Displaying 20 results from an estimated 30000 matches similar to: "R's memory capabilities"
2013 Oct 22
2
Where is element 30?
Hi I have a vector like that
readCsvFile$V1
[1] 30 31 32 33 34 35 36 37 38 39 310 311 312 313 314 315 316 317 318
[20] 319 320 321 20 21 22 23 24 25 26 27 28 29 210 211 212 213 214 215
[39] 216 217 218 219 220 221 222 223 40 41 42 43 44 45 46 47 48 49 410
[58] 411 412 413 414 415 416 417 418 419 420 421
and I am looking to find where the number 31 is located. So I
2010 Dec 15
1
pmnorm: probabilites don't sum up to 1
Dear list member,
I struggle with the problem, why the probabilities of choosing one of
three mutually exclusive alternatives don?t sum up to 1!
Let?s assume we have three alternatives X, Y, and Z. Let?s further
assume we know their respective utilities:
uX, uY, uZ. I?m interested in calculating the probability of choosing
X, Y, and Z.
Since I assume that the alternatives are mutually
2005 Jan 03
2
Memory Efficient Methods for Building Matrix
Dear List:
I am having to build a block-diagonal matrix (vl) and am currently using
the following code.
I<-diag(sample.size)
vl<-kronecker(I,vl.mat)
This code works fine, but for large N, it is a huge memory hog. Is there
a more efficient method for constructing vl?
Thanks,
Harold
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2010 Sep 16
4
help me understand how things work.
Hello I have some strange output from R and I try to understand how R works.
Could you please help me with that?
temp <- rbind (c(10,1),c(99,98))
> temp
[,1] [,2]
[1,] 10 1
[2,] 99 98
> dist(temp)
1
2 131.6435
> sqrt(dist(temp))
1
2 11.47360
so far so good.
until the nex line: when I try to do what i did before but adding the 1/(what I
did
2011 Apr 04
3
Adjusting p values of a matrix
Dear all,
I have an n x n matrix of p-values. The matrix is symmetrical, as it
describes the "each against each" p values of correlation
coefficients.
How can I best correct the p values of the matrix? Notably, the total
number of the tests performed is n(n-1)/2, since I do not test the
correlation of each variable with itself. That means, I only want to
correct one half of the matrix,
2007 Oct 10
3
as.dist with diagonal unequal zero
Hello and sorry that I still haven?t found a solution for my problem.
I need to extract the lower and upper triangle from a square matrix
including the diagonal. This diagonal is not zero in that special case.
I tried with as.dist
w<-as.dist(w, diag = TRUE)
> w
1 2 3 4 5
1 0
2 2 0
3 3 8 0
4 4 9 14 0
5 5 10 15 20 0
but found no way to keep the diagonal that is in the
2010 Oct 11
1
running R script on linux server
Hi R-users,
I have a problem running my R code on a Linux cluster. What I did was
write a .pbs file to instruct the cluster on what to do and how:
#!/bin/sh
#PBS -m ae
#PBS -M uqlcatta@uq.edu.au
#PBS -A uq-CSER
#PBS -N job1_lollo
#PBS -l select=1:ncpus=1:NodeType=fast:mem=8GB
#PBS -l walltime=999:00:00
cd $PBS_O_WORKDIR
source /usr/share/modules/init/bash
module
2015 May 13
1
Why is the diag function so slow (for extraction)?
> From: Martin Maechler <maechler at lynne.stat.math.ethz.ch>
> diag() should not work only for pure matrices, but for all
> "matrix-like" objects for which ``the usual methods'' work, such
> as
> as.vector(.), c(.)
>
> That's why there has been the c(.) in there.
>
> You can always make code faster if you write the code so it only
>
2009 Aug 26
1
Problem with standard generic methods in Matrix package
I have posted this message on r-lang, but it is perhaps more appropriate
on r-devel:
---
Hello,
I'm puzzled by a problem with call to diag(), rowSums(), rownames() on
objects of class "dgtMatrix", created by sparseMatrix() or spMatrix().
I use Matrix 0.999375-30.
The weird thing is that I don't encounter any problem when I use this
functions on the R prompt, or
2007 Aug 30
2
Need help putting histograms on the diagonal of a splom plot
Hello,
I am in need of help in putting histograms on the diagonal of a plot
produced with splom().
The plot matrix I am trying to produce is to have standard scatterplots
in the upper-left triangle, contour plots in the lower-right triangle,
and histograms on the diagonal. I have a function that does the first
two, but the histograms on the diagonal has been beyond my ability.
