validate | R Documentation |
This function can be used to validate the recommendation obtained from a sample size analysis.
validate( method, replications = 3000, cores = NULL, backend_type = NULL, verbose = TRUE )
method |
An object of class |
replications |
A single positive integer representing the number of
Monte Carlo simulations to perform for the recommended sample size. The
default is |
cores |
A single positive positive integer representing the number of
cores to use for running the validation in parallel, or |
backend_type |
A character string indicating the type of cluster to
create for running the validation in parallel, or |
verbose |
A logical value indicating whether information about the
status of the validation should be printed while running. The default is
|
The sample sizes used during the validation procedure is automatically extracted
from the method
argument.
An R6::R6Class()
instance of Validation
class that contains the results
of the validation.
Main fields:
$sample
: The sample size used for the validation.
$measures
: The performance measures observed during validation.
$statistic
: The statistic computed on the performance measures.
$percentile_value
: The performance measure value at the desired percentile.
$validator
: An R6::R6Class()
instance of StepOne
class.
The plot
S3 method can be called on the return value to visualize the
validation results (i.e., see plot.Validation()
).
plot(validation)
plot.Validation()
, summary.Validation()
, powerly()
, generate_model()
# Perform a sample size analysis. results <- powerly( range_lower = 300, range_upper = 1000, samples = 30, replications = 30, measure = "sen", statistic = "power", measure_value = .6, statistic_value = .8, model = "ggm", nodes = 10, density = .4, cores = 2, verbose = TRUE ) # Validate the recommendation obtained during the analysis. validation <- validate(results, cores = 2) # Plot the validation results. plot(validation) # To see a summary of the validation procedure, we can use the `summary` S3 method. summary(validation)
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