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# see https://stat.ethz.ch/pipermail/r-help/2009-January/185561.html
# for discussion of expand.dft(). Modified for abd package.
#V3
expand.dft <- function(x, col.exp, na.strings = "NA", as.is = FALSE, dec = ".") {
# Error checking
if (missing(x)) {
stop("x is missing. You must supply a data.frame.")
}
if (missing(col.exp)) {
stop("col.exp is missing You must supply a column name to expand.")
}
if (class(x) != "data.frame") {
stop("x must be a data.frame.")
}
if (class(col.exp) != "character") {
if (class(col.exp) != "numeric") {
stop("col.exp must be character or numeric.")
}
}
# Get the column name if col.exp is numeric
if (class(col.exp) == "numeric") col.exp <- names(x)[col.exp]
# Frequencies to expand via rep()
to.expand <- x[, col.exp]
DF <- sapply(1:nrow(x), function(i) x[rep(i, each = to.expand[i]), ],
simplify = FALSE)
DF <- subset(do.call("rbind", DF), select = -(get(col.exp)))
for (i in 1:ncol(DF)) {
DF[[i]] <- type.convert(as.character(DF[[i]]),
na.strings = na.strings, as.is = as.is, dec = dec)
}
DF
}
#V2
#expand.dft <- function(x, col.exp, na.strings = "NA", as.is = FALSE, dec = "."){
# to.expand <- eval(substitute(x[a], list(a = col.exp)))[, 1]
# DF <- sapply(1:nrow(x), function(i) x[rep(i, each = to.expand[i]), ],
# simplify = FALSE)
# DF <- subset(do.call("rbind", DF), select = -(get(col.exp)))
# for (i in 1:ncol(DF)){
# DF[[i]] <- type.convert(as.character(DF[[i]]),
# na.strings = na.strings, as.is = as.is, dec = dec)
# }
#DF
#}
# V1
#expand.dft <- function(x, col.exp, na.strings = "NA", as.is = FALSE, dec = "."){
#
# DF <- sapply(1:nrow(x), function(i) x[rep(i, each = x$Frequency[i]), ],
# simplify = FALSE)
# DF <- subset(do.call("rbind", DF), select = -Frequency)
# for (i in 1:ncol(DF)){
# DF[[i]] <- type.convert(as.character(DF[[i]]),
# na.strings = na.strings, as.is = as.is, dec = dec)
# }
#DF
#}
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