calc_p_value

Calculates p-value using specified halting test.

Select statistically similar research groups by backward selection using various robust algorithms, including a heuristic based on linear discriminant analysis, multiple heuristics based on the test statistic, and parallelized exhaustive search.

Kyle Gorman

ldamatch

Selection of Statistically Similar Research Groups

Géza Kiss

calc_p_value function

<dl><dt>condition</dt>
<dd>A factor vector containing condition labels.</dd>
<dt>covariates</dt>
<dd>A columnwise matrix containing
covariates to match the conditions on.</dd>
<dt>halting_test</dt>
<dd>A function to apply to `covariates` (in matrix form)
which is TRUE iff the conditions are matched.
Signature: halting_test(condition, covariates, thresh).
The following halting tests are part of this package:
<code>t_halt</code>, <code>U_halt</code>,
<code>l_halt</code>, <code>ad_halt</code>,
<code>ks_halt</code>, <code>wilks_halt</code>,
<code>f_halt</code>.
You can create the intersection of two or more halting
tests using <code>create_halting_test</code>.</dd></dl>

Arguments

Calculates p-value using specified halting test. — calc_p_value

<dl>

<dt>condition</dt>
<dd>A factor vector containing condition labels.</dd>


<dt>covariates</dt>
<dd>A columnwise matrix containing
covariates to match the conditions on.</dd>


<dt>halting_test</dt>
<dd>A function to apply to `covariates` (in matrix form)
which is TRUE iff the conditions are matched.
Signature: halting_test(condition, covariates, thresh).
The following halting tests are part of this package:
<code>t_halt</code>, <code>U_halt</code>,
<code>l_halt</code>, <code>ad_halt</code>,
<code>ks_halt</code>, <code>wilks_halt</code>,
<code>f_halt</code>.
You can create the intersection of two or more halting
tests using <code>create_halting_test</code>.</dd>

</dl>

calc_p_value: Calculates p-value using specified halting test.

Description

Usage

Value

Arguments