descMissData: Lists missing data patterns in the specified dataset
Description
This function summarises the missing data patterns in the specified dataset.
Each row in the output corresponds to a missing data pattern (1=observed,
0=missing). The number and percentage of observations is also displayed for
each missing data pattern. The first column indicates the number of missing
data patterns. The second column refers to the analysis model outcome
('y'), with all other variables ('covs') displayed in subsequent columns.
Alternatively, 'y' can be used to display the primary variable of interest,
e.g. 'y' could refer to the exposure, with all other variables listed in
'covs'.
Usage
descMissData(y, covs, data, plot = FALSE)
Value
A summary of the missing data patterns
Arguments
y
The analysis model outcome, specified as a string
covs
The analysis model covariate(s), specified as a string (space
delimited)
data
A data frame containing the specified analysis model outcome and
covariate(s)
plot
If TRUE, displays a plot using md.pattern to
visualise the missing data patterns; use plot = FALSE (the default) to
disable the plot