mosaic (version 0.14)

xpnorm: Augmented versions of pnorm and qnorm

Description

These functions behave similarly to the functions with the initial x removed from their names but add more verbose output and graphics.

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

q

quantile

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 interactivity.

p

probability

...

additional arguments.

See Also

histogram, chisq.test, pnorm, qnorm, qqmath, and plot.

Examples

xpnorm(650, 500, 100)
xqnorm(.75, 500, 100)
## Not run: 
# if (rstudio_is_available() & require(manipulate)) {
#   manipulate(xpnorm(score, 500, 100, verbose=verbose),
#     score = slider(200,800),
# 	   verbose = checkbox(TRUE, label="Verbose Output")
#   )
# }
# ## End(Not run)