insert_NA_and_try_to_shift

Makes the input time series equidistant.
This is recommended before performing a permutation distancing test.
This function first inserts NA's for missing x_values,
then it tries to shift double value to previous or next NA's,
finally it aggregates the remaining identical x_values.

Permutation (randomisation) test for single-case phase design data with
two phases (e.g., pre- and post-treatment). Correction for dependency of observations
is done through stepwise resampling the time series while varying
the distance between observations. The required distance 0,1,2,3.. is determined
based on repeated dependency testing while stepwise increasing the distance.
In preparation: Vroegindeweij et al. "A Permutation distancing test
for single-case observational AB phase design data: A Monte Carlo simulation study".

Jan Houtveen

Permutation Distancing Test

Anouk Vroegindeweij

insert_NA_and_try_to_shift function

<dl><dt>x</dt>
<dd>factor vector to indicate conditions or phases (e.g., "A" and "B")</dd>
<dt>x_values</dt>
<dd>numerical vector with distance (time markers) between observations</dd>
<dt>y</dt>
<dd>numeric vector with the observed y-values</dd></dl>

Arguments

insert_NA_and_try_to_shift — insert_NA_and_try_to_shift

<dl>

<dt>x</dt>
<dd>factor vector to indicate conditions or phases (e.g., "A" and "B")</dd>


<dt>x_values</dt>
<dd>numerical vector with distance (time markers) between observations</dd>


<dt>y</dt>
<dd>numeric vector with the observed y-values</dd>

</dl>

insert_NA_and_try_to_shift: insert_NA_and_try_to_shift

Description

Usage

Value

Arguments

Examples