misty (version 0.4.5)

na.coverage: 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,
            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.

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: function call (call), type of analysis type, matrix or data frame specified in x (data), specification of function arguments (args), and list with results (result).

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

# NOT RUN {
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
result <- na.coverage(dat, output = FALSE)
write.result(result, "Coverage.xlsx") 
# }