mindx: Missing index
In bcjaeger/midy: Imputation for Predictive Analytics

Missing index

1	mindx(data, drop_empty = TRUE)

`data`	a data set with missing values.
`drop_empty`	a logical value. If `TRUE`, columns in `data` without any missing values will be dropped from the output. If `FALSE`, all column names in `data` will be present in the output.

a list with indices of missing values in data.

dat <- data.frame(a = c(1, NA), b = c(NA, 2), c = c(1,2))

mindx(dat)
mindx(dat, drop_empty = FALSE)

bcjaeger/midy documentation built on May 3, 2020, 3:55 p.m.

bcjaeger/midy index

README.md

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Description