similar to: Packages aov, modreg, lqs, psplines

>>>>> "Jose" == Jose Ramon G Albert <toots at info.com.ph> writes: Jose> I have just downloaded this freeware version of R (which seems Jose> to be a clone of S). I was wondering if anyone knows where I Jose> could obtain R or S functions which provide nonparametric Jose> regression curves, e.g. kernel estimators or smoothing Jose> splines.

Full_Name: Charles J. Geyer Version: 1.3.1 OS: linux-gnu-i686 Submission from: (NULL) (134.84.86.22) ltsreg gives incomprehensible (to me) warnings A homework problem for nonparametrics ########## start example ########## library(bootstrap) data(cell) names(cell) attach(cell) library(lqs) plot(V1, V2) fred <- ltsreg(V2 ~ V1 + I(V1^2)) curve(predict(fred, data.frame(V1 = x)), add = TRUE)

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

Hello, My name is edwin, I come from Indonesia, Can you help me, I want package which is contain lqs and lmsreg. I need fast... Can you help me to create bootstrap regression ?? Thx Edwin [[alternative HTML version deleted]]

> 3x4 Error: unexpected symbol in "3x4" R has no idea that you equate "x" as multiplication.. use an astrix > 3*4 [1] 12 dominic wrote > > This is basically my code: > > library(MASS) > lmsreg(formula = b0 ~ b1 + b3 + b1xb2, data=mydata) > > b1xb2 is an interaction but it was the centered value for a continuous > variable times a

I used the supersmoother function in the modreg package as follows: super <- supsmu(ilogemp,award) Then I decided that I might want additional explanatory variables (other than ilogemp) in my model. The ppr function in modreg seemed a logical extension of supsmu from univariate to multidimensional explanatory variables. As a "check" I ran the following: pprest <-

Dear List-Members, I have a problem with the function lqs() from package MASS. In some cases it produces different results for the same settings and needs a random seed to be set, in other cases not. I really cannot understand, why this happens. As well I do not understand what exactly you need the random seed for. Is it a starting point for iterations? Or do different results occur because of

Dear r-help, Is there any available description of the components of lqs objects found in the package "lqs"? > names(slts) [1] "crit" "sing" "coefficients" "bestone" [5] "fitted.values" "residuals" "scale" "terms" [9] "call"

Is there a way of getting a list of indices or something indicating which set of points lqs when doing a regression? The $bestone, seems to return only 2 pts. no matter how good or bad the fit. I checked the archive for the past few months, but didn't find anything. thanks in advance, Mark Hall -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help

Dear List-members, I found a strange behaviour in the lqs function. Suppose I have the following data: y <- c(7.6, 7.7, 4.3, 5.9, 5.0, 6.5, 8.3, 8.2, 13.2, 12.6, 10.4, 10.8, 13.1, 12.3, 10.4, 10.5, 7.7, 9.5, 12.0, 12.6, 13.6, 14.1, 13.5, 11.5, 12.0, 13.0, 14.1, 15.1) x1 <- c(8.2, 7.6,, 4.6, 4.3, 5.9, 5.0, 6.5, 8.3, 10.1, 13.2, 12.6, 10.4, 10.8, 13.1, 13.3, 10.4, 10.5, 7.7, 10.0, 12.0,

I am running linuxppc 2.1.128 on a pmac 8500/200 604e. R 0.63 builds and installs without errors. The compiler is egcs 102 pre and binutils 2.9.1.0.15. When attempting to load modreg with the library command the following error is returned. Error in dyn.load(file) : unable to load shared library "/usr/local/share/R/library/modreg/libs/modreg.so" How can I debug this problem?

Full_Name: George N. White III Version: R-1.3.0 OS: Irix 6.5 Submission from: (NULL) (142.176.61.253) R-1.3.0 was built on Irix 6.5 using gcc and MIPSPro f90. This combination has worked for previous versions, in particular R-1.2.3. $ cd test/Examples $ ../../bin/R --vanilla < modreg-Ex.R > modreg-Ex.Rout This worked in R-1.2.3. It looks like there were a number of cosmetic changes

Is the fortran source code for the MODREG package available? If so can someone send me a zip file or point to a web address? Thanks, Matt. ------------------------------------------------- This mail sent through IMP: www-mail.usyd.edu.au

help Hello, I?m a statistic student in Austria and I have to do a survival analysis in R by using psplines as regressor. My problem is that I sometimes (I think it depends on the choose of the parameters) get a error message, but I do not know what it means. After that I tried the procedure with an example dataset R is providing. Although using the cancer dataset I also get this message. Input:

Hi, I'm just wonder if there is an R equivalent function of gam() - which exist in Splus. Also does anyone know if the library( modreg ), which comes with the installation file of R 1.3.0 (Windows version), exists in the previous versions of R (again, Windows version)? Or does one need to install the library into the previous versions of R explicitly? Thanks, Ko-Kang Wang

I want to report the progress of my attempts to get R running on HP-UX with gcc: Firstly, I could work around the PIC problem by leaving out all the lib stuff (I rebuilt gcc with --enable-share, but this (alone) did not help), e.g. the line gcc -shared -fPIC -o ctest.sl ansari.o fexact.o kendall.o ks.o prho.o swilk.o -L/usr/local/lib -lg2c -lm -L/lib/pa1.1 -L/usr/lib/pa1.1 -u main

Does R have a function like the S(plus) function, lmsreg, Least Median of Squares Regression? I am using R-0.61. Thank you, Mike Fleming mfleming at nass.usda.gov -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

Does R have a function like the S(plus) function, lmsreg, Least Median of Squares Regression? I am using R-0.61. Thank you, Mike Fleming mfleming at nass.usda.gov -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

I'm trying to use least trimmed squares using ltsreg with nsamp="exact". When I use the following: rg <- ltsreg(x,y,nsamp="exact") I get: Error in lqs.default(x, y, nsamp = "exact", method = "lts") : NAs in foreign function call (arg 10) In addition: Warning message: NAs introduced by coercion Incidentally, there are no missings in x or y,

Hi, I am using robust regression, i.e. model.robust<-ltsreg(MXD~ORR,data=DATA). My question:- is there any way to determine the Robust Multiple R-Squared (as returned in the summary output in splus)? I found an equivalent model in the rrcov package which included R-square, residuals etc in it's list of components, but when I used this package the only results returned were equivalent to