exact.n (version 1.1.1)

n1.get.solution: Find minimal n1 achieving target power for range of values of p0

Description

This function calls n1.get.vector, runs if for all values of p0 within the supplied range and then takes the worst (i.e. largest) solution for n1

Usage

n1.get.solution(data, beta, p0, delta, alpha, type = 1)

Value

vector of solutions for n1 with name vector equal to range of n0 values

Arguments

data

power database for selected value of alpha and delta

beta

scalar target for power

p0

single value or range of values for baseline probability

delta

value of clinically relevant difference

alpha

value of nominal size of test

type

type of minimum solution (See details)

Author

Chris J. Lloyd

References

C.J. Lloyd (2022) Exact samples sizes for clinical trials subject to size and power constraints. Preprint. tools:::Rd_expr_doi("10.13140/RG.2.2.11828.94085")

Examples

# Load toy version of power library for alpha=0.025, delta=0.20.
rdata_file = system.file('files', 'LIB.a025.d20.Rdata', package = 'exact.n')
load(rdata_file)
# n0 solutions when p0=0.5
n1.get.solution(LIB.a025.d20,beta=.7,p0=0.5,delta=0.2,alpha=0.025,type=1)
# n0 solutions for p0 between 0.4 ad 0.5
n1.get.solution(LIB.a025.d20,beta=.7,p0=c(0.4,0.5),delta=0.2,alpha=0.025,type=1)