place_dmat_on_time_grid: Function to convert dmat (runs x regressor list) to a...

In PennStateDEPENdLab/dependlab: Useful functions for the UNC Chapel Hill DEPENd Lab (Director: Michael Hallquist)

Function to convert dmat (runs x regressor list) to a time-oriented representation. This yields a list of runs where each element is data.frame of volumes x regressors

Description

Function to convert dmat (runs x regressor list) to a time-oriented representation. This yields a list of runs where each element is data.frame of volumes x regressors

Usage

place_dmat_on_time_grid(dmat, convolve = TRUE, bdm_args)

Arguments

dmat	A runs x regressors 2-d list where each element is a matrix containing onset, duration, and value for a signal
convolve	If TRUE (default), convolve the time-oriented signals with an HRF
bdm_args	A list of arguments passed to build_design_matrix, as well as a few fields added during the initial argument parsing. See build_design_matrix for details. Should contain: convolve_wi_run TRUE/FALSE run_volumes Numeric vector of run length normalizations Character vector of HRF normalizations for each regressor. Options are "none", "durmax_1", or "evtmax_1". add_derivs A logical vector (TRUE/FALSE) of regressors whose temporal derivatives should be included. Temporal derivatives are only applied if convolve is TRUE. convmax_1 A logical vector (TRUE/FALSE) denoting whether to rescale max height to 1 after convolution high_pass The cutoff frequency (in Hz) used for high-pass filtering. If NULL, no filtering is applied. tr The repetition time (sometimes called TR) in seconds hrf_parameters The parameters for the double-gamma HRF

Author(s)

Michael Hallquist

PennStateDEPENdLab/dependlab documentation built on April 10, 2024, 5:15 p.m.