Errorlocation contains the result of a error detection. Errors can record based or variable based.
A record based error is restricted within one observation.
errorlocate() using the Felligi Holt algorithm assumes errors are record based.
A variable based error is a flaw in uni- or multivariate distribution. To correct this error multiple observations or the aggregated number should be adjusted.
$errors: matrix indicating which values are erronuous (TRUE),
missing (NA) or valid (FALSE)
$weight: The total weight per record. A weight of 0 means no errors were detected.
$status: The status of the mip solver for this record.
$duration: The number of seconds for processing each record.
Current implementation assumes that errors are record based. The error locations can be retrieved
using the method values() and are a matrix of
rows and columns, with the same dimensions are the data.frame that was checked.
For errors that are purely column based, or dataset based, errorlocations will return a matrix with all
rows or cells set to TRUE.
The values() return NA for missing values.
Other error finding:
errors_removed(),
expand_weights(),
locate_errors(),
replace_errors()