plot.sim.seqtest.cor: Plot sim.seqtest

In miscor: Miscellaneous Functions for the Correlation Coefficient

Description

This function plots the sim.seqtest.cor object

Usage

## S3 method for class 'sim.seqtest.cor'
plot(x, plot.lines = TRUE, plot.nom = TRUE,
                               ylim = NULL, type = "b", pch = 19, lty = 1, lwd = 1, ...)

Arguments

x	sim.seqtest.cor object.
plot.lines	plot lines connecting points withe the x- and y-axis.
plot.nom	plot line at the nominal alpha.
ylim	the y limits of the plot.
type	what type of plot should be drawn ("p" for points, "l" for lines and "b" for both).
pch	plotting character.
lty	line type.
lwd	line width.
...	further arguments passed to or from other methods.

Author(s)

Takuya Yanagida [e-mail]

References

Schneider, B., Rasch, D., Kubinger, K. D., & Yanagida, T. (2015). A Sequential triangular test of a correlation coefficient's null-hypothesis: 0 < ρ ≤ ρ0. Statistical Papers, 56, 689-699.

See Also

sim.seqtest.cor, seqtest.cor

Examples

## Not run: 

#---------------------------------------------
# Determine optimal k and nominal type-II-risk
# H0: rho <= 0.3, H1: rho > 0.3
# alpha = 0.01, beta = 0.05, delta = 0.25

# Step 1: Determine the optimal size of subsamples (k)

sim.obj.1 <- sim.seqtest.cor(rho.sim = 0.3, k = seq(4, 16, by = 1), rho = 0.3,
                             alternative = "greater",
                             delta = 0.25, alpha = 0.05, beta = 0.05,
                             runs = 10000)

plot(sim.obj.1)

# Step 2: Determine the optimal nominal type-II-risk based on
#         the optimal size of subsamples (k) from step 1

sim.obj.2 <- sim.seqtest.cor(rho.sim = 0.55, k = 16, rho = 0.3,
                             alternative = "greater",
                             delta = 0.25, alpha = 0.05, beta = seq(0.05, 0.15, by = 0.01),
                             runs = 10000)

plot(sim.obj.2)

## End(Not run)

miscor documentation built on May 1, 2019, 10:14 p.m.