rsimsum (version 0.3.1)

get_data.summary.multisimsum: get_data.summary.multisimsum

Description

Extract data from a summary.simsum object

Usage

# S3 method for summary.multisimsum
get_data(x, sstat = "all", ...)

Arguments

x

An object of class summary.multisimsum.

sstat

Summary statistics to include; can be a scalar value or a vector. Possible choices are:

• all, all the summary statistics are returned This is the default option.

• nsim, the number of replications with non-missing point estimates and standard error.

• thetamean, average point estimate.

• thetamedian, median point estimate.

• se2mean, average standard error.

• se2median, median standard error.

• bias, bias in point estimate.

• empse, empirical standard error.

• mse, mean squared error.

• relprec, percentage gain in precision relative to the reference method.

• modelse, model-based standard error.

• relerror, relative percentage error in standard error.

• cover, coverage of a nominal level% confidence interval.

• bccover, bias corrected coverage of a nominal level% confidence interval.

• power, power of a (1 - level)% level test.#'

...

Ignored.

Value

A data.frame containing summary statistics from a simulation study.

See Also

summary.multisimsum(), get_data()

Examples

# NOT RUN {
data(frailty)
ms <- multisimsum(data = frailty, par = "par", true = c(trt = -0.50,
   fv = 0.75), estvarname = "b", se = "se", methodvar = "model",
   by = "fv_dist")
sms <- summary(ms)
get_data(sms)
# }