filterfMRI4KRNS: Filtering options specific to KRNS

Description Usage Arguments Value Author(s) Examples

View source: R/filterfMRI4KRNS.R

Description

Filters the input matrix using butterworth filtering and time-series trends.

Usage

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filterfMRI4KRNS(imat, tr = as.numeric(0.5), filterlowfrequency = 0.1,
  filterhighfrequency = 1, trendfrequency = 3, trendfrequency2 = NA,
  winsorval = 0.01, removeSentLengthEffects = NA, removeEventOverlap = NA)

Arguments

filterlowfrequency

get rid of variation that takes many seconds

filterhighfrequency

get rid of variation that takes few seconds

trendfrequency

time series trend option

winsorval

remove spikes in signal given this winsorization value

removeSentLengthEffects

nuisance vector of size nrow of matrix

removeEventOverlap

nuisance vector of size nrow of matrix

mat

input bold time series matrix

Value

matrix is output

Author(s)

Avants BB

Examples

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fmat<-filterfMRI4KRNS( mat ) 

stnava/RKRNS documentation built on Aug. 26, 2017, 9:55 a.m.