equiv.increase: Calculate equivalent increase from two dose-response curves

In hbim: Hill/Bliss Independence Model for Combination Vaccines

Calculate equivalent increase from two dose-response curves

Description

This function takes two curves defined by vectors of x and y values and calculates the equivalent increase in the x value at the response value for the first curve at e1.

Usage

equiv.increase(x1, y1, x2, y2, e1, xlog = TRUE)

Arguments

x1	x vector for first curve
y1	y vector for first curve
x2	x vector for second curve
y2	y vector for second curve
e1	vector of y responses of first curve for associating with output
xlog	TRUE if x values are log transformed, changes the output

Details

The function repeatedly uses the approx function to do linear interpolation.

Value

A list with 5 components

a1	vector of x values associated with e1 from first curve
e2	vector of y values associated with a1 from the second curve
a2	vector of x values associated with e2 from the second curve
e1	input vector for e1
equiv.increase	vector of equivalent increases associated with e1

Examples

data(deff.sigma)
D<-deff.sigma
equiv.increase(D$mu,D$out1[,2],D$mu,D$out2[,2],.5)

hbim documentation built on Aug. 24, 2023, 5:10 p.m.