Generate regressors by convolving a specified response function with a stimulus.

gen_conv_reg(
  onset,
  duration = NULL,
  trial_type = NULL,
  mrs_data = NULL,
  tr = NULL,
  Ndyns = NULL,
  Ntrans = NULL,
  resp_fn,
  match_tr = TRUE,
  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.
resp_fn: a data frame specifying the response function to be convolved.
match_tr: match the output to the input mrs_data.
normalise: normalise the response function to have a maximum value of one.

Value

BOLD regressor data frame.