Generating pred_corr vpc fails

[SybrandZielhuis]

Hi,

I'm trying to generate a prediction corrected vpc but I keep getting the same error:

Error in dplyr::group_by():
! Must group by variables found in .data.
✖ Column sim is not found.

Backtrace:
▆

1. ├─vpc::vpc(...)
2. ├─vpc:::vpc.default(...)
3. │ └─base::do.call(...)
4. ├─vpc (local) <fn>(...)
5. │ └─vpc:::calc_vpc_continuous(...)
6. │ └─sim %>% dplyr::group_by(strat, sim, bin) %>% ...
7. ├─dplyr::summarise(...)
8. ├─dplyr::group_by(., strat, sim, bin)
9. └─dplyr:::group_by.data.frame(., strat, sim, bin)
10. └─dplyr::group_by_prepare(.data, ..., .add = .add, error_call = current_env())

11. └─rlang::abort(bullets, call = error_call)
    

This is the code I used:
vpc(sim = sim2, obs = obs, sim_cols = list(dv = "DV", sim = "REP"), obs_cols = list(dv = "DV"), show = list(obs_dv = TRUE, obs_ci = TRUE, pi_as_area = FALSE, sim_median_ci = TRUE, pi = FALSE), log_y = FALSE, xlab = "Time (hours)", # Label of the x-axis ylab = "Concentration (ng/ml)", # Label of the y-axis title = "VPC of a single administration of 20 mg of lenvatinib ", scales = "free", pi = c(0.05, 0.95), # prediction interval simulated data to show ci = c(0.05, 0.95), n_bins = "auto", pred_corr = TRUE, pred_corr_lower_bnd = 0, smooth = FALSE, verbose = FALSE )

Sim2 and obs are the following:

head(obs)
ID MDV TIME DV PRED
1 1 1 0.0 0.000 0.00
2 1 0 0.5 59.068 159.26
3 1 0 1.0 91.238 237.15
4 1 0 2.0 110.390 273.85
5 1 0 4.0 86.097 212.98
6 1 0 8.0 35.691 105.85
head(sim2)
ID MDV TIME DV PRED REP
1 1 1 0 0 0 1
2 1 0 0.5 173. 159. 1
3 1 0 1 314. 237. 1
4 1 0 2 854. 274. 1
5 1 0 4 505. 213. 1
6 1 0 8 95.9 106. 1

Does anyone know what I am doing wrong?

Kind regards,
Sybrand