similar to: avas

Hi, Does any one know how we can decide on the correct transformation in (avas and ace) after having drawn the graphs y,g(y) x ,s(x) and g(y) ,s(x) . Is it possible by only looking at patterns the graphs follow for example when y ,g(y) shows a logaritmic pattern can we say that log transform on y is suitable? Thanks for your help. Regards [[alternative HTML version deleted]]

Hello R helpers! I'm using the avas function form package acepack (called from areg.boot package Hmisc) to estimate automatically transformations of predictors (in this case monotonous) and response. Well, it seems to work quite well, but I have 3 basic questions: - which set of basis functions is used in this procedure? - how do I back transform my estimate (y hat ) to the originasl scale?

To whom should bug reports of the R port of acepack be directed? On a SPARC/Solaris 2.6 or 2.7 (SunOS 5.6 or 5.7) system running R-1.0.0 the avas example fails > library(acepack) > example(avas) avas> TWOPI <- 8 * atan(1) avas> x <- runif(200, 0, TWOPI) avas> y <- exp(sin(x) + rnorm(200)/2) avas> a <- avas(x, y) Process R bus error (core dumped) at Mon

I am using ACE/AVAS to fit a non-parametric regression model to a multivariate data set. Is there a way to add confidence intervals to the fit and predictions by using bootstrap? Thanks for any suggestions. [[alternative HTML version deleted]]

Dear all, I have a problem installing a package required by Hmisc on MacOS 10.3.5 with R 2.00. g77 -fno-common -g -O2 -c avas.f -o avas.o g77 -fno-common -g -O2 -c rlsmo.f -o rlsmo.o gcc -bundle -flat_namespace -undefined suppress -L/usr/local/lib -o acepack.so ace.o avas.o rlsmo.o -L/usr/local/lib -L/usr/local/lib/gcc/powerpc-apple-darwin6.8/3.4.2

In platform i386-pc-linux-gnu arch i386 os linux-gnu system i386, linux-gnu status major 1 minor 7.1 year 2003 month 06 day 16 language R using debian testing (latest Knoppix) I get an error when installing acepack: gcc

This ancient bug was tracked to the acepack library, line 556 in line src/avas.f The troublesome line is: if (x(n).gt.x(1)) go to 30 Since the input arguments are empty, referencing x(1) and x(n) cause a Segmentation fault, and cause R to crash. Acepack author and maintainer Rob Tibshirani <tibs at utstat.toronto.edu> has been contacted with this information. This is not a

Hello, I would like to perform a monotone transformation of y (my response variable) to achieve additivity. My model is as follows y~X+items I do not want to transform X or items (both of these variables are factors) > X [1] 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 6 6 6 6 6 6 6 6 6 7 7 7 7 7 7 [61] 7 7 7 8 8 8 8 8 8 8 8 8 Levels: 1 2 3 4 5

Hi Folks, Mac OS 10.4.4 R 2.2.1(2005-12-20 r36812) Hmisc 3.0-10 acepack 1.3-2.2 I had R crashes while running areg.boot in Hmisc (see old message below), but now I realize that the problem appears to be in the avas function in acepack. I tried running running the avas example (in acepack package), and got an immediate crash. Any thoughts? The Apple crash report (from R GUI crash) follows.

I have an hp9000/c160 with hpux10.20+gcc2.7.2. When I try the example in the ace help I get: > library(acepack) > ?ace > TWOPI <- 8*atan(1) > x <- runif(200,0,TWOPI) y <- exp(sin(x)+rnorm(200)/2) a <- avas(x,y) /usr/lib/dld.sl: Unresolved symbol: pow_dd (code) from /home/buyuk/R-0.50-a1/lib/acepack.so ABORT instruction (core dumped)

Dear colleagues: I've been storing up this question for a long time and apologize for the length and verbosity of it. I am having trouble in consulting with graduate students on their research projects. They are using surveys to investigate the sources of voter behavior or attitudes. They have predictors that are factors, some ordered, but I am never confident in telling them what

I've put all ``current'' add-on packages into CRAN's source/contrib tree and created an INDEX file (attached below). As you can see, currently we have acepack bootstrap ctest date e1071 fracdiff gee jpn snns splines survival4 (Yes, e1071 and jpn are new ... more on the latter in a later mail.) In the near future, I am hoping for the following: oz (Bill

Kevin, I was glad to see your list. Some of the items were reasons for creating some of the functions in Hmisc. summarize and mApply in conjunction with llist handle labeling of output - this is actually quite tricky and the Hmisc solution isn't perfect. Dropping unused factor levels by default (with easy override) is an old battle and I agree with you completely that for everyday data

I am using the 0.50 alpha version of R packaged (in 3 parts) by Kurt for Debian Linux. Package: r-base Status: install ok installed Priority: optional Section: local Maintainer: Kurt Hornik <Kurt.Hornik at ci.tuwien.ac.at> Version: 0.50b7-1 Depends: libc5, xlib6, libreadline2 Description: R, a language not entirely unlike the language S. Package: r-contrib Status: install ok

>I am trying to use the Hmisc function transace to transform predictors > > test<-cbind(flowstress,pressres,alloy) > xtrans<-transace(x,binary=pressres',monotonic='flowstress', categorical='alloy') > > >and I am getting the following message?? >Error in ace(x[, -i], x[, i], monotone = im, categorical = ic) : > unused argument(s) (monotone ...)

Hello Does anyone have experience with _real_ real time streaming - i.e. with very little delay/latency? I need to stream from point A to point B in near-CD quality via a 100 Mbit network. That is easily done using icecast. But here is the tricky bit: I want as little delay in the signal as possibble - preferrably below 50ms! I have made a test setup encoding on and serving from an 800 MHz

Hi, I am working on a multivariate linear regression of the form y = Ax. I am seeing a great dispersion of y w.r.t x. For example, the correlations between y and x are very small, even after using some typical transformations like log, power. I tried with simple linear regression, robust regression and ace and avas package in R (or splus). I didn't see an improvement in the fit and

Dear R-helpers, I'm learning how to compile R packages with fortran routines and use the acepack source as an example. After some hiccups (Guido told me about the need to set make_mode=UNIX) I got to the following: `make pkg-acepack' runs without error (see below), but it does not * compile any .f file in acepack/src * (hence) try to create any dll file or libs (I'm

I installed the acepack package under Linux (gcc 2.7.2, R-0.61.1). Installation without problem. But --------------------------------------------------------------------- sirio[~]% R R : Copyright 1998, Robert Gentleman and Ross Ihaka Version 0.61.1 Alpha (January 12, 1998) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type

Hi, I am a newbie to R, just trying to switch from Splus. I am wondering to know if there is any such command in R as "attach" in Splus which can be used to attach the full directory. Also, any idea/referrence about, how to load c functions in R would be highly appreciated. Thanks, Utsav