detrend_A

Detrends the phase A part of time series y.
detrend A is optional and not validated.
The mean of the detrended signal will be set to the predicted value based on detrend_A_position:
detrend_A_position = "first" : take predicted value for first valid observation
detrend_A_position = "center" : take predicted value for center observation
detrend_A_position = "last" : take predicted value for last valid observation.

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

detrend_A 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>
<dt>detrend_A_position</dt>
<dd>character to indicate the mean</dd></dl>

Arguments

detrend_A — detrend_A

<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>


<dt>detrend_A_position</dt>
<dd>character to indicate the mean</dd>

</dl>

detrend_A: detrend_A

Description

Usage

Value

Arguments

Examples