Generate trapezoidal regressors. — gen_trap_reg • Spectroscopy Analysis Tools (spant)

Generate trapezoidal regressors.

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.