TwoPhaseDesign {TwoPhaseCorR} | R Documentation |
Two-Phase Experimental Design Construction and Analysis
Description
Constructs and evaluates a two-phase experimental design using cyclic methods. Calculates information matrices and Canonical Efficiency Factor (CEF) under correlated error structures.
Usage
TwoPhaseDesign(v, rho, plot = TRUE)
Arguments
v |
Integer (>=3). Number of treatments in Phase II. |
rho |
Numeric (-1 < rho < 1). Correlation coefficient. |
plot |
Logical. If TRUE (default), generates a CEF plot using ggplot2. |
Value
A list containing the Phase I and Phase II layouts, combined layout, information matrices for treatment and interaction effects, and a table and plot of Canonical Efficiency Factors.
References
McIntyre, G. A. (1955). Design and analysis of two-phase experiments. Biometrics, 11(3), 324-334. <doi:10.2307/3001770>
Examples
result <- TwoPhaseDesign(v = 3, rho = 0.1, plot = FALSE)
print(result$cef_table)
[Package TwoPhaseCorR version 1.0.0 Index]