Grubb's test for outliers
grubbs_test(df, x = "analysis_result", type = 10, opposite = FALSE, two_sided = FALSE, group_by_location = FALSE, keep_data_object = FALSE)
| df | data frame |
|---|---|
| x | column of analysis results |
| type | integer value indicating test variant. 10 is a test for one outlier (side is detected automatically and can be reversed by opposite parameter). 11 is a test for two outliers on opposite tails, 20 is test for two outliers in one tail. Default is 10 |
| opposite | a logical indicating whether you want to check not the value with largest difference from the mean, but opposite (lowest, if most suspicious is highest etc.). Default is FALSE |
| two_sided | Logical value indicating if there is a need to treat this test as two-sided. Default is FALSE |
| group_by_location | TRUE/FALSE default is FALSE |
| keep_data_object | TRUE/FALSE default is FALSE |