similar to: aregImpute: warning message re: acepack and mace

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

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

Dear all; I am trying to use HMISC imputation function to perform multiple imputations on my data and I keep on getting errors for the code given in the help files. When using "aregImpute" the error is; >f <- aregImpute(~y + x1 + x2 + x3, n.impute=100) Loading required package: acepack Iteration:1 Error in .Fortran("wclosepw", as.double(w), as.double(x),

(Sorry, I had the previous emails on a different machine.) Thanks to Prof Ripley for diagnosing the problem with inconsistent capitals under Win98. It's 'interesting': * I had ...\acepack\Src\Ace.f Avas.f and Rlsmo.f (tar'ed in a Unix machine and Ws_FTP'ed to the PC) * when the directory name was changed to ...\acepack\src it still didn't work *

Hello R experts I am using Hmisc aregImpute and Impute (following example on page 105 of The Hmisc and Design Libraries). *My end goal is to have NAs physically replaced in my dataframe. I have read the help pages and example in above sited pdf file, but to no avail. Here is example of what I did. Ph, my data frame, is attached. > xt <- aregImpute (~ q5 + q22rev02 + q28a, n.impute=10,

Hello R-help, Thanks for everyone's very helpful suggestions so far. I am now trying to use aregImpute for my missing data imputation. Here are the code and error messages. Any suggestions would be very much appreciated. Sincerely, Anders Corr ######################################## #Question for R-Help on aregImpute ######################################## #DOWNLOAD DATA (61Kb)

Full_Name: Michael R. Allen Version: 1.01 OS: linux redhat Submission from: (NULL) (149.149.32.46) Hello, Thought you might be interested. I tried to load the package tripack needed by the sgeostat package. After some careful searching, three packages were found which had the same error. Here is the output. Mike > library(acepack) Error in dyn.load(x, as.logical(local),

Hi, I have a dataframe ds1.2 - 503 categorial variables and 1 continuous response variables. I ran aregImpute to deal with NA's and got the followig error: > fmla = terms( Response ~ . ,data=ds1.2) > ds.i = aregImpute(fmla,data=ds1.2) Error in matrix(as.double(1), nrow = n, ncol = p, dimnames = list(rnam, : length of dimnames [2] not equal to array extent Could you explain

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

Dear r-help list, I'm trying to use multiple imputation for my MSc thesis. Having good exemples using the Hmisc package, I tried the aregImpute function. But with my own dataset, I have the following error : Erreur dans matxv(X, xcof) : columns in a (51) must be <= length of b (50) De plus : Warning message: In f$xcoef[, 1] * f$xcenter :   la taille d'un objet plus long n'est pas

I updated R to the last 2.4.1 version and unfortunately I can not load languageR any longer. In R-2.4.1, LanguageR requires acepack, but Hmisc doesn't work when acepack is loaded. > library(languageR) Loading required package: Design Loading required package: Hmisc Loading required package: acepack Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load

I found the old ace function (from acepack) valuable a couple of years ago in helping to find a transformation of the response to approximate additivity in smooth functions of the predictors. ace used alternating conditional expectations, but I'm not overly fixated on algorithms as long as it works pretty well. Is there another package that has that sort of functionality? I haven't been

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)

From: <david_foreman at doctors.org.uk> Subject: [R] Re: extracting datasets from aregImpute objects To: <r-help at stat.math.ethz.ch> Message-ID: <1092391719_117440 at drn10msi01> Content-Type: text/plain; charset="us-ascii" I've tried doing this by specifying x=TRUE, which provides me with a single imputation, that has been useful. However, the help file

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

>From Internet I downloaded the file Hmisc.zip and used it for R package updation. and R gave the message 'Hmisc' successfull unpacked. But when I use the functions like aregImpute the package is displaying coundn't find the function Where as in help.search it is giving that use of the function >

Hello - When trying to use Hmisc library's aregImpute function on R 1.7.0, I got the following error -- shown here using the example code from the help page --- under both Linux and Mac OS X 10.2.5: set.seed(3) x1 <- factor(sample(c('a','b','c'),1000,T)) x2 <- (x1=='b') + 3*(x1=='c') + rnorm(1000,0,2) x3 <- rnorm(1000) y <- x2 +

I've tried doing this by specifying x=TRUE, which provides me with a single imputation, that has been useful. However, the help file possibly suggests that I should get a flat-file matrix of n.impute imputations, presumably with indexing. I'm a bit stuck using alternatives to aregImpute, as neither MICE nor Amelia seem to like my dataset, and Frank Harrell no longer recommends Transcan

I am a new user of R for Windows, enthusiast about the many functions of the Design and Hmisc libraries. I combined the results of a Cox regression model after multiple imputation (of missing values in some covariates). Now I got my vector of coefficients (and of standard errors). My question is: How could I use directly that vector to run programs such as 'nomogram', 'calibrate',

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