na.pattern {misty} | R Documentation |
Missing Data Pattern
Description
This function computes a summary of missing data patterns, i.e., number ( cases with a specific missing data pattern.
Usage
na.pattern(..., data = NULL, order = FALSE, 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 |
data |
a data frame when specifying one or more variables in the
argument |
order |
logical: if |
digits |
an integer value indicating the number of decimal places to be used for displaying percentages. |
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 |
append |
logical: if |
check |
logical: if |
output |
logical: if |
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 tables |
pattern |
group variable of missing data pattern |
Author(s)
Takuya Yanagida takuya.yanagida@univie.ac.at
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.coverage
, na.descript
,
na.indicator
, na.prop
, na.test
Examples
## Not run:
# Example 1a: Compute a summary of missing data patterns
dat.pattern <- na.pattern(airquality)
# Example 1b: Alternative specification using the 'data' argument
dat.pattern <- na.pattern(., data = airquality)
# Example 2: Vector of missing data pattern for each case
dat.pattern$pattern
# Data frame without cases with missing data pattern 2 and 4
airquality[!dat.pattern$pattern
# Example 3a: Write Results into an text file
result <- na.pattern(airquality, write = "NA_Pattern.txt")
# Example 3b: Write Results into an Excel file
result <- na.pattern(airquality, write = "NA_Pattern.xlsx")
result <- na.pattern(dat, output = FALSE)
write.result(result, "NA_Pattern.xlsx")
## End(Not run)