ff_glimpse {finalfit} | R Documentation |
Everyone has a funcion like this, str, glimpse, glance etc. This one is
specifically designed for use with finalfit
language. It is different
in dividing variables by numeric vs factor.
ff_glimpse( .data, dependent = NULL, explanatory = NULL, digits = 1, levels_cut = 5 ) finalfit_glimpse( .data, dependent = NULL, explanatory = NULL, digits = 1, levels_cut = 5 )
.data |
Dataframe. |
dependent |
Optional character vector: name(s) of depdendent variable(s). |
explanatory |
Optional character vector: name(s) of explanatory variable(s). |
digits |
Significant digits for continuous variable summaries |
levels_cut |
Max number of factor levels to include in factor levels summary (in order to avoid the long printing of variables with many factors). |
Dataframe on summary data.
library(finalfit) dependent = 'mort_5yr' explanatory = c("age", "nodes", "age.factor", "extent.factor", "perfor.factor") colon_s %>% finalfit_glimpse(dependent, explanatory)