print.outlieroutputs: Print outliers in human-readable format

In outliertree: Explainable Outlier Detection Through Decision Tree Conditioning

Print outliers in human-readable format

Description

Pretty-prints outliers as output by the 'predict' function from an Outlier Tree model (as generated by function 'outlier.tree'), or by 'extract.training.outliers'. Same as function 'summary'.

Usage

## S3 method for class 'outlieroutputs'
print(x, outliers_print = 15L, min_decimals = 2L, only_these_rows = NULL, ...)

Arguments

x	Outliers as returned by predict method on an object from 'outlier.tree'.
outliers_print	Maximum number of outliers to print.
min_decimals	Minimum number of decimals to use when printing numeric values for the flagged outliers. The number of decimals will be dynamically increased according to the relative magnitudes of the values being reported. Ignored when passing 'outliers_print=0' or 'outliers_print=FALSE'.
only_these_rows	Specific rows to print (either numbers if the row names in the original data frame were null, or the row names they had if non-null). Pass 'NULL' to print information about potentially all rows
...	Not used.

Value

The same input 'x' that was passed (as 'invisible').

See Also

outlier.tree predict.outliertree

Examples

### Example re-printing results for selected rows
library(outliertree)
data("hypothyroid")

### Fit model
otree <- outlier.tree(hypothyroid,
  nthreads=1,
  outliers_print=0)
  
### Store predictions
pred <- predict(otree,
  hypothyroid,
  outliers_print=0,
  return_outliers=TRUE,
  nthreads=1)
  
### Print stored predictions
### Row 531 is an outlier, but 532 is not
print(pred, only_these_rows = c(531, 532))

outliertree documentation built on Nov. 22, 2023, 1:08 a.m.