finalfit: ff_glimpse – R documentation

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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

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

finalfit

Quickly Create Elegant Regression Results Tables and Plots when Modelling

v1.0.2

MIT + file LICENCE

Authors

Ewen Harrison [aut, cre], Tom Drake [aut], Riinu Ots [aut]

Initial release