Displaying 20 results from an estimated 1000 matches similar to: "Robust estimate of variance"
2011 Dec 06
2
Why can't I figure this out? :S
Hi, so I don't speak computer and I have no idea what this code is telling
the program to do, but I apparently need to be able to find and isolate
influencial observations. Problem, I have no idea what the error means and
where it may be from in the code.
error I get is below the code
{
## OLS results
NameC<- lm(gpanew~female+female:lastinit+agenew+canadian+mom_ed+yearstudy)
## default:
2008 May 30
1
robust mlm in R?
I'm looking for something in R to fit a multivariate linear model
robustly, using
an M-estimator or any of the myriad of other robust methods for linear
models
implemented in robustbase or methods based on MCD or MVE covariance
estimation (package rrcov).
E.g., one can fit an mlm for the iris data as:
iris.mod <- lm(cbind(Sepal.Length, Sepal.Width, Petal.Length,
Petal.Width) ~ Species,
2004 Feb 11
1
MCD-Estimator in R
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2013 Jan 26
2
confidence / prediction ellipse
Hi,
I'm using the R library(car) to draw confidence/prediction ellipses in a
scatterplot.
>From what i understood the ellipse() function return an ellipse based
parameters: shape, center, radius .
If i read dataEllipse() function i can see how these parameters are
calculated for a confidence ellipse.
ibrary(car)
a=c(12,12,4,5,63,63,23)
b=c(13,15,7,10,73,83,43)
v <-
2012 May 04
1
sem error message
Hello, I tried to do a 'sem' analysis for data of how blueberry consumption
by birds is influenced by a pollution gradient, using distance and
vegetation structural and composition variables, but I got the following
error message:
Error in sem.default(ram = ram, S = S, N = N, param.names = pars, var.names
= vars, :
S must be a square triangular or symmetric matrix
This may be very
2006 Mar 07
3
[Samba Version 3.0.20b-3.4-SUSE]: WinXP-Error writing to share
Hello mailing-list,
this is my first post and i hope that you enjoy my very bad but
sometimes funny english.
My Problem is the following:
First of all, my server-config:
Samba Version 3.0.20b-3.4-SUSE
on a
SUSE Linux Enterprise Server 9
with Kernel 2.6.5-7.252-smp
Now the problem is, that samba generally works fine, but it doesn't work
to work with a special application directly on a
2007 Dec 11
4
EL5.1 client problems
Hi all,
I attempted to add an EL5.1 client to our puppet server (EL5), and after
signing the client cert, got the error "Certificates were not trusted:
hostname not match with the server certificate"
I found the mailing list discussion and the relevant page:
http://www.reductivelabs.com/trac/puppet/wiki/RubySSL-2007-006
As far as I can tell, my puppermaster''s cert CN matches
2023 Nov 30
1
back tick names with predict function
?s 17:38 de 30/11/2023, Robert Baer escreveu:
> I am having trouble using back ticks with the R extractor function
> 'predict' and an lm() model.? I'm trying too construct some nice vectors
> that can be used for plotting the two types of regression intervals.? I
> think it works with normal column heading names but it fails when I have
> "special"
2004 Dec 17
2
question about Webtraffic monitoring
Does anyone know a good open source and free webmonitoring software
which I can use to monitor some websites and build simple
uptime/downtine statistics for my customers (conform SLA's) ?
Any help/hitns would be very apperciated :)
--
Michiel
1998 Feb 23
1
R-beta: Help: cov.mve in R? dgamma in Splus?
Hi all
I have a couple of obscure questions for R/Splus experts (which
unfortunately isn't me!)
