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ewenharrison avatar ewenharrison commented on July 29, 2024

Thanks. This is done.

devtools::install_github('ewenharrison/finalfit')
library(finalfit)
explanatory = c("age", "age.factor", "sex.factor", "obstruct.factor")
dependent = "perfor.factor"
colon_s %>%
  summary_factorlist(dependent, explanatory, p=TRUE, 
                     cont = "median", cont_range = TRUE)

        label       levels                  No                 Yes     p
1 Age (years) Median (IQR) 61.0 (53.0 to 69.0) 60.0 (50.0 to 68.0) 0.578
2         Age    <40 years            68 (7.5)             2 (7.4) 1.000
3              40-59 years          334 (37.0)           10 (37.0)      
4                60+ years          500 (55.4)           15 (55.6)      
7         Sex       Female          432 (47.9)           13 (48.1) 0.979
8                     Male          470 (52.1)           14 (51.9)      
5 Obstruction           No          715 (81.2)           17 (63.0) 0.018
6                      Yes          166 (18.8)           10 (37.0)

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LukaszDerylo avatar LukaszDerylo commented on July 29, 2024

Great!

Although, I'd change "Median (IQR)" in levels column to something like "Median (quartiles)".

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ewenharrison avatar ewenharrison commented on July 29, 2024

Thanks. Yes please change in your own work, but I'm comfortable with the definition of "range" being the limits as well as the difference.

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LukaszDerylo avatar LukaszDerylo commented on July 29, 2024

I agree that "range" can be understood as the limits as well as the difference, but IQR is special case of range that is strictly defined as difference between quartiles. So I think, using the name "IQR" for limits can lead to confusion: person, who sees "IQR" label expects a single value, just like he/she read in his/her textbook.

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