Nothing
summary.parsec <-
function(object, ...) {
if (!is.null(object$profiles)) {
res <- object$profiles$profiles
} else {
res <- data.frame(tmp = 1:object$number_of_profiles)
}
res$weights <- object$profiles_weights
res$"threshold" <- object$threshold
res$"id. function" <- object$identification_function
res$"average rank" <- apply(
object$rank_relative_frequencies,
2,
function(x) sum((1:object$number_of_profiles)*x)
)
res$"abs. poverty gap" <- object$point_absolute_poverty_gap
res$"rel. poverty gap" <- object$point_relative_poverty_gap
res$"abs. wealth gap" <- object$point_absolute_wealth_gap
res$"rel. wealth gap" <- object$point_relative_wealth_gap
if ("tmp" %in% names(res)) res$tmp <- NULL
rownames(res) <- rownames(object$incidence)
ord <- order(-res$"id. function", res$"average rank")
res <- res[ord,]
if (object$number_of_profiles < 11)
print(res)
else {
print(res[1:5,])
cat("\n...\n\n")
print(res[object$number_of_profiles - 4:0,])
}
try(
cat("\npoverty gap = ", object$poverty_gap, "\n",
"wealth gap = ", object$wealth_gap, "\n", sep = "")
, silent = TRUE)
try(
{
if (!is.na(object$inequality)) {
try(cat("inequality = ", object$inequality, sep = ""), silent = TRUE)
} else {
cat("inequality has not been evaluated")
}
cat("\n\nthis function returns a data.frame that summarize each profile\nyou can also summarize\n\n")
}, silent = TRUE)
invisible(res)
}
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