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.
finalfit
ff_glimpse( .data, dependent = NULL, explanatory = NULL, digits = 1, levels_cut = 5 )finalfit_glimpse( .data, dependent = NULL, explanatory = NULL, digits = 1, levels_cut = 5 )
finalfit_glimpse( .data, dependent = NULL, explanatory = NULL, digits = 1, levels_cut = 5 )
Dataframe on summary data.
Dataframe.
Optional character vector: name(s) of depdendent variable(s).
Optional character vector: name(s) of explanatory variable(s).
Significant digits for continuous variable summaries
Max number of factor levels to include in factor levels summary (in order to avoid the long printing of variables with many factors).
library(finalfit) dependent = 'mort_5yr' explanatory = c("age", "nodes", "age.factor", "extent.factor", "perfor.factor") colon_s %>% finalfit_glimpse(dependent, explanatory)
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