Usage
xpnorm(q, mean = 0, sd = 1, plot = TRUE, verbose = TRUE,
invisible = FALSE, digits = 4, lower.tail = TRUE,
log.p = FALSE, xlim = mean + c(-4, 4) * sd,
ylim = c(0, 1.4 * dnorm(mean, mean, sd)), vlwd = 2,
vcol = trellis.par.get("add.line")$col, rot = 45,
manipulate = FALSE, ...) xqnorm(p, mean = 0, sd = 1, plot = TRUE, verbose = TRUE,
digits = 4, lower.tail = TRUE, log.p = FALSE, xlim,
ylim, invisible = FALSE, vlwd = 2,
vcol = trellis.par.get("add.line")$col, rot = 45, ...)
Arguments
mean,sd
parameters of normal distribution.
plot
logical. If TRUE, show an illustrative
plot.
verbose
logical. If TRUE, display verbose
output.
invisible
logical. If TRUE, return value
invisibly.
digits
number of digits to display in output.
lower.tail
logical. If FALSE, use upper tail
probabilities.
log.p
logical. If TRUE, uses the log of
probabilities.
xlim,ylim
limits for plotting.
vlwd,vcol
line width and color for vertical
lines.
rot
angle of rotation for text labels.
manipulate
logical. If TRUE and in RStudio, then
sliders are added for ineractivity.