similar to: lines(lowess()) trouble

Hi, I understand that the core of lowess() function is written in C. Is the C source code available and if yes, how can I get to it? I want to write a multidimensional extension of lowess() if you know of anybody who has implemented this already I would greatly appreciate any references or pointers. thank you very much, pawel

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]]

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

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 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

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) @@

Tom Blackwell wrote: >... >I summarized this to myself as "computed subscripts need explicit >rounding in R, but not in S". Here's the sample code which gave >me different results with R than with Splus. I no longer have >Splus available, so I can't check it again. >look <- (10 * seq(14)) - 76 >chk.1 <- seq(1420)[ 10 * (73.1 + look) ] #

beginner's mistake on my part. the fitted turned out to have negative values in it, so the logplot failed. apologies. it still would be nice to have more docs on lowess, but this has nothing to do with my question. regards, /iaw

Moved to R-help from R-SIG-gR. On Thu, 21 Oct 2004 17:44:27 +0800 XP Sun wrote: > hi, everyone, > > this is the first time for me to use R, > would you like to tell me how to use this command? thank you in > advance. > > fit <- principal.curve(y, plot = TRUE, smooth="periodic.lowess", > iter=0) > > when i uesd the parameter > >

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, I have some microarray data, cy5 and cy3 values are in log2. Is there a way to check they have undergone lowess normalization ? Thanks Stanley [[alternative HTML version deleted]]

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 =

I was looking for suggestions as to how to smooth a timeseries and, having accomplished that, how to find the fitted curve values for intermediate points. ? I've tried numerous examples of possible approaches in R that I've found on the web, but when applied to my simple data, R returns an error message in numerous cases. ? The main problem seems to be that I have monthly data, starting

Dear Masters, I'm driving crazy with the lowess() function.... my intent is smoothing confidence intervals for predicted y values in a linear model lm() setting since in the predict() function there exists an option for predicting NA values, I instead encounter problems when I fit a missing values x variable to the predicted terms.....,impossible task!!! I've been banging on my head

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 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, 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

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]]