Displaying 20 results from an estimated 30000 matches similar to: "Good and modern Kernel Regression package in R with auto-bandwidth?"
2009 Jan 29
0
np 0.30-1 (nonparametric kernel smoothing methods for mixed data types) is available on CRAN...
Dear R users,
Version 0.30-1 of the np package has been released and uploaded to CRAN.
The np package provides nonparametric kernel smoothing methods for mixed
data types. We encourage anyone using the package to upgrade to the
latest version.
Description: This package provides a variety of nonparametric (and
semiparametric) kernel methods that seamlessly handle a mix of
continuous, unordered,
2009 Jan 29
0
np 0.30-1 (nonparametric kernel smoothing methods for mixed data types) is available on CRAN...
Dear R users,
Version 0.30-1 of the np package has been released and uploaded to CRAN.
The np package provides nonparametric kernel smoothing methods for mixed
data types. We encourage anyone using the package to upgrade to the
latest version.
Description: This package provides a variety of nonparametric (and
semiparametric) kernel methods that seamlessly handle a mix of
continuous, unordered,
2011 Jul 25
0
error in optimization when I include constant term in Klein and Spady (np package)
Dear all,
I am trying to use the np package for the estimation of a model with Klein
and Spady's semiparametric estimator. When though, I include a constant term
( a column with 1s in X) then the following message appear:
Multistart 1 of 3...Error in optim(c(beta, h), fn = optim.fn, gr = NULL,
method = optim.method, :
non-finite value supplied by optim
So, how can I include a constant
2012 Oct 21
2
help speeding up simple Theil regression function
Hello,
I am working on a simple non-parametric (Theil) regression function and and
am following Hollander and Wolfe 1999 text. I would like some help making
my function faster. I have compared with pre-packaged version from "MBLM",
which isnt very fast either, but it appears mine is faster with N = 1000
(see results below). I plan on running this function repeatedly, and I
generally
2002 Mar 25
2
Extreme value distributions (Long.)
This may not actually be an R/Splus problem, but it started
off that way .....
===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===+===
Executive summary:
==================
Simulations involving extreme value distributions seem to ``work''
when the underlying distribution is exponential(1) or exponential(2)
== chi-squared_2, but NOT when the underlying distribution is
2012 Nov 06
1
Filling matrix elements with a function
Hi all,
I have a matrix simulating migration in a spatial model. I want to be
able to define movement (the values of m1, m2 and m3) as only != 0
between adjacent patches and contingent on certain conditions as
defined in the function.
Here is the code:
WET<-function(t) {everglades$precipitation[t]} #simply reads
precipitation data from a csv, value is numeric
AB<-function(WET,t)
2006 Nov 05
1
diag()<- in Matrix?
Dear all,
I am trying to use the Matrix package to do some calculations on rather
large and sparse matrices. An example of such a matrix is given below.
mig<-0.2
side<-10
np<-side^2
mig.mat<-matrix(0,np,np)
diag(mig.mat[1:(np-side),(side+1):np])<-mig/4
diag(mig.mat[(side+1):np,1:(np-side)])<-mig/4
diag(mig.mat[-np,-1])<-mig/4
2003 Jul 31
2
how as.numeric() !-> factor
Dear all,
I have divided two vectors:
Np.occup97.98<- as.data.frame(cbind(site = levels(sums$site),
Np.occup97.98 = sums$Ant.Nptrad97.98/Ant.trad$Ant.trad97.98))
> Np.occup97.98
site Np.occup97.98
1 erken97 0.342592592592593
2 erken98 0.333333333333333
3 rormyran 0.48471615720524
4 valkror 0.286026200873362
However, at a later stage of the analysis I want
>
2008 Feb 04
1
strftime fails on POSIXct objects (PR#10695)
R 2.6.1 on a Thinkpad T60 running up-to-date Gentoo:
Despite the documentation, which says:
'strftime' is an alias for 'format.POSIXlt', and 'format.POSIXct'
first converts to class '"POSIXlt"' by calling 'as.POSIXlt'. Note
that only that conversion depends on the time zone.
strftime fails on POSIXct objects:
> foo <-
2013 Apr 24
1
Floating point precision causing undesireable behaviour when printing as.POSIXlt times with microseconds?
Dear list,
When using as.POSIXlt with times measured down to microseconds the default format.POSIXlt seems to cause some possibly undesirable behaviour:
According to the code in format.POSIXlt the maximum accuracy of printing fractional seconds is 1 microsecond, but if I do;
options( digits.secs = 6 )
as.POSIXlt( 1.000002 , tz="", origin="1970-01-01")
as.POSIXlt( 1.999998 ,
2012 Jan 12
9
Re: [PATCH] add netconsole support for xen-netfront
On Wed, Jan 11, 2012 at 04:52:36PM +0800, Zhenzhong Duan wrote:
> add polling interface to xen-netfront device to support netconsole
>
Ian, any thoughts on the spinlock changes?
