perksUC.RdDensity, cumulative distribution function, quantile function and random generation for the Perks distribution.
dperks(x, scale = 1, shape, log = FALSE)
pperks(q, scale = 1, shape, lower.tail = TRUE, log.p = FALSE)
qperks(p, scale = 1, shape, lower.tail = TRUE, log.p = FALSE)
rperks(n, scale = 1, shape)dperks gives the density,
pperks gives the cumulative distribution function,
qperks gives the quantile function, and
rperks generates random deviates.
See perks for details.
probs <- seq(0.01, 0.99, by = 0.01)
Shape <- exp(-1.0); Scale <- exp(1);
max(abs(pperks(qperks(p = probs, Shape, Scale),
Shape, Scale) - probs)) # Should be 0
#> [1] 5.689893e-16
if (FALSE) x <- seq(-0.1, 07, by = 0.01);
plot(x, dperks(x, Shape, Scale), type = "l", col = "blue", las = 1,
main = "Blue is density, orange is cumulative distribution function",
sub = "Purple lines are the 10,20,...,90 percentiles",
ylab = "", ylim = 0:1)
#> Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'plot': object 'x' not found
abline(h = 0, col = "blue", lty = 2)
#> Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...): plot.new has not been called yet
lines(x, pperks(x, Shape, Scale), col = "orange")
#> Error: object 'x' not found
probs <- seq(0.1, 0.9, by = 0.1)
Q <- qperks(probs, Shape, Scale)
lines(Q, dperks(Q, Shape, Scale), col = "purple", lty = 3, type = "h")
#> Error in plot.xy(xy.coords(x, y), type = type, ...): plot.new has not been called yet
pperks(Q, Shape, Scale) - probs # Should be all zero
#> [1] -5.551115e-16 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
#> [6] -2.220446e-16 -2.220446e-16 0.000000e+00 0.000000e+00
abline(h = probs, col = "purple", lty = 3) # \dontrun{}
#> Error in int_abline(a = a, b = b, h = h, v = v, untf = untf, ...): plot.new has not been called yet