Displaying 20 results from an estimated 10000 matches similar to: "lazy evaluation and DUP=F"
2002 May 30
0
se.contrast: matrix contrast.obj doesn't work as documented (PR#1613)
The man page for se.contrast, when describing the contrast.obj
parameter, states that "Multiple contrasts should be specified
by a matrix as returned by contrasts."
When doing an unbalanced single factor ANOVA, using a contrast.obj
as returned by contrasts results in the following error from
qr.qty when se.contrast is called:
Error in qr.qty(object$qr, contrast) : qr and y must have
2004 Mar 01
0
se.contrast ....too hard??? .... Too easy????? .....too trivial???? ...... Too boring.....too????????
Hi all,
Regular and avid readers of this column will know that Don Driscoll and
I have recently posted two messages requesting assistance concerning an
apparent failure of "se.contrast" to produce an se for a contrast. So
far, an ominous silence rings in our ears, but read on Gentle Reader,
and see if even the machinations of "debug" doesn't stimulate you to
respond with a
2012 Dec 03
1
qr.qy and qr.qty give an error message when y is integer and LAPACK=TRUE
With this example
set.seed(123)
A <- matrix(runif(40), nrow = 8)
y <- 1:nrow(A)
A.laqr <- qr(A, LAPACK=TRUE)
both qr.qy(A.laqr,y) and qr.qty(A.laqr,y) give the respective error messages
Error in qr.qy(A.laqr, y) : 'b' must be a numeric matrix
Error in qr.qty(A.laqr, y) : 'b' must be a numeric matrix
However when Lapack is not used as in
A.liqr <- qr(A,
2007 May 15
2
QR Decompositon and qr.qty
Dear R people,
I do not have much knowledge about linear algebra but currently I need
to understand what the function qr.qty is actually doing. The
documentation states that it calculates t(Q) %*% y via a previously
performed QR matrix decomposition.
In order to do that, I tried following basic example:
m<-matrix(c(1,0,0,0,1,0,0,0,1,0,0,1),ncol=3) # 4x3 matrix
2012 Apr 26
2
How does .Fortran "dqrls" work?
Hi, all.
I want to write some functions like glm() so i studied it.
In glm.fit(), it calls a fortran subroutine named "dqrfit" to compute least
squares solutions
to the system
x * b = y
To learn how "dqrfit" works, I just follow how glm() calls "dqrfit" by my
own example, my codes are given below:
> qr <-
>
2003 Jan 03
0
lm.fit peak memory usage
Hi,
I've been running out of memory while using the lm.fit function - have
solved the problem and thought there might be interest in incorporating some
of the changes. Looked at the source and changed the following lines
storage.mode(x) <- "double"
storage.mode(y) <- "double"
z <- .Fortran("dqrls", qr = x, n = n, p = p, y = y, ny = ny,
2005 Dec 20
1
nls problem
Hi list,
I tried to use nls to do some nonlinear least square fitting on my data with
340 observations and 10 variables, but as I called nls() function, I got
this error message:
Error in qr.qty(QR, resid) : 'qr' and 'y' must have the same number of rows
Then I traced back a little bit into nls() function, the error seemed to
happen when calling nlsiter() internal function, but
2003 Jul 16
2
Is there a bug in qr(..,LAPACK=T)
The following snippet suggests that there is either a bug in qr(,LAPACK=T), or some bug in my understanding. Note that the detected rank is correct (= 2) using the default LINPACK qr, but incorrect (=3) using LAPACK. This is running on Linux Redhat 9.0, using the lapack library that comes with the Redhat distribution. I'm running R 1.7.1 compiled from the source. If the bug is in my
2006 Aug 31
1
NaN when using dffits, stemming from lm.influence call
Hi all
I'm getting a NaN returned on using dffits, as explained
below. To me, there seems no obvious (or non-obvious reason
for that matter) reason why a NaN appears.
Before I start digging further, can anyone see why dffits
might be failing? Is there a problem with the data?
Consider:
# Load data
dep <-
2007 Dec 18
1
R-users
R-users
E-mail: r-help@r-project.org
I have a quenstion on "gam()" in "gam" package.
The help of gam() says:
'gam' uses the _backfitting
algorithm_ to combine different smoothing or fitting methods.
On the other hand, lm.wfit(), which is a routine of gam.fit() contains:
z <- .Fortran("dqrls", qr = x * wts, n = n, p = p, y = y *
2002 Dec 06
2
Fitting 2D vs. 2D data with nls()
Dear R-experts!
