Nothing
ecdfquantileplot <- function(variable, by, quantile.prob = 0.5, title)
{
if (!is.numeric(variable))
stop("Arguments variable must be a numeric vector.")
leng <- length(variable)
if (missing(by))
stop("Argument 'by' is mandatory and must be a factor of the same length as argument 'variable'.")
if (length(by) != leng)
stop("Argument 'by' must be a factor of the same length as argument 'variable'.")
group <- as.factor(by)
if (!is.numeric(quantile.prob) | (quantile.prob >= 1) | (quantile.prob <= 0))
stop("Wrong argument 'quantile.prob'. If not omitted it must be a number between 0 and 1
e(the probability defining the quantile).")
# faire un titre par défaut incluant quantile.prob
quantilepc <- quantile.prob * 100
if (missing(title))
{
title <- paste("ECDF plot of ", quantilepc,"th quantiles")
}
dnb <- as.data.frame(table(group))
colnames(dnb) <- c("group", "nb_of_items")
quantilefun <- function(x) stats::quantile(x, probs = quantile.prob, na.rm = FALSE)
dnb$quantiles <- tapply(variable, group, quantilefun)
dnb$ecdf <- (rank(dnb$quantiles) - 0.5) / nrow(dnb)
# order by quantile
dnb <- dnb[order(dnb$quantiles), ]
# fix the order of the modalities of by as in the ordered data set
dnb$group <- factor(dnb$group, levels = dnb$group)
g <- ggplot(dnb, aes(x = .data$group, y = .data$quantiles, size = .data$nb_of_items)) +
geom_point(stat = 'identity') +
coord_flip() + labs(title = title)
round.quartiles.minmax <- unique(round(quantile(dnb$nb_of_items, probs = c(0, 0.25, 0.5, 0.75, 1))))
g <- g + scale_size_continuous(breaks = as.numeric(round.quartiles.minmax)) +
labs(size = "nb. of items")
return(g)
}
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