finalfit (version 1.0.2)

ff_glimpse: Descriptive statistics for dataframe

Description

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.

Usage

ff_glimpse(.data, dependent = NULL, explanatory = NULL, digits = 1,
  levels_cut = 5)
finalfit_glimpse(.data, dependent = NULL, explanatory = NULL,
  digits = 1, levels_cut = 5)

Arguments

.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).

Value

Dataframe on summary data.

Examples

# NOT RUN {
library(finalfit)
dependent = 'mort_5yr'
explanatory = c("age", "nodes", "age.factor", "extent.factor", "perfor.factor")
colon_s %>%
  finalfit_glimpse(dependent, explanatory)
# }