search for: lowessed

As I've mentioned a number of times. I find it very useful to have lowess() become a generic function so that a lowess.formula() can be defined. Below is a patch that makes both changes, as well as updating the corresponding help documentation. Gregory R. Warnes Manager, Non-Clinical Statistics Pfizer Global Research and Development Tel: 860-715-3536 ? DESCRIPTION ? Makefile ?

I don't really see the point. lowess() is a two-dimensional smoother only so the main point would only be to allow lowess(y ~ x, dat) instead of lowess(dat$x, dat$y). Bill V. -----Original Message----- From: r-devel-bounces@stat.math.ethz.ch [mailto:r-devel-bounces@stat.math.ethz.ch] On Behalf Of Warnes, Gregory R Sent: Wednesday, 21 January 2004 4:48 PM To: 'R-devel' Subject:

The lowess() help page refers to documentation in "src/appl/lowess.doc". This was moved to "src/library/stats/src/lowess.doc" in 2007. This patch fixes it: Index: src/library/stats/man/lowess.Rd =================================================================== --- src/library/stats/man/lowess.Rd (revision 79137) +++ src/library/stats/man/lowess.Rd (working copy) @@

Hi, A lowess method is defined in our package for one of our S4 classes. To explicitely define the generic this is being used if (!isGeneric("lowess")) setGeneric("lowess", useAsDefault = lowess) This works fine for many other methods inherited from various R packages. In this case a warning is issued in R CMD check: * checking R code for possible problems ... NOTE

Hi, all, I want to use lowess(x, y) where x and y are vectors of length of 4000+. In fact, x and y are log of some vectors. So, some of the elements are NaN. lowess() can not take away those elements then do the fitting. It will give the error message and do nothing. 1. Can anybody tell me how to get rid of those NaN's and use lowess()? 2. How to get the LOWESS fitting values for any

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

Just noticed nobody has commented on this, so I took a look, and I can't see the problem (2.1.0 looks the same as 2.1.1 to me). What is supposed to be wrong? Duncan Murdoch On 5/23/2005 2:35 PM, pelzc at ohsu.edu wrote: > Full_Name: Carl Pelz > Version: 2.1.0 & 2.0.1 > OS: Windows 2000 > Submission from: (NULL) (137.53.64.158) > > > # Paste this all into an R

I'm using this code to plot a smoothed line. These two columns of data really represent 4 groups and I'd like to plot a separate line for each group but have them all in the same plot. The R-Docs for lowess do not seem to indicate some type of "GROUPS=var_name" option. What would be the syntax for this? plot(AWGT ~ lipid ) lines(lowess(lipid , AWGT, f=.8)) -- Dean

Hi there, I'm plotting some glass RI values just by plotting plot(x) then I put on my lowess smoother lines(lowess(x)) now I want to put on some 95% Confidence Interval bands of the lowess smoother, but don't know how?? Thanks -- Gareth Campbell PhD Candidate The University of Auckland P +649 815 3670 M +6421 256 3511 E gareth.campbell@esr.cri.nz gcam032@gmail.com [[alternative

hi: apologies for taking up everyone's time. my problem is probably documented somewhere, but I again cannot find it. (which reminds me: I cannot find a search engine that allows me to search the archives of this very useful mailing list.) * it seems that lines(lowess()) fails to plot certain line segments. (and, what does it do at the x-min and x-max of a data set?) Rather than

x <- c(0,7,8,14,15,120,242) y <- c(122,128,130,158,110,110,92) lowess(x,y) $x [1] 0 7 8 14 15 120 242 $y [1] 122.0000 128.0000 132.2857 158.0000 110.0000 -4930.0000 110.0000 R version 2.2.1, 2005-12-20, i486-pc-linux-gnu attached base packages: [1] "methods" "stats" "graphics" "grDevices" "utils"

Hello Masters, I run the loess() function to obtain local weighted regressions, given lowess() can't handle NAs, but I don't improve significantly my situation......, actually loess() performance leave me much puzzled.... I attach my easy experiment below #------SCRIPT---------------------------------------------- #I explore the functionalities of lowess() & loess() #because I have

Dear Colleagues: I need to make a graphic that uses the Nimbus rather than Helvetica font family so that the font can be embedded in the encapsulated postscript file. This is to satisfy a requirement from a journal for electronic submission of figures. I do the following: postscript('lowess.eps', onefile=FALSE, pointsize=18, horizontal=FALSE, family='NimbusSan')

Hi, I have a scatter plot of the variables GNI and Lifeexp (Gross National Income and Life Expectancy, both metric). So I plotted them and I want to add a regression line and a lowess line. I use lowess and not loess because I have missing values. My code: plot(GNI,Lifeexp) abline(lm(Lifeexp~GNI), col="red") y.loess<-loess(Lifeexp~GNI,na. action = na.exclude)

Can anyone explain to me what this error message means, why I'm getting it, and how to fix it? lines(lowess(xdat, ydat, f=.5), col=3) Error: NAs in foreign function call (arg 1) ______________________________________________________________________ Stuart Luppescu -=-=- University of Chicago ºÍʸ ¤ÈÃÒÆàÈþ¤ÎÉã(EUC) -=-=- s-luppescu at uchicago.edu

Hi All, I've been providing a generic version of lowess() in my 'gregmisc' library, along with a 'lowess.formula' and 'lowess.default'. Can/should these be moved into base? -Greg LEGAL NOTICE Unless expressly stated otherwise, this message is confidential and may be privileged. It is intended for the addressee(s) only. Access to this E-mail by anyone else

This is not a "help" request, just an experience with R that I found amusing. I have a machine learning module that I teach which was originally all symbolic, but has a slowly growing numeric/statistical component. Today I taught a two part lecture on instance based methods for learning, with the first half being simple KNN, then kernel methods for regression. The second half was using

Greetings. These days I find myself writing a lot of functions to handle routine things. One of these is a function to create a scatterplot of variables and draw a lowessed line so I can get some idea if there's any relationship between them. lowessed.plot <- function(x, y) { plot(x, y) lines(lowess(x, y)) } However, there's a slight problem: the plot axes come out labeled "x" and "y", which isn't what I want. I want the plot...

I am trying to change the attributes of the lowess lines fit to an xyplot command, but have been unsuccessful in my search of the online help. Right now, both the points and lowess line come out in the same color (blue). I am unsure how I can change the properties of the lowess line separately. xyplot ( SnowLineElevation ~ Year | Model, data = data, ylim = c(0,1800), type =

code: x <- rnorm(32) y <- rnorm(32) plot(x,y) lines(lowess(x,y),col='red') Now I need to sample the lowess function into matrix where one series will be X and other will be values of lowess at particular X. -- View this message in context: http://r.789695.n4.nabble.com/how-to-sample-lowess-loess-into-matrix-tp3053458p3053458.html Sent from the R help mailing list archive at