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# Helper methods for creating stats
#
# Author: mjskay
###############################################################################
# Summarise a data frame using the given function within the specified
# groups, but keep any columns in the groups that have only one value in them
# (i.e. columns where every value in the column is the same)
summarise_by = function(data, by, fun, ...) {
ddply_(data, by, function(d) {
new_d = fun(d, ...)
missing_names = setdiff(names(d), names(new_d))
# add back in columns with only one value in them
if (nrow(new_d) > 0) {
for (col in missing_names) {
if (length(unique(d[[col]])) == 1) {
if (is.list(d[[col]])) {
# list columns must be wrapped
new_d[[col]] = list(d[[col]][[1]])
} else {
new_d[[col]] = d[[col]][[1]]
}
}
}
}
new_d
})
}
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