RelativeCosts1 {MOST} | R Documentation |
The relative cost of reduced factorial designs
Description
Draw a graph of the relative cost of complete factorial, fractional factorial, and unbalanced reduced factorial designs, as presented by Collins, Dziak and Li (2009; https://www.ncbi.nlm.nih.gov/pubmed/19719358). For purposes of illustration, a normally distributed response variable, dichotomous factors, and negligible interactions are assumed in this function.
Usage
RelativeCosts1(
number_of_factors,
desired_fract_resolution = 4,
min_target_d_per_factor = 0.2,
condition_costlier_than_subject = 1,
max_graph_ratio = 5
)
Arguments
number_of_factors |
The number of factors to be tested. |
desired_fract_resolution |
The desired resolution of the fractional factorial experiment to be compared. The default value is set to be 4. |
min_target_d_per_factor |
The minimum Cohen's d (standardized difference, i.e., response difference between levels on a given factor, divided by response standard deviation) that is desired to be detected with 80 The default value is set to be 0.2. |
condition_costlier_than_subject |
The default value is set to be 1. |
max_graph_ratio |
The default value is set to be 5. |
Examples
RelativeCosts1(number_of_factors = 9,
desired_fract_resolution = 4,
min_target_d_per_factor = .2,
condition_costlier_than_subject=1,
max_graph_ratio = 4)