <- svm(lm, lv, scale = TRUE, type = 'C-classification', kernel =
'linear')
Error in t.default(x) : argument is not a matrix
although lm was created before with
2012 Apr 25
1
trouble installing SparseM
Dear R People:
I am attempting to install SparseM on R 2.15.0 on a Linux 11.10 system.
Here is the output
> install.packages("SparseM",depen=TRUE)
Installing package(s) into ?/home/erin/R/x86_64-pc-linux-gnu-library/2.15?
(as ?lib? is unspecified)
--- Please select a CRAN mirror for use in this session ---
Loading Tcl/Tk interface ... done
trying URL
2012 Aug 24
2
SparseM buglet
read.matrix.csr does not close the connection:
> library('SparseM')
Package SparseM (0.96) loaded.
> read.matrix.csr(foo)
...
Warning message:
closing unused connection 3 (foo)
>
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2004 Jun 25
2
Matrix: Help with syntax and comparison with SparseM
Hi,
I am writing some basic smoothers in R for cleaning some spectral data.
I wanted to see if I could get close to matlab for speed, so I was
trying to compare SparseM
with Matrix to see which could do the choleski decomposition the
fastest.
Here is the function using SparseM
difsm <- function(y, lambda, d){
# Smoothing with a finite difference penalty
# y: signal to be smoothed
#
2004 Jun 18
1
Initializing SparseM matrix matrix.csc
Hi!
Would like to initialize a huge matrix.csc (Pacakge SparseM) with all elements 0
and afterwards set a few alements nonzero.
The matrix which I like to allocate is so huge that I can not use
A <- matrix(a,n1,p)
before:
A.csr <- as.matrix.csc(A)
because I can not allocate such a huge matrix A.
But I believe that the much more memmory efficient model in case of csc matrix should do it for
2007 Aug 01
1
Predict using SparseM.slm
Hi,
I am trying out the SparseM package and had the a
question. The following piece of code works fine:
...
fit = slm(model, data = trainData, weights = weight)
...
But how do I use the fit object to predict the values
on say a reserved testDataSet? In the regular lm
function I would do something like this:
predict.lm(fit,testDataSet)
Thanks
-Bala
2009 Aug 14
1
large matrices in SparseM
Hi there,
I'm having a problem when trying to create a large matrix (1,000,000 x
1,000,000) of the .csr type (package 'SparseM').
> k <- rep(0,1000000)
> tmp <- length(k)
> tmp2 <- as.matrix.csr(0,tmp,tmp)
Error in if (length(x) == nrow * ncol) x <- matrix(x, nrow, ncol) else { :
missing value where TRUE/FALSE needed
Warning message:
In nrow * ncol : NAs
2010 Jan 11
2
sparseM and kronecker product_R latest version
Dear all,
I just installed the new version of R, 2.10.1, and I am currently
using the package sparseM. (I also use a 64 bit windows version)
I got a problem that I never had: when I try to multiply with a
kronecker product (%x%) two sparse matrixes I get the following
message:
Error in dim(x) <- length(x) : invalid first argument
I never had this problem with previous versions of R.
May
2007 May 21
0
quantreg and sparseM will not load
I have recently started using R and want to use the quantreg (and
sparseM) packages.
I downloaded the .tar files for each, and placed the subsequent
folders into the library folder in the frameworks/R.framework/
resources/library folder with all the other packages.
When I try to load either package from the package manager window I get:
Loading required package: SparseM
Error in
2002 Aug 12
1
set.seed
I'm running into problems with set.seed--maybe I'm misunderstanding
something.
I'm running R 1.5.1 on Windows 2000.
I'm basically trying to capture the random seed so that I can reproduce a
simulation if it's necessary later. Using set.seed, I can certainly get
reproducible results, but not the results I get on the first pass. Here's
an example:
# Generate a random
2006 Oct 12
2
Problem loading SpareM package
Hi,
I have just installed R 2.4.0 and when I try to load SpareseM, I get the following error message
library(SparseM)
Package SparseM (0.71) loaded. To cite, see citation("SparseM")
Error in loadNamespace(package, c(which.lib.loc, lib.loc), keep.source = keep.source) :
in 'SparseM' methods specified for export, but none defined: as.matrix.csr, as.matrix.csc,
2005 Sep 01
1
More block diagonal matrix construction code
Folks:
In answer to a query, Andy Liaw recently submitted some code to construct a
block diagonal matrix. For what seemed a fairly straightforward task, the
code seemed a little "overweight" to me (that's an American stock analyst's
term, btw), so I came up with a slightly cleaner version (with help from
Andy):
bdiag<-function(...){
mlist<-list(...)
## handle case in
2013 Feb 06
3
how to "multiply" list of matrices by list of vectors
Hi everyone,
I'd like to be able to apply lda to each 2D matrix slice of a 3D array, and
then use the scalings to obtain the corresponding lda scores.
I can use 'apply' to get a list of the lda output for each 2D slice, and
can create a list of the resulting scalings, but I'm not sure how to
multiply them in a vectorized way.
Here's how I made a list of 2D matrices
2013 May 07
0
How to use "SparseM-conversions" to convert a dCgMatrix into a matrix.csr ?
Hi all,
I want to transform a dCgMatrix from package Matrix into a matrix.csr from
package SparseM, and I found out this link :
http://stat.ethz.ch/R-manual/R-devel/library/Matrix/html/SparseM-conv.html
But there's no informaion about usage/description/arguments, so how do I
use this SparseM-conversions method ?? Is it a function ??
By the way I already tried function: as.spam.matrix.csr
2004 Nov 18
1
Method dispatch S3/S4 through optimize()
I have been running into difficulties with dispatching on an S4 class
defined in the SparseM package, when the method calls are inside a
function passed as the f= argument to optimize() in functions in the spdep
package. The S4 methods are typically defined as:
setMethod("det","matrix.csr", function(x, ...) det(chol(x))^2)
that is within setMethod() rather than by name before
2001 Sep 26
2
Forcing a refresh in R for Windows
System: Windows NT 4.0 450 MHz Pentium II, R version 1.3.0 (will upgrade
soon).
Is there some way to force the command-line interface to print information
to the screen before evaluating the next expression? For example, if I put
the following in a file:
cat("Select a file\n")
filename <- file.choose()
and source the file, I don't see the instruction "Select a file"
2001 Sep 19
1
X-axis with POSIXct dates
I have a series of datasets, each containing pH measurements and
manufacturing dates, and each dataset pertains to a different manufactured
product. I'm trying to create a series of plots of pH measurements by
date, but the default X-axis labeling behavior is not giving adequate
results in this particular case, and I can't figure out how to persuade R
to come up with something more