Data-driven scrubbing

Performs projection scrubbing or DVARS scrubbing, and optionally thresholds to identify artifactual time points.

scrub(X, method = c("projection", "DVARS"), ...)

Arguments

X	A \(T\) by \(V\) numeric matrix representing an fMRI run. There should not be any missing data (NA or NaN).
method	"projection" (default) or "DVARS"
...	Additional arguments to the specific scrubbing function: see pscrub or DVARS.

Value

A list with components

measure

A length \(T\) vector or data.frame with \(T\) rows, giving the outlyingness measure(s)

measure_info

Describes the outlyingness measure(s)

outlier_cutoff

The outlier cutoff value(s).

outlier_flag

A length \(T\) vector or data.frame with \(T\) rows, where TRUE indicates suspected outlier presence.