Get optimality values
Returns a list of optimality values (or one value in particular)
get_optimality(output, optimality = NULL)
output |
The output of either gen_design or eval_design/eval_design_mc |
optimality |
Default 'NULL'. Return just the specific optimality requested. |
A dataframe of optimality conditions. 'D', 'A', and 'G' are efficiencies (value is out of 100). 'T' is the trace of the information matrix, 'E' is the minimum eigenvalue of the information matrix, 'I' is the average prediction variance, and 'Alias' is the trace of the alias matrix.
# We can extract the optimality of a design from either the output of `gen_design()`
# or the output of `eval_design()`
factorialcoffee = expand.grid(cost = c(1, 2),
type = as.factor(c("Kona", "Colombian", "Ethiopian", "Sumatra")),
size = as.factor(c("Short", "Grande", "Venti")))
designcoffee = gen_design(factorialcoffee, ~cost + size + type, trials = 29,
optimality = "D", repeats = 100)
#Extract a list of all attributes
get_optimality(designcoffee)
#Get just one attribute
get_optimality(designcoffee,"D")
# Extract from `eval_design()` output
power_output = eval_design(designcoffee, model = ~cost + size + type,
alpha = 0.05, detailedoutput = TRUE)
get_optimality(power_output)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.