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(..., data = NULL, tri = c("both", "lower", "upper"), digits = 2,
            as.na = NULL, write = NULL, append = TRUE, check = TRUE,
            output = 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.coverage(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 ....
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 naming a file for writing the output into either a text file with file extension ".txt" (e.g., "Output.txt") or Excel file with file extension ".xlsx" (e.g., "Output.xlsx"). If the file name does not contain any file extension, an Excel file will be written.
append	logical: if TRUE (default), output will be appended to an existing text file with extension .txt specified in write, if FALSE existing text file will be overwritten.
check	logical: if TRUE (default), argument specification is checked.
output	logical: if TRUE (default), 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	data frame used for the current analysis
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

# Example 1a: Compute variance-covariance coverage
na.coverage(airquality)

# Example 1b: Alternative specification using the 'data' argument
na.coverage(., data = airquality)

## Not run: 
# Example 2a: Write Results into a text file
na.coverage(airquality, write = "Coverage.txt")

# Example 2b: Write Results into an Excel file
na.coverage(airquality, write = "Coverage.xlsx")

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

## End(Not run)

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