similar to: lowess() won't handle NAs

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

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)

Dear all, please do you have any recommendation about a more advanced function in R for lowess/loess regression ? the basics lowess() or loess() do not perform as well as I would expect. thanks very much, Bogdan [[alternative HTML version deleted]]

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

Hi there, Just out of curious, is there any difference between loess() and lowess() in R (and Splus in fact). Which one is more often used? Thanks, Ko-Kang Wang ------------------------------------------------------------------------------ Ko-Kang Kevin Wang Statistical Analysis Division Leader Software Developers' Klub (SDK) University of Auckland New Zealand

Hi folks. If I have the following in my "data" event pH1 pH2 1 4.0 6.0 2 4.3 5.9 3 4.1 6.1 4 4.0 5.9 and on and on..... for about 400 events Is there a way I can get R to plot event vs. pH1 and event vs. pH2 and then do a loess or lowess line for each?? Thanks in advance David [[alternative HTML version deleted]]

Hi Every Body, I don't know why some regression functions have no related prediction function. For example lowess, loess, lokerns, lpridge, lpepa, and ksmooth. What could help? Is there any global or wrapper function so that can help? Regards, Amir Safari --------------------------------- [[alternative HTML version deleted]]

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:

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 ?

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

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

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

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: 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

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

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 =

Dear UseRs: Recently, I have read an article regarding the association between age and lymph node metastases. http://jco.ascopubs.org/content/27/18/2931.long In statistical analysis, the authors stated "Because a nonlinear relationship between age and lymph node involvement was expected based on existing literature, lymph node involvement was also regressed on age using nonparametric

Hi, I have some very noisy, relatively sparse data; a biological response of roughly ~8 subjects at ~8 times points). I've been following the data trend using a lowess line, over-plotted with several values of bandwidth, 'f <- seq(0.3, 0.9, by=0.1)'. At this point, we have no models for these data. I wonder if there is any way under R to assign some sort of confidence interval to

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