# TODO: retire in favor of {datawizard}?
#' @keywords internal
.reshape_to_long <- function(x,
names_to = "group",
values_to = "values",
columns = colnames(x),
id = "id") {
if (is.numeric(columns)) columns <- colnames(x)[columns]
dat <- stats::reshape(
as.data.frame(x),
idvar = id,
ids = row.names(x),
times = columns,
timevar = names_to,
v.names = values_to,
varying = list(columns),
direction = "long"
)
if (is.factor(dat[[values_to]])) {
dat[[values_to]] <- as.character(dat[[values_to]])
}
dat[, 1:(ncol(dat) - 1), drop = FALSE]
}
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