Pre-summarized demographics table in wide format, ready for use with
fr_table(). One row per characteristic line (headers, summary
statistics, category counts). Columns are treatment arms.
Format
A data frame with columns:
- characteristic
Row label (e.g.
"Age (years)"," Mean (SD)")- placebo
Placebo arm summary
- zom_50mg
Zomerane 50mg arm summary
- zom_100mg
Zomerane 100mg arm summary
- total
All subjects summary
- group
Characteristic group key. Age uses separate keys for continuous (
"age_cont") and categorical ("age_cat") summaries; other blocks use"n","sex","race","bmi","mmse","completion". Use withfr_rows(blank_after = "group")to insert visual separation between blocks. Hide withfr_cols(group = fr_col(visible = FALSE)).
Source
Synthetic data generated in data-raw/create_tbl_datasets.R
from adsl.
Examples
head(tbl_demog, 10)
#> characteristic placebo zom_50mg zom_100mg total group
#> 1 Subjects, n 45 45 45 135 n
#> 2 Age (years) age_cont
#> 3 Mean (SD) 75.0 (6.75) 73.1 (8.43) 75.3 (7.09) 74.4 (7.46) age_cont
#> 4 Median 74.0 74.0 73.0 74.0 age_cont
#> 5 Min, Max 65.0, 88.0 55.0, 88.0 55.0, 88.0 55.0, 88.0 age_cont
#> 6 Age Group, n (%) age_cat
#> 7 <65 0 7 (15.6) 1 (2.2) 8 (5.9) age_cat
#> 8 65-80 36 (80.0) 29 (64.4) 31 (68.9) 96 (71.1) age_cat
#> 9 >80 9 (20.0) 9 (20.0) 13 (28.9) 31 (23.0) age_cat
#> 10 Sex, n (%) sex