Creates a synthetic alprek_student_panel object with student
demographics, GOLD assessment scores, attendance, service indicators, and
derived variables (gain scores, chronic absence, risk index).
Examples
student <- alprek_synthetic_student(n_students = 50, n_years = 2)
student
#> <alprek_student_panel>
#> Years: 2021-2022, 2022-2023
#> Total observations: 100
#> Unique students: 100
#> Columns: 145
#> 2021-2022 : 50 students ( legacy , 145 cols)
#> 2022-2023 : 50 students ( legacy , 145 cols)
head(student$data[, 1:10])
#> # A tibble: 6 × 10
#> school_year year classroom_code classroom_name adece_id region_num site_code
#> <fct> <int> <chr> <chr> <chr> <int> <chr>
#> 1 2021-2022 2021 024O46939.02 Classroom 7 S000101 7 024O46939
#> 2 2021-2022 2021 034H75684.03 Classroom 16 S000201 4 034H75684
#> 3 2021-2022 2021 058P64325.03 Classroom 18 S000301 6 058P64325
#> 4 2021-2022 2021 003O71147.01 Classroom 11 S000401 11 003O71147
#> 5 2021-2022 2021 065H91300.01 Classroom 2 S000501 2 065H91300
#> 6 2021-2022 2021 047O85884.01 Classroom 6 S000601 10 047O85884
#> # ℹ 3 more variables: site_name <chr>, program_code <chr>, program_name <chr>