It appears a few participants in the stroop_extended data have more than one level of age.
library(tidyverse)
data(stroop_extended, package = "bayes4psy")
stroop_extended |>
group_by(subject) |>
filter(n_distinct(age) > 1) |>
count(subject, age)
# A tibble: 10 × 3
# Groups: subject [4]
subject age n
<fct> <int> <int>
1 R0DYS-C 18 365
2 R0DYS-C 51 365
3 R6AID-C 34 373
4 R6AID-C 44 373
5 R6AID-C 46 373
6 R6AID-D 47 269
7 R6AID-D 74 269
8 RGA7X-A 7 542
9 RGA7X-A 8 542
10 RGA7X-A 10 542
It appears a few participants in the
stroop_extendeddata have more than one level ofage.