get_attribute: Get attribute values

In skpr: Design of Experiments Suite: Generate and Evaluate Optimal Designs

Get attribute values

Description

Returns one or more of underlying attributes used in design generation/evaluation

Usage

get_attribute(output, attr = NULL, round = TRUE)

Arguments

output	The output of either 'gen_design()' or 'eval_design()'/'eval_design_mc()“
attr	Default 'NULL'. Return just the specific value requested. Potential values are 'model.matrix' for model used, 'moments.matrix', 'variance.matrix', 'alias.matrix', 'correlation.matrix', and 'model' for the model used in the evaluation/generation of the design.
round	Default 'TRUE'. Rounds off values smaller than the magnitude '1e-15“ in the 'correlation.matrix' and 'alias.matrix' matrix attributes.

Value

A list of attributes.

Examples

# We can extract the attributes 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_attribute(designcoffee)

#Get just one attribute
get_attribute(designcoffee,"model.matrix")

# Extract from `eval_design()` output
power_output = eval_design(designcoffee, model = ~cost + size + type,
                          alpha = 0.05, detailedoutput = TRUE)

get_attribute(power_output,"correlation.matrix")

skpr documentation built on July 9, 2023, 7:23 p.m.