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missing_compare

Compare missing data


Description

Compare missing data

Usage

missing_compare(.data, dependent, explanatory, na_include = FALSE, ...)

Arguments

.data

Dataframe.

dependent

Variable to test missingness against other variables with.

explanatory

Variables to have missingness tested against.

na_include

Include missing data in explanatory variables as a factor level.

...

Other arguments to summary_factorlist().

Value

A dataframe comparing missing data in the dependent variable across explanatory variables. Continuous data are compared with a Kruskal Wallis test. Discrete data are compared with a chi-squared test.

Examples

library(finalfit)

explanatory = c("age", "age.factor", "extent.factor", "perfor.factor")
dependent = "mort_5yr"

colon_s %>%
  ff_glimpse(dependent, explanatory)

colon_s %>%
 missing_pattern(dependent, explanatory)

colon_s %>%
  missing_compare(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

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