plots: Power and MDES Curves

In metinbulus/cosa: Bound Constrained Optimal Sample Size Allocation

Description

Plots statistical power or minimum detectable effect size curves with (1-α)x100 % confidence interval for the design of interest.

Usage

## S3 method for class 'power'
plot(x, score = NULL, ypar = "mdes",  xpar = NULL,
          xlim = NULL, ylim = NULL,
          xlab = NULL, ylab = NULL,
          main = NULL, sub = NULL,
          locate = FALSE, benchmark = NULL, ...)

## S3 method for class 'mdes'
plot(x, score = NULL, ypar = "mdes",  xpar = NULL,
          xlim = NULL, ylim = NULL,
          xlab = NULL, ylab = NULL,
          main = NULL, sub = NULL,
          locate = FALSE, benchmark = NULL, ...)

## S3 method for class 'cosa'
plot(x, score = NULL, ypar = "mdes",  xpar = NULL,
          xlim = NULL, ylim = NULL,
          xlab = NULL, ylab = NULL,
          main = NULL, sub = NULL,
          locate = FALSE, benchmark = NULL, ...)

Arguments

x	an object returned from functions in cosa package.
score	vector or list; an empirical score variable or an object with class 'score' returned from the inspect.score() function.
ypar	character; "mdes" or "power" on y axis.
xpar	character; one of the sample sizes on x axis.
xlim	limits for xpar.
ylim	limits for ypar.
xlab	x axis label.
ylab	y axis label.
main	title for the plot.
sub	subtitle for the plot.
locate	logical; TRUE locates parameter values for design x on the plot.
benchmark	benchmark line.
...	other graphical parameters to pass to plot.new().

Examples

d1 <- mdes.bcrd3r2(rho2 = .10, rho3 = .20, omega3 = .30,
                   n1 = 20, n2 = 44, n3 = 50)
plot(d1, xpar = "n3", xlim = c(30, 100))

metinbulus/cosa documentation built on Sept. 9, 2021, 12:04 p.m.