ff_glimpse {finalfit}

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

library(finalfit)
dependent = 'mort_5yr'
explanatory = c("age", "nodes", "age.factor", "extent.factor", "perfor.factor")
colon_s %>%
  finalfit_glimpse(dependent, explanatory)