Displaying 20 results from an estimated 3000 matches similar to: "Using match.arg() with list of functions?"
2005 Oct 05
1
(no subject)
hi all
why does the following not work???
this was someone elses code and i couldnt explain why it doesn't work.
m=matrix(c(0,0),2,1)
v=matrix(c(1,0,0,1),2,2)
Y=function(X1,X2,mu=m,V=v)
{
X=matrix(c(X1,X2),2,1)
a=(1/((2*pi)*sqrt(det(V))))*exp((-0.5)*(t(X-mu)%*%solve(V)%*%(X-mu)))
a[1]
}
x1=seq(-1,1)
x2=x1
Z=outer(x1,x2,FUN="Y",mu=m,V=v)
persp(x1,x2,Z)
my code:
2000 Nov 28
2
No subject
I have a problem compiling openssh 2.3.0p1
The configure script runs fine then if you see below; when I compile it
dies:
Manual pages: /usr/local/man/manX
PID file: /usr/local/etc
Random number collection: Builtin (timeout 200)
Manpage format: man
PAM support: yes
KerberosIV support: no
2010 Aug 25
3
What does this warning message (from optim function) mean?
Hi R users,
I am trying to use the optim function to maximize a likelihood funciton, and
I got the following warning messages.
Could anyone explain to me what messege 31 means exactly? Is it a cause for
concern?
Since the value of convergence turns out to be zero, it means that the
converging is successful, right?
So can I assume that the parameter estimates generated thereafter are
reliable MLE
2009 Oct 19
1
overloading base function
Hello,
I am trying to write an R package for doing analysis of speaker
recognition systems. The big thing in this line of research is a
DET-plot (detection Error Trade-off, a ROC plot with qnorm() warped
axes). My approach has been to make a class "det" and also a
function "det()" that will prepare the data into the right class.
Now loading the library doesn't like me
2011 Dec 05
1
finding interpolated values along an empirical parametric curve
Given the following data, I am plotting log.det ~ norm.beta, where the
points depend on a parameter, lambda
(but there is no functional form).
I want to find the (x,y) positions along this curve corresponding to two
special values of lambda
lambda.HKB <- 0.004275357
lambda.LW <- 0.03229531
and draw reference lines at ~ -45 degrees (or normal to the curve) thru
these points.
How can I do
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
2010 Apr 13
1
Lapack, determinant, multivariate normal density, solution to linear system, C language
r-devel list,
I have recently written an R package that solves a linear least squares
problem, and computes the multivariate normal density function. The bulk
of the code is written in C, with interfacing code to the BLAS and
Lapack libraries. The motivation here is speed. I ran into a problem
computing the determinant of a symmetric matrix in packed storage.
Apparently, there are no explicit
2022 Nov 09
1
det(diag(c(NaN, 1))) should be NaN, not 0
Hello,
Currently, determinant(A) calculates the determinant of 'A' by factorizing
A=LU and computing prod(diag(U)) [or the logarithm of the absolute value].
The factorization is done by LAPACK routine DGETRF, which gives a status
code INFO, documented [1] as follows:
*> INFO is INTEGER
*> = 0: successful exit
*> < 0: if INFO = -i, the i-th
2003 Oct 07
1
(PR#4450)
Hello,
When I use det() and qr() on complex matrices the result is in some cases indeterministic. The documentation speaks of numeric matrices (and not of complex matrices) but det() uses qr() which should handle complex matrices correctly. I've also tried using only qr() with
similar results. det() returns a value that is not the determinant of the complex matrix (in accordance with
2002 Apr 26
1
optim or nlm with matrices
Hi,
I have the following hypothetical optimization problem:
-det(t(x-A%*%x1)%*%(x-A%*%x1))
where A,x,x1 are matrices. A coefficients and x and x1 are variable matrices or vectors.
I tried to apply optim and nlm functions but I kept receive the following massage:
Error in A%*%x1 : non-conformable arguments.
