first off I wanted to give credits for this great package. However, I just stumbled upon a weird little bug when plotting a larged sized grouped table. I was able to replicate the bug with a synthetic dataset:
set.seed(42)
n <- 100
test_dat <- data.frame(
year = sample(2021:2023, n, replace = TRUE),
country = sample(c("GER", "BE", "FI", "GB"), n, replace = TRUE),
wave = sample(1:12, n, replace = TRUE)
)
this yields a dataset with the following structure:
Note: the years only span between 2021 and 2023. Now I want to create a descriptive table grouped by country using:
table1::table1(~ year + wave | country, data = test_dat)
This yields the following outcome:
As you can see, the "year" variable indicates a mean/median of "2020" within every group even though no outcome in "year" contains a value below 2021. Funnily, if one just substracts 2000 from the year variable and then create the table again, the numbers are correct:
Hi Benjamin,
first off I wanted to give credits for this great package. However, I just stumbled upon a weird little bug when plotting a larged sized grouped table. I was able to replicate the bug with a synthetic dataset:
this yields a dataset with the following structure:
Note: the years only span between 2021 and 2023. Now I want to create a descriptive table grouped by country using:
table1::table1(~ year + wave | country, data = test_dat)This yields the following outcome:
As you can see, the "year" variable indicates a mean/median of "2020" within every group even though no outcome in "year" contains a value below 2021. Funnily, if one just substracts 2000 from the year variable and then create the table again, the numbers are correct:
All the best,
Neil