Comprehensive diagnostics for a distance matrix with actionable suggestions.
Usage
diagnose_distance_matrix(
cost_matrix,
left = NULL,
right = NULL,
vars = NULL,
warn = TRUE
)
# S3 method for class 'distance_diagnostics'
print(x, ...)
# S3 method for class 'distance_diagnostics'
summary(object, ...)
Arguments
- cost_matrix
Numeric matrix of distances
- left
Left dataset (for variable checking)
- right
Right dataset (for variable checking)
- vars
Variables used for matching
- warn
If TRUE, issue warnings
- x, object
A distance_diagnostics object.
- ...
Ignored.
Value
A distance_diagnostics list with the cost distribution,
variable issues, problem variables, suggestions, and quality assessment.
summary() returns these findings as summary.distance_diagnostics.