I am trying to compute Bayes Factors using some Splus code of Raftery
in Gilks et al (1996). Only problem is
1) R doesn't seem to have a robust covariance (cov.mve) which I
suspect I need rather than a non-robust classical estimate
2) Splus has cov.mve BUT dgamma in Splus doesn't have a
2000 Feb 10
2
random effects in analysis of variance
I have a data.frame paint (below-mentioned). In SPlus I used the command
raov( MOISTURE ~ BATCH / PROBE )
(you could do raov( MOISTURE ~ BATCH + PROBE%in%BATCH) as well)
so that the factors are taken as random. In R this function raov doesn't
exist. How can I calculate the same? Maybe with lme, but how?
str(paint)
----------
`data.frame': 60 obs. of 5 variables:
$ BATCH : Factor
2020 Nov 06
2
Loop-vectorizer prototype for the EPI Project based on the RISC-V Vector Extension (Scalable vectors)
On 11/6/20 12:39 PM, Sjoerd Meijer wrote:
Hello Simon,
Thanks for your replies, very useful. And yes, thanks for the example and making the target differences clear:
; Some examples:
; RISC-V V & VE(*):
; %mask = (splat i1 1)
; %evl = min(256, %n - %i)
; MVE/SVE :
; %mask = get.active.lane.mask(%i, %n)
; %evl = call @llvm.vscale()
; AVX:
; %mask = icmp (%i + (seq
2020 Nov 06
4
Loop-vectorizer prototype for the EPI Project based on the RISC-V Vector Extension (Scalable vectors)
On 11/6/20 8:49 AM, Roger Ferrer Ibáñez wrote:
Hi Sjoerd,
Trying to remember how everything fits together here, but could get.active.lane.mask not create the %mask of the VP intrinsics? Or in other words, in the vectoriser, who's producing the %mask and %evl that is consumed by the VP intrinsics?
I'm not sure what would be the best way here. I think about the Loop Vectorizer. I imagine
2008 Nov 03
1
Input correlation matrix directly to princomp, prcomp
Hello fellow Rers,
I have a no-doubt simple question which is turning into a headache so
would be grateful for any help.
I want to do a principal components analysis directly on a correlation
matrix object rather than inputting the raw data (and specifying cor =
TRUE or the like). The reason behind this is I need to use polychoric
correlation coefficients calculated with John Fox's
2006 Sep 25
0
Sampling distribution of correlation estimations derived from robust MCD and MVE methods
Dear R users,
I am trying to use MCD and MVE methods in the analysis of functional imaging
(fMRI) data. But, before doing that, I want to understand the sampling
distribution of the correlation parameter given by MCD and MVE (cov.mcd$cor,
cov.mve$cor).
To this end, I conducted a simulation where in each of 100000 epochs, I
a. construct a matrix from two vectors, each containing 40 numbers
2006 Sep 25
0
[PlainText Attempt] Sampling distribution of correlation estimations derived from robust MCD and MVE methods
Dear R users,
I am trying to use MCD and MVE methods in the analysis of functional imaging
(fMRI) data. But, before doing that, I want to understand the sampling
distribution of the correlation parameter given by MCD and MVE (cov.mcd$cor,
cov.mve$cor).
To this end, I conducted a simulation where in each of 100000 epochs, I
a. construct a matrix from two vectors, each containing 40 numbers
2006 Apr 26
1
Minimum Volume Ellipsoid Estimator ("cov.mve"??)
Dear All,
The Minimum Volume Ellipsoid estimator ("cov.mve") was part of S+ but I cannot find it in R. Where can I find it? Why was it excluded?
Cheers, Patrik
Sweden
2010 Jul 19
4
problem with using tm
I have R installed on my computer and want to use the tm module. I selected a
CRAN mirror then selected tm on the install package menu. This is the
response I got:
also installing the dependency ?slam?
trying URL
'http://cran.mirrors.hoobly.com/bin/windows/contrib/2.11/slam_0.1-13.zip'
Content type 'application/zip' length 41992 bytes (41 Kb)
opened URL
downloaded 41 Kb
trying
2000 Dec 05
1
Is robust regression available in R.
Hello, the R people.
I look for robust regression in R.
This method is available in S, its name is rreg.
Colud anyone teach me ?
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2020 May 04
3
LV: predication
Hi Roger,
That's a good example, that shows most of the moving parts involved here. In a nutshell, the difference is, and what we would like to make explicit, is the vector trip versus the scalar loop trip count. In your IR example, the loads/stores are predicated on a mask that is calculated from a splat induction variable, which is compared with the vector trip count. Illustrated with your