autocorrSC: Autocorrelation for single-case data

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

Description

The autocorrSC function calculates autocorrelations within each phase and across all phases.

Usage

autocorrSC(data, dvar, pvar, mvar, lag.max = 3, ...)

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.
lag.max	The lag up to which autocorrelations will be computed. Default is lag.max = 3.
...	Further arguments passed to the acf function

Value

A data frame containing separate autocorrelations for each phase and for all phases (for each single-case). If lag.max exceeds the length of a phase minus one, NA is returned for this cell.

Author(s)

Juergen Wilbert

See Also

trendSC, plm, acf

Examples

## Compute autocorrelations for a list of four single-cases up to lag 2.
autocorrSC(Huber2014, lag.max = 2)

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