Is there code for bivariate kernel density estimation?
For bivariate kernels there is
kde2d in MASS
kde2d.g in GRASS
KernSur in GenKern
(list probably incomplete)
but none of them seems to accept a weight parameter
(like density does since R 2.2.0)
--
Erich Neuwirth, University of Vienna
Faculty
Ok, I think I have things figured out.
Predict.glm still doesn't work (with type=response); however, the
problem with the strange behavior of the betas and the results of
predict.glm with type=link was simply due to data issues. I had
converted my Program MARK input file (which needs only three
Doran, Harold wrote:
I have an array from an mcmc simulation and I'd like to try and use the
monitor function in R2WinBUGS. The R2WinBUGS package is in the search
path and when I try help(monitor) the help page appears for the
function. But, when I try and use it the following happens:
Can anybody help me to run the Elasticnet package of R to build some model,
i am a freshman to R language , when i use the Elasticnet package to my
data, it always reture a error, but i can't settle that problem. I
consider if there is any constrant of the data to that package? Can anyone
help
You may want to have a look at the package pgirmess and the function
polycirc()
Kind regards,
Patrick
__
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide!
Ilija Barukcic, Jever, Germany. GMT + 1h.
[EMAIL PROTECTED]
Hallo,
you are receiving this message from me
as someone who potentially
has bought the first Edition of my book
Causality. New statistical methods.
ISBN 3 - 8 3 3 4 - 3 6 4 5 - X.
Your email address was obtained either through my
Dear All,
I am analysing a dataset on levels of herbivory in seedlings in an
experimental setup in a rainforest.
I have seven classes/categories of seedling damage/herbivory that I want to
analyse, modelling each separately.
There are twenty maternal trees, with eight groups of seedlings
locfit() in the locfit package can do that.
Andy
_
From: [EMAIL PROTECTED] on behalf of Erich Neuwirth
Sent: Sun 4/23/2006 3:13 AM
To: r-help
Subject: [R] bivariate weighted kernel density estimator [Broadcast]
Is there code for bivariate kernel density estimation?
For bivariate
Which Garch function are you using? help.search(garch) identified
garch functions in fOptions, fSeries, and tseries. If you try
RSiteSearch(garch, functions), you might find others.
I just tried 'library(tseries)' and tried an example in
help(garch). I modified this
Dear Adrian and Ian (and r-helpers),
I encountered a curious result in developing an example using the bicreg
function in the BMA package: I noticed that pairs of models with equal R^2
and equal numbers of predictors had nevertheless different BIC values.
Looking at the bicreg function, the
邓敏 [EMAIL PROTECTED] writes:
Can anybody help me to run the Elasticnet package of R to build some model,
i am a freshman to R language , when i use the Elasticnet package to my
data, it always reture a error, but i can't settle that problem. I
consider if there is any constrant of the data
Hi,
Is there anyway i can set the aspect ratio options in an RGL
graphic? Like in lattice.
panel.cloud has an option called aspect=c(r1,r2) where r1 is the y/x
ratio and r2 is z/x ratio.
I'm not sure if this is the right place to ask this question.
Thanks for
Have you considered the sem package (for structural equation
modeling), which (to me at least) is a generalizion of MANOVA with
canonical analysis. Alternatively, have you considered partial least
squares (e.g., packages pls or plsgenomics)? I haven't used them,
but they sound like
Hello,
I have to make use of the Cohen-Daubechies-Fauraue (CDF) 9/7
wavelet-transform, but have not found these biorthogonal wavlet in the
released packages waveslim, wavethresh or wavelets.
Is there any package doing this transform?
Or can anybody send me the function doing this? I would be
A maybe trivial and stupid question:
In the case of a lm or glm fit, it is quite informative (to me) to have
a look to the null deviance and the residual deviance of a model. This
is generally provided in the print method or the summary, eg:
Null Deviance: 658.8
Residual Deviance: 507.3
Dear Leon:
How good is your Manderin? I am pleased and humbled that Mr. Dengmin
has made the effort to put his question in English. I don't know his
background, but my Eastern-language enabled email provided a rendition
of Richard Dengmin in the form or two Chinese characters,
Spencer Graves [EMAIL PROTECTED] writes:
Dear Leon:
How good is your Manderin? I am pleased and humbled that Mr. Dengmin
has made the effort to put his question in English. I don't know his
background, but my Eastern-language enabled email provided a rendition
of Richard
Dear R Users,
Does anyone have an implementation of KL apart from what is in reldist ?
Something with flexibility to take in empirical data for two sets, or
their CDF or their density, flagged separately for each ?
Thanks
__
R-help@stat.math.ethz.ch
Dear Leon:
Please forgive me. As I said, I'm pleased and humbled that so many
others learn English. I reacted as I did because I've heard too many
people (fortunately NOT on this list) criticize or make fun of others
whose use of language was obviously not native.
Best
Dear Spencer,
No worries:-)
-- Leon
Spencer Graves [EMAIL PROTECTED] writes:
Dear Leon:
Please forgive me. As I said, I'm pleased and humbled that so many
others learn English. I reacted as I did because I've heard too many
people (fortunately NOT on this list) criticize or
Hi,
Does anyone know what the distribution for the product of two correlated
normal? Say I have X~N(a, \sigma1^2) and Y~N(b, \sigma2^2), and the
\rou(X,Y) is not equal to 0, I want to know the pdf or cdf of XY. Thanks
a lot in advance.
yu
[[alternative HTML version deleted]]
I'm sure this is a simple task, but how to do it has escaped me.
I have imported data from two separate files (each file contains the
results from an information retrieval algorithm) organized into a list.
They are organized by File,Query, and Rank (in that order):
[[1]]
Doc Query Rank
5
Use merge:
# test data
both - list(structure(list(Doc = c(5, 9, 7, 5, 7, 9), Query = c(1, 1,
1, 2, 2, 2), Rank = c(1, 2, 3, 1, 2, 3)), .Names = c(Doc, Query,
Rank), class = data.frame, row.names = c(1, 2, 3, 4,
5, 6)), structure(list(Doc = c(4, 5, 9, 8, 5, 7), Query = c(1,
1, 1, 2, 2, 2), Rank =
Hello:
I am studying the effect of schools on student achievement growth over
time. School effect is random. The effects of schools in prior years
are assumed to be persistent till the current year. Thus, the total
school effect in the second year is like J=J2+J1. Does anyone know how
to model
Dear Adrian and Ian (and r-helpers),
To answer my own question: The difference is simply due to rounding; that
is, there are actually small differences in the R^2 values that account for
the differences in the BICs.
Sorry for the false alarm,
John
-Original Message-
From: John Fox
Erich Neuwirth writes:
Is there code for bivariate kernel density estimation?
...
but none of them seems to accept a weight parameter
In package 'spatstat' the function density.ppp performs weighted kernel
smoothing,
including bivariate kernel density estimation.
At the moment it only
Dear r users,
Few days ago I posted the same topic but unable to receive any suggestion. So
I am asking this same question.
I was trying to fit a garch(1,1) model to my dataset. But while executing I
got a warning message NaNs produced in: sqrt(pred$e). And got the estimated
sd's
Suppose your data frames are A and B:
AB - merge(A, B, c(Doc, Query), all=TRUE)
AB[order(AB$Query, AB$Doc),]
gets the answer you are asking for. (Not sure why you want to sort it to
use a correlation test, as those are indifferent to ordering.)
On Sun, 23 Apr 2006, [EMAIL PROTECTED] wrote:
AIC is only valid for maximum likelihood fitting, so not for PQL and also
not for quasi-binomial. In particular, who said AIC() was valid when
applied to a glmmPQL fit? (Certainly not the book it supports!)
You say TreeID is a `blocking factor', but you have a treatment (PLATEAU)
that is
29 matches
Mail list logo