| compare_missing {manydata} | R Documentation |
Compare missing observations for 'many' data
Description
Compare missing observations for 'many' data
Usage
compare_missing(datacube, dataset = "all", variable = "all")
Arguments
datacube |
A datacube from one of the many packages. |
dataset |
A dataset in a datacube from one of the many packages. NULL by default. That is, all datasets in the datacube are used. To select two or more datasets, please declare them as a vector. |
variable |
Would you like to focus on one, or more, specific variables present in one or more datasets in the 'many' datacube? By default "all". For multiple variables, please declare variable names as a vector. |
Details
compare_missing() compares the missing observations for variables
in each dataset in a 'many' datacube.
Value
compare_missing() returns a tibble with information about each dataset
including the number of observations, the number of variables,
the earliest date, and the latest date in all observations.
See Also
Other compare_:
compare_categories(),
compare_dimensions(),
compare_overlap(),
compare_ranges()
Examples
compare_missing(emperors)
plot(compare_missing(emperors))