tidy: Turn an object into a tidy dataset

In rsimsum: Analysis of Simulation Studies Including Monte Carlo Error

Turn an object into a tidy dataset

Description

Extract a tidy dataset with results from an object of class simsum, summary.simsum, multisimsum, or summary.multisimsum.

Usage

## S3 method for class 'simsum'
tidy(x, stats = NULL, ...)

## S3 method for class 'summary.simsum'
tidy(x, stats = NULL, ...)

## S3 method for class 'multisimsum'
tidy(x, stats = NULL, ...)

## S3 method for class 'summary.multisimsum'
tidy(x, stats = NULL, ...)

Arguments

x	An object of class simsum.
stats	Summary statistics to include; can be a scalar value or a vector. Possible choices are: 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\ becover, bias-eliminated coverage of a nominal level\ power, power of a (1 - level)\ Defaults to NULL, in which case all summary statistics are returned.
...	Ignored.

Value

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

Examples

data(MIsim)
x <- simsum(
  data = MIsim, estvarname = "b", true = 0.5, se = "se",
  methodvar = "method"
)
tidy(x)

# Extracting only bias and coverage:
tidy(x, stats = c("bias", "cover"))

xs <- summary(x)
tidy(xs)

rsimsum documentation built on Aug. 17, 2022, 5:07 p.m.