search for: mfilter

...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 0.8333...

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(mf...

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-Fitzgera...

...ar period I have 38 scenes. For certain periods I have monthly data while for others, images are up to three months apart. So far I have been using linear regression between NDVI (Normalized Difference Vegetation Index) and time to get an overall trend and then plotting the long term trend with the mFilter (Hodrick-Prescott filter). Additional to this I would like to plot a full time series of monthly rainfall data (with no missing data) against my irregular ts. I thus have the following questions, 1. While the mFilter does provide a good trend profile I would like to use a ts analysis procedure whi...

...ilter.R R/Filter.R R/QuantArrayData.R R/RGData.R R/RawData.R R/000.R R/MicroarrayData.IO.R R/LayoutGroups.R R/BFilter.R R/com.braju.sma.R R/Copy of TFilter.R R/Copy of SSMatrix.R R/private.utils.R R/WangetalData.R R/KHessFilter.R R/DfFilter.R R/SpotData.R R/ScanAlyzeData.R R/BMAData.R R/AFilter.R R/MFilter.R R/Layout.obsolete.R R/AndFilter.R R/OrFilter.R R/SEFilter.R R/TFilter.R R/AcceptFilter.R R/SpotPosition.R R/SerialFilter.R R/GSRArray.R R/MultiwayArray.R R/KHessData.R R/GeneAcceptFilter.R R/GeneData.R R/GeneRejectFilter.R R/TMAData.R R/NotFilter.R R/ParallelFilter.R R/RejectFilter.R R/ReplicateO...

.... finally, if anyone cares to try to reproduce this error, here is what you would do: If you have CMake installed, then open R 3.0 and do: install.packages(c("devtools", "Rcpp", "methods", "signal", "parallel", "timeSeries", "mFilter", "MASS", "robust", "magic", "knitr", "pixmap", "rgl", "misc3d")) then Clone or Pull ANTsR from this repository as follows: $ git clone git@github.com:stnava/ANTsR.git >From the parent directory of the new ANTsR direct...

...0.R R/MicroarrayData.IO.R > > > R/LayoutGroups.R R/BFilter.R R/com.braju.sma.R R/Copy of > > TFilter.R R/Copy of > > > SSMatrix.R R/private.utils.R R/WangetalData.R R/KHessFilter.R > > R/DfFilter.R > > > R/SpotData.R R/ScanAlyzeData.R R/BMAData.R R/AFilter.R R/MFilter.R > > > R/Layout.obsolete.R R/AndFilter.R R/OrFilter.R R/SEFilter.R R/TFilter.R > > > R/AcceptFilter.R R/SpotPosition.R R/SerialFilter.R R/GSRArray.R > > > R/MultiwayArray.R R/KHessData.R R/GeneAcceptFilter.R R/GeneData.R > > > R/GeneRejectFilter.R R/TMAData.R R/...

...RGData.R R/RawData.R R/000.R R/MicroarrayData.IO.R > > R/LayoutGroups.R R/BFilter.R R/com.braju.sma.R R/Copy of > TFilter.R R/Copy of > > SSMatrix.R R/private.utils.R R/WangetalData.R R/KHessFilter.R > R/DfFilter.R > > R/SpotData.R R/ScanAlyzeData.R R/BMAData.R R/AFilter.R R/MFilter.R > > R/Layout.obsolete.R R/AndFilter.R R/OrFilter.R R/SEFilter.R R/TFilter.R > > R/AcceptFilter.R R/SpotPosition.R R/SerialFilter.R R/GSRArray.R > > R/MultiwayArray.R R/KHessData.R R/GeneAcceptFilter.R R/GeneData.R > > R/GeneRejectFilter.R R/TMAData.R R/NotFilter.R R/Parall...

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!

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

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