plot.sim.seqtest.cor {seqtest} | R Documentation |
Plot sim.seqtest
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 |
|
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 ( |
pch |
plotting character. |
lty |
line type. |
lwd |
line width. |
... |
further arguments passed to or from other methods. |
Author(s)
Takuya Yanagida takuya.yanagida@univie.ac.at
References
Schneider, B., Rasch, D., Kubinger, K. D., & Yanagida, T. (2015).
A Sequential triangular test of a correlation coefficient's null-hypothesis: 0 < \rho \le \rho
0.
Statistical Papers, 56, 689-699.
See Also
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)
[Package seqtest version 0.1-0 Index]