misty (version 0.5.0)

na.indicator: Missing Data Indicator Matrix

Description

This function creates a missing data indicator matrix \(R\) that denotes whether values are observed or missing, i.e., \(r = 1\) if a value is observed, and \(r = 0\) if a value is missing.

Usage

na.indicator(x, as.na = NULL, check = TRUE)

Value

Returns a matrix or data frame with \(r = 1\) if a value is observed, and \(r = 0\)

if a value is missing.

Arguments

x

a matrix or data frame.

as.na

a numeric vector indicating user-defined missing values, i.e. these values are converted to NA before conducting the analysis.

check

logical: if TRUE, argument specification is checked.

Author

Takuya Yanagida

References

Enders, C. K. (2010). Applied missing data analysis. Guilford Press.

Graham, J. W. (2009). Missing data analysis: Making it work in the real world. Annual Review of Psychology, 60, 549-576. https://doi.org/10.1146/annurev.psych.58.110405.085530

van Buuren, S. (2018). Flexible imputation of missing data (2nd ed.). Chapman & Hall.

See Also

as.na, na.as, na.auxiliary, na.coverage, na.descript, na.pattern, na.prop, na.test

Examples

dat <- data.frame(x = c(1, NA, NA, 6, 3),
                  y = c(7, NA, 8, 9, NA),
                  z = c(2, NA, 3, NA, 5))

# Create missing data indicator matrix \eqn{R}
na.indicator(dat)