Rosner's test for outliers
rosner_test(df, x = "analysis_result", k = 3, alpha = 0.05, warn = TRUE, group_by_location = FALSE, keep_data_object = FALSE)
| df | data.frame of groundwater data |
|---|---|
| x | column of analysis results |
| k | number of suspected outliers. Default is 3. |
| alpha | numerical scalar bewteen 0 and 1 indicating the Type I error |
| warn | logical scalar indicating whether to issue a warning (warn=TRUE; the default) when the number of non-missing, finite values in x and the value of k are such that the assumed Type I error level might not be maintained. |
| group_by_location | TRUE/FALSE |
| keep_data_object | TRUE/FALSE to return entire gofOutlier object |