Dear authors of finalfit,
before getting to my issue, I'd like to express a big thank you for creating this awesome package. I am using it extensively for a variety of analyses as it seamlessly integrates in my workflow that is heavily based on the tidyverse.
One thing that bothers me a little when reporting survival models is the fact that the percentages of the variable levels in the "all" column of the finalfit.coxph output are wrong as it's always (100.0). It would be awesome if you could implement the correct percentages for the factor levels in a future update.
library(finalfit)
explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor")
dependent = "Surv(time, status)"
colon_s %>%
finalfit(dependent, explanatory)
#> Dependent: Surv(time, status) all
#> Age <40 years 70 **(100.0)**
#> 40-59 years 344 **(100.0)**
#> 60+ years 515 **(100.0)**
#> Sex Female 445 **(100.0)**
#> Male 484 **(100.0)**
#> Obstruction No 732 **(100.0)**
#> Yes 176 **(100.0)**
#> Perforation No 902 **(100.0)**
#> Yes 27 **(100.0)**
#> HR (univariable) HR (multivariable)
#> - -
#> 0.76 (0.53-1.09, p=0.132) 0.79 (0.55-1.13, p=0.196)
#> 0.93 (0.66-1.31, p=0.668) 0.98 (0.69-1.40, p=0.926)
#> - -
#> 1.01 (0.84-1.22, p=0.888) 1.02 (0.85-1.23, p=0.812)
#> - -
#> 1.29 (1.03-1.62, p=0.028) 1.30 (1.03-1.64, p=0.026)
#> - -
#> 1.17 (0.70-1.95, p=0.556) 1.08 (0.64-1.81, p=0.785)Created on 2021-09-20 by the reprex package (v2.0.1)
Keep up the great work!
Dear authors of
finalfit,before getting to my issue, I'd like to express a big thank you for creating this awesome package. I am using it extensively for a variety of analyses as it seamlessly integrates in my workflow that is heavily based on the tidyverse.
One thing that bothers me a little when reporting survival models is the fact that the percentages of the variable levels in the "all" column of the
finalfit.coxphoutput are wrong as it's always (100.0). It would be awesome if you could implement the correct percentages for the factor levels in a future update.Created on 2021-09-20 by the reprex package (v2.0.1)
Keep up the great work!