gen_trap_reg: Generate trapezoidal regressors.

View source: R/fmrs.R

gen_trap_regR Documentation

Generate trapezoidal regressors.

Description

Generate trapezoidal regressors.

Usage

gen_trap_reg(
  onset,
  duration,
  trial_type = NULL,
  mrs_data = NULL,
  tr = NULL,
  Ndyns = NULL,
  Ntrans = NULL,
  rise_t = 0,
  fall_t = 0,
  exp_fall = FALSE,
  exp_fall_power = 1,
  smo_sigma = NULL,
  match_tr = TRUE,
  dt = 0.01,
  normalise = FALSE
)

Arguments

onset

stimulus onset in seconds.

duration

stimulus duration in seconds.

trial_type

string label for the stimulus.

mrs_data

mrs_data object for timing information.

tr

repetition time.

Ndyns

number of dynamic scans stored, potentially less than Ntrans if block averaging has been performed.

Ntrans

number of dynamic scans acquired.

rise_t

time to reach a plateau from baseline in seconds.

fall_t

time to fall from plateau level back to baseline in seconds.

exp_fall

model an exponential fall instead of linear.

exp_fall_power

exponential fall power.

smo_sigma

standard deviation of Gaussian smoothing kernel in seconds. Set to NULL to disable (default behavior).

match_tr

match the output to the input mrs_data.

dt

timing resolution for internal calculations.

normalise

normalise the response function to have a maximum value of one.

Value

trapezoidal regressor data frame.


spant documentation built on Sept. 11, 2024, 9:13 p.m.