BAEssd (version 1.0.1)

plot.BAEssd: Plotting Average Errors

Description

Create plots of various average errors as a function of the sample size calculated via the Bayesian Average Error based approach.

Usage

"plot"(x, y = "TE", alpha.line = TRUE, type = "l",  xlab = "Sample Size (n)", ylab = NULL, main = NULL, ...)

Arguments

x

BAEssd object. Result from a Bayesian Average Error based sample size calculation.

y

Character string. Indicates what type of error should be plotted on the y-axis (default being Total Error). One of "TE","TWE","AE1", or "AE2".

alpha.line

Boolean. If TRUE, a horizontal line - indicating the bound on Total Error used in determining the sample size - is added to the plot.

type, xlab, ylab, main

Character string. See plot.default() for more details.

...

Additional parameters to be passed to plotting functions.

Details

Each BAEssd object contains a history of the Average Errors for each sample size considered. plot.BAEssd allows for examination of the trend in errors as the sample size changes.

See Also

ssd, plot.default

Examples

############################################################
# Construct a plot of the Total Error as a function of
# sample size for a one-sample normal experiment with known
# variance.

# load suite of functions
f1 <- norm1KV.2sided(sigma=5,theta0=0,prob=0.5,mu=2,tau=1)

# get TE for many more sample sizes larger than the optimal
attach(f1)
ss1 <- ssd.norm1KV.2sided(alpha=0.25,w=0.5,minn=2,maxn=200,all=TRUE)
ss1
detach(f1)

# create plot of Total Error
plot(ss1)

# create plot of Average Type-I Error
plot(ss1,y="AE1",alpha.line=FALSE)
abline(h=0.05,lty=2)