Here is my
2011 May 09
3
Recursive Indexing Failed
Dear all,
I would like to ask your help concerning an error message I get.
I have the following struct
str(CRagentInTime[[1]])
List of 2
$ timelag: int 0
$ CRagent:List of 50
..$ :List of 3
.. ..$ CRmap: num [1:256, 1:256] NA NA NA NA NA NA NA NA NA NA ...
.. ..$ xy : num [1:2] 10 177
.. ..$ sr : num [1:49] -94.9 -92.8 -79.5 -97.6 -78.4 ...
and I wanted to select all the sr fields
2008 Apr 12
3
Matrix Indexing
Hi
Does anyone know how I might pick out diagonal elements of a matrix using a
vector?
If I create a matrix a:
a <- matrix(c(1:16), 4, byrow=TRUE)
and I want to pick out the elements (1,1),(2,2),(3,3), or another arbitrary
diagonal (upper or lower), is there any way I can use a vector to do this?
So if I want a diagonal of size 3, I could create a vector like x <- c(0:2)
and then pick
2005 Jan 20
3
Constructing Matrices
Dear List:
I am working to construct a matrix of a particular form. For the most
part, developing the matrix is simple and is built as follows:
vl.mat<-matrix(c(0,0,0,0,0,64,0,0,0,0,64,0,0,0,0,64),nc=4)
Now to expand this matrix to be block-diagonal, I do the following:
sample.size <- 100 # number of individual students
I<- diag(sample.size)
bd.mat<-kronecker(I,vl.mat)
This
2006 Oct 03
4
how ot replace the diagonal of a matrix
Dear useRs,
Trying to replace the diagonal of a matrix is not working for me. I
want a matrix with .6 on the diag and .4 elsewhere. The following
code looks like it should work--when I lookk at mps and idx they look
how I want them too--but it only replaces the first element, not each
element on the diagonal.
mps <- matrix(rep(.4, 3*3), nrow=n, byrow=TRUE)
idx <- diag(3)
mps
idx
mps[idx]
2015 Oct 29
2
Extraer elementos diagonales de submatrices
El código que me olvide pegar
input
m <- structure(c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2,
2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3,
3, 0, 0, 0, 0, 0, 4, 4, 4, 4, 4, 0, 0, 0, 0,
0, 0, 0, 5, 5, 5), .Dim = c(10L, 5L))
m
## output
output <- c(1:3, 1:5, 1:2)
output
nfilas <- nrow(m)
while(nfilas > 0) {
diagonal <- diag(m)
2014 Aug 07
1
RFC: diag(x, n) not preserving integer and logical x
This is not at all something new(*). As maintainer of the
Matrix package, I don't like this inconsistency of base R's diag().
We have had the following -- forever, almost surely inherited
from S and S+ :
diag(x) preserves the storage mode of x for 'complex' and
'double' precision, but converts integer and logicals to double :
> storage.mode(x <- 1i + 1:7);
2003 Oct 01
4
Solving a tridiagonal system
I need to find solutions to a tridiagonal system. By
this I mean a set of linear equations Ax = d where A
is a square matrix containing elements A[i,i-1],
A[i,i] and A[i,i+1] for i in 1:nrow, and zero
elsewhere. R is probably not the ideal way to do this,
but this is part of a larger problem that requires R.
In my application it is much easier (and much faster)
to generate the diagonal and
2015 May 04
2
Why is the diag function so slow (for extraction)?
(I asked this question on StackOverflow
<http://stackoverflow.com/q/30035939/1191259> a short time ago; sorry if
you're seeing it again. Feel free to answer there as well if you like. The
code formatting and such on that site can be nice.)
I benchmarked matrix and vector subsetting to extract the diagonal of a
square matrix against the diag() function, and the latter lost by a wide
2011 Jan 20
2
splitting a square symmetric matrix
So many matrices are square symmetrical (i.e. variance-covariance matrices),
is there any way to get R to split the matrix on its diagonal and just
return one diagonal?
So if I have
mat<-matrix(c(1,4,3,4,1,2,3,2,1), nrow = 3, ncol=3, byrow=TRUE)
is there anyway to get the lower right diagonal instead of the entire
symmetric matrix?
-------------------------------------------
2011 Jul 02
1
Error when using plot in diag.panel argument of pairs
Dear Madame or Sir,I am having a problem in combining density-smoothed scatterplot matrices with a plot of kernel destiny estimations of each dimension plotted on the respective field of the diagonal.I have tried following approach using the package "sm" for the kernel density estimation, as well as "MASS" respectively:pairs(myTable[, 1:4],panel=function(x,y, ...){