findMissings: findMissings
In TaylorAndrew/atExplore: Methods for Exploring Data

Description Usage Arguments Value Examples

findMissings provides a vector (per variable), containing the observations in the dataset.

1	findMissings(data, vars, idVar = NULL)

`data`	data containing 'vars'
`vars`	list of variable names to be checked for missing
`idVar`	id variable which will be printed showing which observations are missing data for vars. If NULL, then row.names() will be printed.

a list of missing ids/row.names per variable listed in vars

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#missdata <- data.frame(id = 1:1000, C1 = sample(c(1,NA), 1000, replace=TRUE,
#                       prob=c(.8,.2)), C2 = sample(c(1,NA), 1000, replace=TRUE, prob=c(.8,.2)))
#findMissings(data = missdata, vars = c("C1", "C2"),idVar = "id")

TaylorAndrew/atExplore documentation built on May 9, 2019, 4:22 p.m.