calculate_t1_error

Calculate Type 1 error for a distribution, and the confidence interval around this estimate. Type I error and confidence intervals calculated using `stats::binom.test()` which implements the Newcombe method.

Simultaneously evaluate multiple ordinal outcome measures. Applied data analysts in particular are faced with uncertainty in choosing appropriate statistical tests for ordinal data. The included 'shiny' application allows users to simulate outcomes given different ordinal data distributions.

Pat Callahan

ordinalsimr

Compare Ordinal Endpoints Using Simulations

calculate_t1_error function

<dl><dt>df</dt>
<dd>data frame</dd>
<dt>alpha</dt>
<dd>significance level</dd>
<dt>t1_error_confidence_int</dt>
<dd>confidence interval</dd>
<dt>n</dt>
<dd>optional numeric input of</dd></dl>

Arguments

Calculate Type 1 Error — calculate_t1_error

<dl>

<dt>df</dt>
<dd>data frame</dd>


<dt>alpha</dt>
<dd>significance level</dd>


<dt>t1_error_confidence_int</dt>
<dd>confidence interval</dd>


<dt>n</dt>
<dd>optional numeric input of</dd>

</dl>

calculate_t1_error: Calculate Type 1 Error

Description

Usage

Value

Arguments