## Not run:
# chosenDistr1 <- fit.perc()
# chosenDistr1
#
# chosenDistr2 <- fit.perc(tolPlot = 5)
# chosenDistr2
#
# chosenDistr3 <- fit.perc(p = c(0.3, 0.8, 0.9), q = c(10, 20, 40))
# chosenDistr3
#
# chosenDistr4 <- fit.perc(p = c(0.3, 0.8, 0.9), q = c(10, 30, 40))
# chosenDistr4
#
# chosenDistr5 <- fit.perc(p = c(0.3, 0.8, 0.9), q = c(10, 30, 40), tolPlot = 10)
# chosenDistr5
#
# ## Fitting a PERT distribution
# p <- c(0.025, 0.5, 0.6, 0.975)
# q <- round(mc2d::qpert(p = p, min = 0, mode = 3, max = 10, shape = 5), digits = 2)
# chosenDistr6 <- fit.perc(p = p, q = q, tolPlot = 10)
# chosenDistr6
# ## End(Not run)
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