similar to: loess coefficients output

Greetings I have a very simple question that I have not been able to solve by reading the manual. When I produce a stripchart with two straight columns of dots representing individual observations, one representing one group of subjects and the other representing another, the columns wind up at the far left and far right sides of the plot, and I'd like them to be closer together, about as far

I'm trying to convert some S-Plus code which generates barplots and other shaded area plots to R. If I specify that I want hatching using the angle and density arguments, the messages 1: argument `density' is not used (yet) in: .NotYetUsed("density", error = FALSE) 2: argument `angle' is not used (yet) in: .NotYetUsed("angle", error = FALSE) so apparently these

Hi, I recently noticed that when doing "samba_dns --all-names --verbose" against Bind-9.12, I can't update dns records. I'm getting these error messages for each record to update: . . . update failed: REFUSED Failed nsupdate: 2 update(nsupdate): SRV _ldap._tcp.Default-First-Site-Name._sites.ForestDnsZones.samdom.com alpine.samdom.com 389 Calling nsupdate for SRV

Hi Konrad, The following patch causes fairly large packet loss when transmitting from dom0 to the physical network, at least with my tg3 hardware, but I assume it can impact anything which uses this interface. I suspect that the issue is that the compound pages allocated in this way are not backed by contiguous mfns and so things fall apart when the driver tries to do DMA. However I

> Nobody has looked into it yet. Likely just an extra build rule > required, I would need to see the 9.11 and 9.12 DLZ header files to > check. > > Aaron Haslett (CC'ed) may be able to help once he fights past the other > BIND9 issues he is looking at. > > Andrew Bartlett Thanks for response. I actually looked it myself. Since there is no DLZ ABI changes since

hi! i want to change the "robustness weights" used by loess. these are described on page 316 of chambers and hastie's "statistical models in S" book as r_i = B(e_i,6m) where B is tukey's biweight function, e_i are the residulas, and m is the median average distance from 0 of the residuals. i want to change 6m to, say, 3m. is there a way to do this? i cant

I'm updating the loess routines to allow for, among other things, arbitrary local polynomial degree and number of predictors. For now, I've given the updated package its own namespace. The trouble is, panel.loess still calls the original code in package:stats instead of the new loess package, regardless of whether package:loess or package:lattice comes first in the search list. If I

Hi, I have 2 questions regarding using loess function in stats package. 1. I have about 1 million points. I did loess with alpha=0.5 and degree=1 and 2 regressors. It has run for more than 5 hrs on 64bit 16CPU and 64GB server (with no other process running). I am wondering if this is usual? And if there is anyway to make it run faster? 2. I noticed a difference in RAM consumption when specifying

Hello, I am interested in performing a 2D loess smooth on microarray data, i.e. log2 ratios on a 2D grid, using different spans in the horizontal and vertical directions (the immediate reason being that replicate spots are laid out in the horizontal direction). Is it possible to do this in R? Functions like loess(stats) seem to apply the same span for all predictors, which carries over to

is there a way of estimating derivative curves, similar to the ones we get from 'locpoly', from 'loess' estimation. i am interested in estimation of 1st and 2nd derivatives... --------------------------------- [[alternate HTML version deleted]]

Hi I am trying to get the tricube weights from the loess outputs as I need to calculate an error function which requires the weight. So I have used the following example from the R: cars.lo <- loess(dist ~ speed, cars, span=0.5, degree=1, family="symmetric") Then i try to get the weights: cars.lo$weights [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1

Hi, Our firm is looking to see if it is possible to wrap some of more advanced lib in R like modreg.dll and specifically Loess function in there for both regression and prediction into MSVC++. We will probably take it to either VB or Python for implementation issues. Given that locfit has many utitlities built in for data transformation, this would be a good thing. If that's not

Dear R Users, Does anyone know if I can somehow "right" align the loess function, so it only uses data points up to a certain date, and not around it ? Sort of like rollmean(...align="right") in the rollmean function. Thanks, Tolga Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale

Hi, I wonder why my attempt to extend an existing loess fit to a new data set is producing error. I was trying the following: dat = read.csv(choose.files()) x = dat[,2]; y = dat[,1] x.sort = sort(x) y.loess = loess(y~x, span=0.75) # For testing the above fit with a new dataset: test = read.csv(choose.files()) # test data new_x = test [,1]; new_y = test[,2] new_x.sort = sort(new_x) predicted

Hello all, I wish to fit a loess smother to a plot of Y`X, but in predicting the 95% quantile. Something that will be a combination of what rq (package quantreg} does, with loess. Is there a function/method for doing this? Thanks, Tal ----------------Contact Details:------------------------------------------------------- Contact me: Tal.Galili@gmail.com | 972-52-7275845 Read me:

Dear all, I have been using normalize.loess and I get the following error message when my matrix contains NA values: > my.mat = matrix(nrow=100, ncol=4, runif(400) ) > my.mat[1,1]=NA > my.mat.n = normalize.loess(my.mat, verbose=TRUE) Done with 1 vs 2 in iteration 1 Done with 1 vs 3 in iteration 1 Done with 1 vs 4 in iteration 1 Done with 2 vs 3 in iteration 1 Done with 2 vs 4 in

Good morning, I am Marta Colombo,student at Politecnico,Milan. I am studying local regression models and I am using loess function. My problem is that when I have a loess object I don't know how to display the fitted surface; in fact, while in S when you have a loess object you can see it writing plot(object), in R this dosen't work. Also I'd like to know if there is something like the

Hi, For some reason I have been unable to use the predict function when I desire the standard error to be calculated too. For example, when I try the following: l<- loess(d~x+y, span=span, se=TRUE) p<- predict(l, se=TRUE) I get the following error message: Error in vector("double", length) : vector size cannot be NA In addition: Warning message: In N * M1 : NAs produced by

Hi, We noticed a difference between R versions 1.9.1 and 2.0.1 concerning the loess function. The resulting fitted data is quite different. Furthermore, with the 2.0.1 release, if I apply the loess function several times on the same input data set, I get different results. Has anybody already noticed such a problem ? Thanks Marie-Agn?s

Hi, I have read ?loess help page and did some google on loess, however there are insufficient information on weighted variance. I am wondering that if any of you know of an example or document on weighted variance using loess (), especially for the cases when more than one explanatory variable is involved. Thanks a lot, cruz