na.prop: Proportion of Missing Data for Each Case

In misty: Miscellaneous Functions 'T. Yanagida'

Proportion of Missing Data for Each Case

Description

This function computes the proportion of missing data for each case in a matrix or data frame.

Usage

na.prop(..., data = NULL, digits = 2, append = TRUE, name = "na.prop",
        as.na = NULL, check = TRUE)

Arguments

...	a matrix or data frame with incomplete data, where missing values are coded as NA. Alternatively, an expression indicating the variable names in data e.g., na.prop(x1, x2, x3, data = dat). Note that the operators ., +, -, ~, :, ::, and ! can also be used to select variables, see 'Details' in the df.subset function.
data	a data frame when specifying one or more variables in the argument .... Note that the argument is NULL when specifying a matrix or data frame for the argument ....
name	a character string indicating the name of the variable appended to the data frame specified in the argument data when append = TRUE.

.

append	logical: if TRUE (default), variable with proportion of missing data is appended to the data frame specified in the argument data
digits	an integer value indicating the number of decimal places to be used for displaying proportions.
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.

Value

Returns a numeric vector with the same length as the number of rows in x containing the proportion of missing data.

Author(s)

Takuya Yanagida [e-mail]

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.indicator, na.pattern, na.test

Examples

# Example 1a: Compute proportion of missing data for each case in the data frame
na.prop(airquality)

# Example 1b: Alternative specification using the 'data' argument,
# append proportions to the data frame 'airquality'
na.prop(., data = airquality)

misty documentation built on Oct. 24, 2024, 5:10 p.m.