estimateSC: Estimate single-case design

In scan: Single-Case Data Analyses for Single and Multiple Baseline Designs

Description

This functions takes an scdf an extracts design parameters. The resulting in object can be unsed to randomly create new scdf files with the same underlying parameters. This might be usefull for monte-carlo studies and bootstrapping procedures.

Usage

estimateSC(data, dvar, pvar, mvar, s = NULL, rtt = NULL, model = "JW", ...)

Arguments

data	A single-case data frame. See scdf to learn about this format.
dvar	Character string with the name of the dependent variable. Defaults to the attributes in the scdf file.
pvar	Character string with the name of the phase variable. Defaults to the attributes in the scdf file.
mvar	Character string with the name of the measurement time variable. Defaults to the attributes in the scdf file.
s	The standard deviation depcting the between case variance of the overall performance. If more than two single-cases are included in the scdf, the variance is estimated if s is set to NULL.
rtt	The reliability of the measurements. The reliability is estimated when rtt = NULL.
model	Model used for calculating the slope parameter (see Huitema & McKean, 2000). Default is model = "B&L-B". Possible values are: "B&L-B", "H-M", "Mohr#1", "Mohr#2", "JW", "JW2", and "Manly".
...	Further arguments passed to the lm function.

Value

A list of parameters for each single-case. Parameters include name, length, and starting measurementtime of each phase, trend level, and slope effects for each phase, mean, standarddeviation, and reliability for each case.

Examples

estimateSC(exampleABC)

scan documentation built on Feb. 12, 2021, 3:01 a.m.