qqunif: Q-Q plot for a uniform distribution.

In HardyWeinberg: Statistical Tests and Graphics for Hardy-Weinberg Equilibrium

Q-Q plot for a uniform distribution.

Description

qqunif makes a Q-Q plot against a uniform distribution for the supplied data vector.

Usage

qqunif(x, logplot = FALSE, lbs = 1:length(x), texton = FALSE, 
          xylim = NULL, main = "Q-Q plot for a uniform distribution",
          plotline = 0, xlab = "Expected p-value", 
          ylab = "Observed p-value", colvec=rep("black",length(x)),
	  colline = "black", ...)

Arguments

x	The data vector
logplot	If logplot is set to true, then the log10 of the p-values will be used in the plot. If not, untransformed p-values will be used.
lbs	A vector of labels for the points in the Q-Q plot
texton	Logical indicating whether labels should be plotted or not
xylim	Shared upper limit x and y axis in the plot
main	Title for the plot
plotline	Setting plotline=0 plots a (0,1) line; plotline=1 plots a robust fit,
xlab	label for the x axis
ylab	label for the y axis
colvec	vector with colours for the points in the QQ plot
colline	colour for the line in the plot
...	Any additional arguments for the plot instruction

Value

pvals	observed probabilities
epvals	expected probabilities

Author(s)

Jan Graffelman ([e-mail])

See Also

qqnorm

Examples

   x <- runif(1000)
   z <- qqunif(x)

HardyWeinberg documentation built on May 29, 2024, 6:17 a.m.