Displaying 11 results from an estimated 11 matches for "mfilters".
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2004 Jan 20
1
random forest question
...t (version 4.0-1).
The results seem to be more or less the same which is strange because I
changed the classwt.
I hoped that for example classwt=c(0.45,0.1,0.45) would result in fewer
cases classified as class 2. Did I understand something wrong?
Christian
x1rf <- randomForest(x=as.data.frame(mfilters[cvtrain,]),
y=as.factor(traingroups),
xtest=as.data.frame(mfilters[cvtest,]),
ytest=as.factor(testgroups))
> x1rf$test$confusion
1 2 3 class.error
1 9954 30 19 0.00489853
2 139 1854 0 0.06974410
3 420 0 84 0.83333...
2004 Jan 19
1
qda problem
Hi,
the following strange error appears when I use qda:
> qda1 <- qda(as.data.frame(mfilters[cvtrain,]),as.factor(traingroups))
Error: function is not a closure
That's also strange:
> qda1 <- qda(mfilters[cvtrain,],as.factor(traingroups))
Error in qda.default(mfilters[cvtrain, ], as.factor(traingroups)) :
length of dimnames must match that of dims
Some backgroud:
> str(mfi...
2006 Dec 06
0
mFilter package
Dear useRs,
Please find the new package mFilter version 0.1-2 on CRAN.
The package implements several time series filters useful for smoothing
and extracting trend and cyclical components of a time series. The
routines are commonly used in economics and finance, however they should
also be interest to other areas. Currently, Christiano-Fitzgerald,
Baxter-King, Hodrick-Prescott, Butterworth, and
2009 Apr 02
1
Time series analysis with irregular time-series
Dear R users
I am currently investigating time series analysis using an irregular time series. Our study is looking at vegetation change in areas of alien vegetation growth after clearing events. The irregular time series is sourced from Landsat ETM+ data, over a six year period I have 38 scenes. For certain periods I have monthly data while for others, images are up to three months apart. So far
2002 Aug 13
1
R CMD check: Too long [R] code line generated (PR#1900)
Full_Name: Henrik Bengtsson
Version: 1.5.1
OS: WinMe
Submission from: (NULL) (217.210.0.243)
In the Perl script $R_HOME/bin/check there is a bug under the section "Check R
code for syntax errors" where the 'Rfiles <- c(...)' is build up. If there are
too many files in @Rfiles the source code line generated will be too long and
weird things will happen, e.g. strange
2013 Apr 10
1
question re: error message --- package error: "functionName" not resolved from current namespace
hello everyone
we are developing a package that has worked up until R3.0 which we just
tested.
the issue is as above .... when we call a function that works in R 2.15.2
from R 3.0 we get an error
Error in .Call("antsImageRead", filename, pixeltype, dimension) :
"antsImageRead" not resolved from current namespace (ANTsR)
this Error occurs when the .Call is made from
2002 Aug 14
1
FW: R CMD check: Too long [R] code line generated (PR#1900)
On Wed, 14 Aug 2002, Henrik Bengtsson wrote:
> Sorry, but it was indeed the redirection of the standard output in
> Cygwin/bash that cause the first problem, not R (I should stop doing
> troubleshooting at 1:00 AM). So please forget about the problems reported in
> R_CMD_check.out. However, it would still be nice if you still update R CMD
> check to do join with "\n".
2002 Aug 14
0
source() crashes on long lines (PR#1900)
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2009 Jul 25
3
how to smooth timeseries without the lagging?
Hi all,
If I use a moving average, it will smooth the choppy time series, but
it will lead to lagging...
How do I smooth timeseries without the lagging effect?
Thanks!
2010 Dec 20
2
Sine Regression in R
Hi everyone,
I am trying to fit a sine function on one year of wind data. I have two
questions below.
Looking around on the net I managed to get the following:
Sine Equation: y = a + b * sin( c + d*x )
b is the amplitude, c is the phase shift, d is something deal with
periodicty of data*.*
This can be linearised by sin( c+dx ) = cos(c) * sin(dx) + sin(c) *
cos(dx).
If one calls dx = x1
y
2011 Mar 04
3
Análisis de una serie temporal diaria
Hola a todos
Estoy tratando de analizaruna serie temporal con datos diarios de
temperaturas (40 años). He creado un objeto zoo (con ayuda de la lista,
gracias) sobre el que encuentro la regresión lineal. He probado también
a crear un objeto ts a partir del zoo. El problema que encuentro es que
nose puede aplicar la función stl para hallar la componente estacional y
la tendencia. Rdice que la