> Signed-off-by: Tina.Yang <tina.yang@oracle.com>
> Cc: Konrad Rzeszutek Wilk <konrad.wilk@oracle.com>
> Cc: Jeremy Fitzhardinge <jeremy@goop.org>
> Signed-off-by: Zhenzhong.Duan
2009 Jul 30
4
truncating values into separate categories
Hi all,
Simple question which i thought i had the answer but it isnt so simple for
some reason. I am sure someone can easily help. I would like to categorize
the values in NP into 1 of the five values in "Per", with the last
category("4") representing values >=4(hence 4:max(NP)). The problem is that
R is reading max(NP) as multiple values instead of range so the
2011 Mar 31
3
[PATCH RESEND] net: convert xen-netfront to hw_features
Not tested in any way. The original code for offload setting seems broken
as it resets the features on every netback reconnect.
This will set GSO_ROBUST at device creation time (earlier than connect time).
RX checksum offload is forced on - so advertise as it is.
Signed-off-by: Micha? Miros?aw <mirq-linux at rere.qmqm.pl>
---
[I don't know Xen code enough to say this is correct. There
2011 Mar 31
3
[PATCH RESEND] net: convert xen-netfront to hw_features
Not tested in any way. The original code for offload setting seems broken
as it resets the features on every netback reconnect.
This will set GSO_ROBUST at device creation time (earlier than connect time).
RX checksum offload is forced on - so advertise as it is.
Signed-off-by: Micha? Miros?aw <mirq-linux at rere.qmqm.pl>
---
[I don't know Xen code enough to say this is correct. There
2011 Mar 31
3
[PATCH RESEND] net: convert xen-netfront to hw_features
Not tested in any way. The original code for offload setting seems broken
as it resets the features on every netback reconnect.
This will set GSO_ROBUST at device creation time (earlier than connect time).
RX checksum offload is forced on - so advertise as it is.
Signed-off-by: Micha? Miros?aw <mirq-linux at rere.qmqm.pl>
---
[I don't know Xen code enough to say this is correct. There
2002 Feb 22
1
Head & Rotor VE(CHINA-LuTong) 2/23
Dear Sir,
My name is ChenHua, and I'm writing on behalf of the
China-Lutong mechanical company. Located in the south east
of China, we specialize in hydraulic heads for the VE
distributor pump.
We can supply standard, good quality units at a very
competitive price. The following types are available:
Engine model VE PUMS code NO UNIT PRICE(EX WORKS)
ISUZU) NP-VE4/11L
2004 Aug 06
1
Head & Rotor VE(CHINA-LuTong) 2/23
Dear Sir,
My name is ChenHua, and I'm writing on behalf of the
China-Lutong mechanical company. Located in the south east
of China, we specialize in hydraulic heads for the VE
distributor pump.
We can supply standard, good quality units at a very
competitive price. The following types are available:
Engine model VE PUMS code NO UNIT PRICE(EX WORKS)
ISUZU) NP-VE4/11L
2002 Feb 26
1
Head & Rotor VE(CHINA-LuTong) 2/23
Dear Sir,
My name is ChenHua, and I'm writing on behalf of the
China-Lutong mechanical company. Located in the south east
of China, we specialize in hydraulic heads for the VE
distributor pump.
We can supply standard, good quality units at a very
competitive price. The following types are available:
Engine model VE PUMS code NO UNIT PRICE(EX WORKS)
ISUZU) NP-VE4/11L
2004 Feb 28
2
questions about anova
Hello all,
I have two questions about anova (one is probably VERY basic...)
1 - when one asks for a summary of a trend surface created with surf.ls, he/she
gets:
> summary(g3r)
Analysis of Variance Table
Model: surf.ls(np = 3, x = gradiente$east, y = gradiente$north, z =
gradiente$num1)
Sum Sq Df Mean Sq F value Pr(>F)
Regression 215.7182 9 23.968693976
2013 Feb 27
1
Separation issue in binary response models - glm, brglm, logistf
Dear all,
I am encountering some issues with my data and need some help.
I am trying to run glm analysis with a presence/absence variable as
response variable and several explanatory variable (time, location,
presence/absence data, abundance data).
First I tried to use the glm() function, however I was having 2 warnings
concerning glm.fit () :
# 1: glm.fit: algorithm did not converge
# 2: