[EMAIL PROTECTED] wrote:
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 messageĻ
Error in ace(x[, -i], x[, i], monotone = im, categorical = ic) : unused argument(s) (monotone ...)


Any idea?


thanks anne

thank for your help
Anne

The corrected version (below) will fix that problem but note that there is a bug in ace causing it not to allow a monotonicity constraint when a variable is on the left hand side. This is inconsistent with the ace documentation. There are other problems in ace in which it checks column numbers against the number of rows in the x matrix instead of the number of columns. The internal version of ace defined inside areg.boot fixes the latter problem. Note that I reported these problems a long time ago.


Frank

transace <- function(x, monotonic=NULL, categorical=NULL, binary=NULL, pl=TRUE) {
if(.R.) require('acepack') # provides ace, avas


nam <- dimnames(x)[[2]]
omit <- is.na(x %*% rep(1,ncol(x)))
omitted <- (1:nrow(x))[omit]
if(length(omitted)) x <- x[!omit,]
p <- ncol(x)
xt <- x  # binary variables retain original coding
if(!length(nam)) stop("x must have column names")
rsq <- rep(NA, p)
names(rsq) <- nam


for(i in (1:p)[!(nam %in% binary)]) { lab <- nam[-i] w <- 1:(p-1) im <- w[lab %in% monotonic] ic <- w[lab %in% categorical] if(nam[i] %in% monotonic) im <- c(0, im) if(nam[i] %in% categorical) ic <- c(0, ic) m <- 10*(length(im)>0)+(length(ic)>0) if(m==11) a <- ace(x[,-i], x[,i], mon=im, cat=ic) else if (m==10) a <- ace(x[,-i], x[,i], mon=im) else if(m==1) a <- ace(x[,-i], x[,i], cat=ic) else a <- ace(x[,-i], x[,i]) xt[,i] <- a$ty rsq[i] <- a$rsq if(pl)plot(x[,i], xt[,i], xlab=nam[i], ylab=paste("Transformed",nam[i])) }

cat("R-squared achieved in predicting each variable:\n\n")
print(rsq)

attr(xt, "rsq") <- rsq
attr(xt, "omitted") <- omitted
invisible(xt)
}





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--
Frank E Harrell Jr   Professor and Chair           School of Medicine
                     Department of Biostatistics   Vanderbilt University

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