badData: Identifies spurious observations

In FIACH: Retrospective Noise Control for fMRI

Description

This function identifies spurious observations using a mix of stochastic and deterministic thresholds.

Usage

badData(X, meds=NULL, mads=NULL, nMads=1.96, t=0)

Arguments

X	X must be a numeric matrix.
meds	Vector containing column center. If NULL will calculate the median.
mads	Vector containing column variability. If NULL will calculate the Median Absolute Deviation.
nMads	The stochastic threshold specified in terms of MADs
t	The deterministic threshold. Specified in percentage distance from median.

Value

Returns a matrix with NaN where data was identified as spurious

Examples

x<-rnorm(100)
x[20]<-30
badData(x)

FIACH documentation built on May 1, 2019, 8:02 p.m.