spotPlotSeverityBasic: spotPlotSeverityBasic

In SPOT: Sequential Parameter Optimization Toolbox

spotPlotSeverityBasic

Description

spotPlotSeverityBasic

Usage

spotPlotSeverityBasic(y0, y1, add = FALSE, n = NA, alpha, rightLimit = 1)

Arguments

y0	first input vector
y1	second input vector
add	default value is FALSE
n	default value is NA, which means length of y0 will be used for n
alpha	description
rightLimit	description of rightLimit, default value is 1

Value

description of return value

Examples

### Example from D G Mayo and A Spanos. 
### Severe Testing as a Basic Concept in a Neyman–Pearson Philosophy of Induction. 
### British Journal for the Philosophy of Science, 57:323–357, 2006. (fig 2):
x0 <- 12.1
mu1 <- seq(11.9,13,0.01)
n <- 100
sigma <- 2
alpha <- 0.025
plot(mu1, spotSeverityBasic(x0, mu1, n, sigma, alpha), type = "l", ylim=c(0,1), col="blue")
abline(h=0)
abline(h=1)
 abline(h=0.95)
abline(v=12.43)
### plot power:
mu0 <- 12
points(mu1, spotPower(alpha, mu0, mu1, n, sigma), type = "l", ylim=c(0,1), col="green")
abline(v=12.72)

SPOT documentation built on June 26, 2022, 1:06 a.m.