na.coverage: Variance-Covariance Coverage

In misty: Miscellaneous Functions 'T. Yanagida'

Variance-Covariance Coverage

Description

This function computes the proportion of cases that contributes for the calculation of each variance and covariance.

Usage

na.coverage(x, tri = c("both", "lower", "upper"), digits = 2, as.na = NULL,
            write = NULL, check = TRUE, output = TRUE)

Arguments

x	a matrix or data frame.
tri	a character string or character vector indicating which triangular of the matrix to show on the console, i.e., both for upper and lower triangular, lower (default) for the lower triangular, and upper for the upper triangular.
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.
write	a character string for writing the results into a Excel file naming a file with or without file extension '.xlsx', e.g., "Results.xlsx" or "Results".
check	logical: if TRUE, argument specification is checked.
output	logical: if TRUE, output is shown on the console.

Value

Returns an object of class misty.object, which is a list with following entries:

call	function call
type	type of analysis
data	matrix or data frame specified in x
args	specification of function arguments
result	result table

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

write.result, as.na, na.as, na.auxiliary, na.descript, na.indicator, 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))

# Compute variance-covariance coverage
na.coverage(dat)

## Not run: 
# Write Results into a Excel file
na.coverage(dat, write = "Coverage.xlsx")

result <- na.coverage(dat, output = FALSE)
write.result(result, "Coverage.xlsx")

## End(Not run)

misty documentation built on Nov. 15, 2023, 1:06 a.m.