## Rewritten 11/2012; the prior version of the code failed with the
## formula y ~ . - zed; zed got included in the result
## Rather than be more sophisticated in how I understand the terms
## structure (because there might be yet another special case we've not
## thought of) use model.matrix on modified data.
##
rpart.matrix <- function(frame)
{
## First line is just a failsafe: this should always be called with
## a model frame.
if (!inherits(frame, "data.frame") ||
is.null(attr(frame, "terms"))) return(as.matrix(frame))
## turn other classes into numerics.
## We replace columns in frame rather than making a new object, since
## model.matrix wants a model.frame object as it's argument.
for (i in 1:ncol(frame)) {
if (is.character(frame[[i]])) frame[[i]] <- as.numeric(factor(frame[[i]]))
else if (!is.numeric(frame[[i]])) frame[[i]] <- as.numeric(frame[[i]])
}
## Toss the intercept term when done (column 1)
X <- model.matrix(attr(frame, "terms"), frame)[, -1L, drop = FALSE]
## model.matrix labels columns with backticks, and rpart.matrix did not.
colnames(X) <- sub("^`(.*)`", "\\1", colnames(X))
class(X) <- c("rpart.matrix", class(X)) # ipred package expects this class
X
}
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