I have y(x) data, dim(y) == dim(x) == c(2000, 2)
I'd like to fit them with nls:
fit.result <- nls ( y ~ f(x, p1, p2, p3),
start = list(p1 = ... , p2 = .. , p3 = ..)
)
Actually I want to fit y[,1] ~ x[,1] and y[,2] ~ x[,2]
*simulaneously*, with the same parameters set {p1, p2, p3}.
I tried to feed R tha above formula, R errors with:
2007 Dec 18
2
"gam()" in "gam" package
R-users
E-mail: r-help@r-project.org
I have a quenstion on "gam()" in "gam" package.
The help of gam() says:
'gam' uses the _backfitting
algorithm_ to combine different smoothing or fitting methods.
On the other hand, lm.wfit(), which is a routine of gam.fit() contains:
z <- .Fortran("dqrls", qr = x * wts, n = n, p = p, y = y *
2005 Dec 18
1
Fit non-lineair 3D Data
Hi,
I have a problem with fitting a model:
I made a dataframe with this data:
a <- 1:3
b <- 1:3
c <- c(3, 2, 3, 2, 1, 2, 3, 2, 3)
df <- expand.grid(a,b)
df$result <- c
names(df) <- c("A","B", "result")
Although I can make a graph of the data:
require(lattice)
wireframe(result~A*B, data=df)
I can't get a model to
2014 Oct 07
1
Issue installing Matrix Package
Hi,
I installed R-3.1.1 on AIX-5.3 and my installation hanged up while
installing Matrix Package.
so i killed the gmake ; gmake install the software nad tired installing
Matrix package manually -
[ncmr0202][/gpfs1/home/shivali/gang/R-3.1.1/bin/package]>
/gpfs1/home/shivali/gang/R-3.1.1/bin/R CMD INSTALL Matrix
the package compiled successfully but while loading Matrix package the
2009 Jun 17
3
Matrix inversion-different answers from LAPACK and LINPACK
Hello.
I am trying to invert a matrix, and I am finding that I can get different
answers depending on whether I set LAPACK true or false using "qr". I had
understood that LAPACK is, in general more robust and faster than LINPACK,
so I am confused as to why I am getting what seems to be invalid answers.
The matrix is ostensibly the Hessian for a function I am optimizing. I want
to get
2000 Mar 01
1
"is.qr" definition (PR#465)
Might it be possible to tighten the definition of "is.qr". I
noticed that after I mistakenly typed
example(lm) # make lm object named lm.D9
qr.Q(lm.D9)
which exhausted the heap memory and produced two warning
messages. As an object of class "lm" has a "qr" component,
"is.qr" failed to detect that "lm.D9" was not a "qr" object. The
2010 Feb 17
2
qr test?
I am testing 'qr' with an admittedly contrived matrix and I am getting different results than I am from another package. The matrix that I am using is:
x <- matrix(seq(.1, by=.1, length.out=12), 4)
So the whole test is:
x <- matrix(seq(.1, by=.1, length.out=12), 4)
qr(x)
And the output from 'R' is:
$qr
[,1] [,2] [,3]
[1,] -0.5477226 -1.2780193
2014 Oct 14
1
[Fwd: Re: AIX-5.3 Issue installing Matrix Package]
Hi,
Please help.
Regards,
Shivali
---------------------------- Original Message ----------------------------
Subject: Re: [Rd] AIX-5.3 Issue installing Matrix Package
From: shivali at mail.ncmrwf.gov.in
Date: Wed, October 8, 2014 3:31 pm
To: "Ei-ji Nakama" <nakama at ki.rim.or.jp>
Cc: "Martin Maechler" <maechler at stat.math.ethz.ch>
2010 Dec 06
1
use pcls to solve least square fitting with constraints
Hi,
I have a least square fitting problem with linear inequality
constraints. pcls seems capable of solving it so I tried it,
unfortunately, it is stuck with the following error:
> M <- list()
> M$y = Dmat[,1]
> M$X = Cmat
> M$Ain = as.matrix(Amat)
> M$bin = rep(0, dim(Amat)[1])
> M$p=qr.solve(as.matrix(Cmat), Dmat[,1])
> M$w = rep(1, length(M$y))
> M$C = matrix(0,0,0)
2002 Feb 27
1
Bug in glm.fit? (PR#1331)
G'day all,
I had a look at the GLM code of R (1.4.1) and I believe that there are
problems with the function "glm.fit" that may bite in rare
circumstances. Note, I have no data set with which I ran into
trouble. This report is solely based on having a look at the code.
Below I append a listing of the glm.fit function as produced by my
system. I have added line numbers so that I