similar to: Loess

Hi, I'm not sure what the recommended thing to do here would be: In the lattice library, panel.loess needs to use loess.smooth(), which is in the modreg library. Now should I (1) make lattice depend on modreg, and call require(modreg) in zzz.R OR (2) use autoload("loess", "modreg") I like the second option better, as a particular session might not need panel.loess.

One more question... I need to use the Loess() function in the package modreg. What is the argument "formula" meant to be? A -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the

Hi, First time on this list. Here it goes I am trying to find Loess. I could not find it on the windows version. Is there one in either Unix version of R or some C program somewhere? I tried one from http://netlib.bell-labs.com/netlib/a/, but I cannot get it to compile due to problem with missing lib (I think): cc -o gas.x gas.o loessc.o loess.o predict.o misc.o loessf.o -llinpack -lcor -lm

Hi all, I 've got a question about the usage of loess in the modreg package. The documentation (loess.html) states that the smoothing window is either set by span or enp.target. If span is used, the details section of the docs state... <SNIP> DETAILS Fitting is done locally. That is, for the fit at point x, the fit is made using points in a neighbourhood of x, weighted by their

Hi all, I 've got a question about the usage of loess in the modreg package. The documentation (loess.html) states that the smoothing window is either set by span or enp.target. If span is used, the details section of the docs state... <SNIP> DETAILS Fitting is done locally. That is, for the fit at point x, the fit is made using points in a neighbourhood of x, weighted by their

Hi, I have a data frame with 6563 observations. I can run a regression with loess using four explanatory variables. If I add a fifth, R crashes. There are no missings in the data, and if I run a regression with any four of the five explanatory variables, it works. Its only when I go from four to five that it crashes. This leads me to believe that it is not an obvious problem with the data,

I am using R to do a loess normalisation procedure. In 1.5.1 I used the following commands to normalise the variable "logratio", over a 2d surface (defined by coordinates x and y): > array <- read.table("121203B_QCnew.txt", header=T, sep="\t") > array$logs555<-log(array$s555)/log(2) > array$logs647<-log(array$s647)/log(2) >

Hi all, I am doing a projection pursuit regression using the ppr() function from modreg. I would also like to use predict.ppr(). However, I cannot find any information about it in the help files. There is a link to predict.ppr in the index for modreg, but that link is to the help for ppr(). Has predict.ppr() not been implemented? If not, does anyone have a suggestion as to how to implement

Background: I'm a student of Prof. Cleveland at Purdue University. Eventually, we'd like to release a new version of the loess routine in R. For starters, this implementation would have support for local polynomial degree 3, better control over the number of cells in the KD tree, and perhaps a better solution in higher predictor dimension. I see that Prof. Ripley was responsible for

Hi, R-devel causes me still trouble. It dies with Error: couldn't find function "predict.loess" Execution halted for the package affy, but bash-2.04$ grep predict.loess ~/R-devel/src/library/modreg/R/*.R /misc/homes/laurent/R-devel/src/library/modreg/R/loess.R:predict.loess <- function(object, newdata = NULL, se = FALSE, ...) bash-2.04$ ..the function seems to be there...

'getAnywhere' is not reporting methods when there are periods in the class name or the generic name (in R-devel). > getAnywhere( 'predict.loess') A single object matching 'predict.loess' was found It was found in the following places registered S3 method for predict from namespace modreg namespace:modreg with value <<...>> > getAnywhere(

R- Users: Can someone indicate what I am during wrong? This is a script essentially from Venerable & Ripley's text on interpolating a surface with loess function but I can not get it to run. Thanks. John Lewis Professor McGill University Montreal library(MASS) library(modreg) data(topo) par(mfcol=c(2,2), pty="s") topo.loess <- loess(z ~ x * y, topo, degree=2,

Colleagues ---------------------------------- System info: R version rw1022 on NT ESS v. 5.1.18 using emacs ver. 20.4 ---------------------------------- I would like to access the residuals from a lowess fit (function lowess() ) as an aid to assessing whether I am over-smoothing or under-smoothing a dataset (as in Cleveland's book "Visualizing data", section 3.3) Unless I

Hi all, I'm having two small problems and was wondering if you could help me out. Problem 1: When I use pch to place a symbol onto a plot it seems to place the point a little off the exact location. I have read the help file for this which says to use "." as the plotting character, which will then produce centered points but I am unclear as to how to do this. Problem 2: How do I

Hi R Users, I am very new to R and would like to do something quick if possible, please help! Suppose I have a data set of y versus x, how can I generate a smoothing line of y versus x (for example, using loess) and at the same time, generate a pair of confidence intervals for the smoothing or mean plus/minus standard deviation? Yi Zhu Golder Associates Inc. USA

Madam, Sir, I have downloaded and transfered to my P.C (Window 98) the version of R which has been split on purpose,that is to say the rw0990b1.zip ,rw0990b2.zip ,etc files. I encountered no problem as far as the installation is concerned. But when I try to run some function ,for instance loess, it issued an error message stating that an underlying Fortran program is not properly loaded.

Dear list, In using the scatter.smooth() function (modreg) on a small data set (100 obs) the following error was produced: > scatter.smooth(Na, S) Warning message: k-d tree limited by memory. ncmax= 200 I haven't used scatter.smooth much but when I have, I haven't seen this message before. gc() returns > gc() used (Mb) gc trigger (Mb) Ncells 417693 11.2 667722

Hi has anyone succeeded in installing R on DEC alpha OSF 4.0 with gcc/g77 ? The PLATFORMS file mentions successful installtion on OSF 3.2 using cc. Here is the output I get when trying to compile: ld -shared -o eda.so line.o smooth.o ld: Warning: Unresolved: floor ceil rsort __exc_add_pc_range_table __exc_add_gp_range __exc_remove_pc_range_table __exc_remove_gp_range make[4]: Leaving

Hi there, I'm using R1.0.1 Windows 98. This file contains some inputs and an aov function code. Can someone check it for me? Somehow I got completely different answer when typing them in R and in Splus. Splus gives me this: > summary( Turnip.aov ) Error: Blocks Df Sum of Sq Mean Sq F Value Pr(F) Residuals 3 163.7367 54.57891 Error: Plots %in% Blocks

At 06:09 AM 5/1/00 +0100, Prof Brian D Ripley wrote: >On Sun, 30 Apr 2000, Stephen R. Laniel wrote: > >> I was just now surprised to note that functions to go generalized additive >> models don't appear to exist under R 1.000. In particular, the gam() and >> loess() functions aren't there. Are they hidden somewhere and I just >> haven't noticed? >