t_res

A dataset containing simulation results from a study that just runs a t-test.

datasets

Calculates performance criteria measures and associated Monte Carlo standard errors for simulation results. Includes functions to help run simulation studies, following a general simulation workflow that closely aligns with the approach described by Morris, White, and Crowther (2019) <DOI:10.1002/sim.8086>. Also includes functions for calculating bootstrap confidence intervals (including normal, basic, studentized, percentile, bias-corrected, and bias-corrected-and-accelerated) with tidy output, as well as for extrapolating confidence interval coverage rates and hypothesis test rejection rates following techniques suggested by Boos and Zhang (2000) <DOI:10.1080/01621459.2000.10474226>.

Megha Joshi

simhelpers

Helper Functions for Simulation Studies

James Pustejovsky

t_res function

A tibble with 1,000 rows and 5 variables:<dl>
 <dt>est</dt>
<dd>estimate of the mean difference.</dd> <dt>p_val</dt>
<dd>p-value from the t-test.</dd> <dt>lower_bound</dt>
<dd>lower bound of the confidence interval.</dd> <dt>upper_bound</dt>
<dd>upper bound of the confidence interval.</dd> <dt>true_param</dt>
<dd>true mean difference used to generate the data.</dd></dl>

Format

t-test simulation results — t_res

A tibble with 1,000 rows and 5 variables:<dl>
 <dt>est</dt>
<dd>estimate of the mean difference.</dd>

 <dt>p_val</dt>
<dd>p-value from the t-test.</dd>

 <dt>lower_bound</dt>
<dd>lower bound of the confidence interval.</dd>

 <dt>upper_bound</dt>
<dd>upper bound of the confidence interval.</dd>

 <dt>true_param</dt>
<dd>true mean difference used to generate the data.</dd>



</dl>

t_res: t-test simulation results

Description

Usage

Arguments

Format