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### actuar: Actuarial Functions and Heavy Tailed Distributions
###
### Display all values of a matrix of vectors by 'unrolling' the
### object vertically or horizontally.
###
### AUTHORS: Louis-Philippe Pouliot,
### Vincent Goulet <vincent.goulet@act.ulaval.ca>
unroll <- function(x, bycol = FALSE, drop = TRUE)
{
dx <- dim(x)
if (length(dx) > 2L)
stop(sprintf("%s must be a vector or a matrix", sQuote("x")))
if (length(dx) < 2L)
x <- rbind(x, deparse.level = 0L)
fun <- function(x) if (identical(x, NA)) NA else length(x)
frequencies <- array(sapply(x, fun), dim = dim(x))
if (bycol)
{
lengths <- colSums(frequencies, na.rm = TRUE)
mat <- matrix(NA, max(lengths), ncol(x), dimnames = dimnames(x))
for (i in seq_len(ncol(x)))
if (0L < (lengthi <- lengths[i]))
mat[seq_len(lengthi), i] <- unlist(x[!is.na(x[, i]), i])
}
else
{
lengths <- rowSums(frequencies, na.rm = TRUE)
mat <- matrix(NA, nrow(x), max(lengths),
dimnames = list(rownames(x), NULL))
for (i in seq_len(nrow(x)))
if (0L < (lengthi <- lengths[i]))
mat[i, seq_len(lengthi)] <- unlist(x[i, !is.na(x[i, ])])
}
mat[, , drop = drop]
}
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