The massage appears even the -det() can be calculated and the dimensions are checked.
here
2007 Jun 01
1
Determinant function (PR#9715)
Full_Name: Krzysztof Podgorski
Version: R version 2.4.1 (2006-12-18)
OS: Windows XP
Submission from: (NULL) (130.235.3.79)
The function ''det'' works improperly for a singular matrix and returns a
non-zero value even if ''solve'' reports singularity. The matrix is very simple
as shown below.
A <- diag(rep(c(64,8), c(8,8)))
A[9:16,1] <- 8
A[1,9:16] <- 8
2011 Aug 02
1
Functions for Sum of determinants of ranges of matrix subsets
Dear R-help list,
Pls I have this problem. Suppose I have a matrix of size nxn say, generated as follows
z<-matrix(rnorm(n*n,0,1),nrow=n)
I want to write a function such that for i in 1:n, I will remove the rows and columns
corresponding to i (so, will be left with n-1*n-1 submatrix in each cases). Now I need
the sum of the determinant of each of this submatrices. As an example, if n=3, it
2003 Nov 12
2
bug in det using method="qr" (PR#1244) (PR#4450)
I just detected, that det() is not working on complex matrices any more,
due to the fix to the bug reports noted above. I am not happy with this,
as determinants are perfectly usable on complex matrices.
AFAIUI the bugs resulted from less than optimal behaviour of qr() in
certain cases. IMHO this is due to the unhappy decision to use a default for
parameter tol to decide whether the the
2016 May 20
2
identical on closures
I'm confused by this:
> identical(function() {}, function() {})
[1] FALSE
Yet, after loading the Matrix package (which redefines det), the
following is checked (in library.checkConflicts):
> identical(get("det", baseenv()), get("det", asNamespace("Matrix")),
ignore.environment=T)
[1] TRUE
I've looked at the code in identical.c and for closures it
2002 Jan 05
1
possible bug in det using method="qr" (PR#1244)
Full_Name: Armin Roehrl
Version: 1.4.0(2001-12-19)
OS: Linux; Suse 7.3
Submission from: (NULL) (217.84.18.204)
Hello,
On a given matrix det returns different results whether
I use the method "qr" or "eivenvalues".
The matrix:
> m2
[,1] [,2] [,3]
[1,] 9.822616e+09 3.841723e+09 79790.09
[2,] 3.841723e+09 1.502536e+09 31251.82
[3,]
2004 Jun 01
2
Importing binary data
Hi everybody!
I've a large dataset, about 2 Mio entries of the format which I would like
to import into a frame:
<integer><integer><float><string><float><string><string>
Because to the huge data amount I've choosen a binary format instead
of a text format when exporting from Matlab.
My import function is attached below. It works fine for only
2017 Nov 21
2
help
I am working on Johansen cointegration test, using urca and var package.
in the selection of var, I have got following results.
>VARselect(newd, lag.max = 10,type = "none")
$selection
AIC(n) HQ(n) SC(n) FPE(n)
6 6 6 5
$criteria
1 2 3 4
5 6 7 8 9
AIC(n) -3.818646e+01 -3.864064e+01
2011 Jan 16
1
\examples{} in Rd file
[Hope this is the right list where to send...]
An attempt to update package 'mnormt' involves the addition of a
small new function called 'pd.solve'. When I come to the package
checking stage, an error occurs in parsing pd.solve.Rd.
The full transcript of the outcome is copied below (it includes details
on my installation) but the critical point is where the \examples{}
section
2012 Dec 11
2
Catching errors from solve() with near-singular matrices
Dear all,
The background is that I'm trying to fix this bug in the geometry
package:
https://r-forge.r-project.org/tracker/index.php?func=detail&aid=1993&group_id=1149&atid=4552
Boiled down, the problem is that there exists at least one matrix X for
which det(X) != 0 and for which solve(X) fails giving the error "system
is computationally singular: reciprocal condition
2013 Jan 28
1
parse/eval and character encoded expressions: How to deal with non-encoding strings?
Hi,
I am intending to save a path-describing character object in a slot of a
class I'm working on. In order to have the option to use "system.file" etc
in such string-saved path definitions, I wrote this
ExpressionEvaluator <- function(x){
x <- tryCatch(
expr=base::parse(text=x),
error = function(e){return(as.expression(x))},
finally=TRUE)
return(x)
}
This