Returns a list of optimality values (or one value in particular)
get_optimality(output, optimality = NULL)
The output of either gen_design or eval_design/eval_design_mc
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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.