finalfit: ff_row_totals – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

ff_row_totals

Add row totals to summary_factorlist() output

Description

This adds a total and missing count to variables. This is useful for continuous variables. Compare this to summary_factorlist(total_col = TRUE) which includes a count for each dummy variable as a factor and mean (sd) or median (iqr) for continuous variables.

Usage

ff_row_totals(df.in, .data, dependent, explanatory,
  missing_column = TRUE, na_include_dependent = FALSE,
  na_complete_cases = FALSE, total_name = "Total N",
  na_name = "Missing N")

finalfit_row_totals(df.in, .data, dependent, explanatory,
  missing_column = TRUE, na_include_dependent = FALSE,
  na_complete_cases = FALSE, total_name = "Total N",
  na_name = "Missing N")

Arguments

`df.in`	`summary_factorlist()` output.
`.data`	Data frame used to create `summary_factorlist()`.
`dependent`	Character. Name of dependent variable.
`explanatory`	Character vector of any length: name(s) of explanatory variables.
`missing_column`	Logical. Include a column of counts of missing data.
`na_include_dependent`	Logical. When TRUE, missing data in the dependent variable is included in totals.
`na_complete_cases`	Logical. When TRUE, missing data counts for variables are for compelte cases across all included variables.
`total_name`	Character. Name of total column.
`na_name`	Character. Name of missing column.

Value

Data frame.

Examples

explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor")
dependent = 'mort_5yr'
colon_s %>%
 summary_factorlist(dependent, explanatory) %>%
	ff_row_totals(colon_s, 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