# Simulate a single dataset based on the response probability(ies), the total sample size(s), and the interim look schedule(s)

Source:`R/calibrate_thresholds.R`

`sim_dat1.Rd`

Helper function for calibrate_thresholds() function that generates a single dataset of n and response count at each look based on the response probability(ies)

## Arguments

- p
vector of length two containing the probability of event in the standard of care and experimental arm c(p0, p1) for the two-sample case; integer of event probability for one-sample case

- n
matrix containing the total number of patients accrued so far at each interim look in the standard of care (column 1) and experimental (column 2) arms for two-sample case; vector of sample size accrued so far at each interim look for one-sample case. The last value should be equal to the total sample size at the end of the trial. If only a single look will be done at the end of the trial, this can be a vector specifying the total sample size c(N0, N1) for the two-sample case or an integer specifying the total sample size N for the one-sample case