One row per root variable: block, label, description, detected type (categorical, binary, discrete, continuous), visits available and share of missing values at the first visit found.
Usage
catalog_vars(df, blocks, labels = NULL, desc = NULL, visits = c("V0", "V3"))Examples
catalog_vars(cohort_sim, list(Biomarkers = c("NFL", "IL6"), Clinical = c("AGE", "MOCA")))
#> # A tibble: 4 × 7
#> Block Variable Label Description Type Visits % missing (first vis…¹
#> <chr> <chr> <chr> <chr> <chr> <chr> <dbl>
#> 1 Biomarkers NFL NFL "" Continuous V0, V3 0
#> 2 Biomarkers IL6 IL6 "" Continuous V0, V3 0
#> 3 Clinical AGE AGE "" Discrete — 0
#> 4 Clinical MOCA MOCA "" Discrete V0, V3 0
#> # ℹ abbreviated name: ¹`% missing (first visit)`
