SMLoutliers-package: An R package for identifying outliers using statistical and...

In SMLoutliers: Outlier Detection Using Statistical and Machine Learning Methods

Description

We intend to provide host of methods for identifying outliers. This will cut across statistical and machine learning methods.

References

M.M. Breunig, H.P. Kriegel, R.T. Ng, and J. Sander. Lof: Identifying density-based local outliers. In Proc. SIGMOD Conf., pages 93-104, 2000.

Examples

data(stiff)
summary(stiff)

Example output

       x1             x2             x3             x4      
 Min.   :1325   Min.   :1170   Min.   :1002   Min.   :1176  
 1st Qu.:1715   1st Qu.:1596   1st Qu.:1296   1st Qu.:1520  
 Median :1863   Median :1680   Median :1466   Median :1674  
 Mean   :1906   Mean   :1750   Mean   :1509   Mean   :1725  
 3rd Qu.:2057   3rd Qu.:1889   3rd Qu.:1624   3rd Qu.:1881  
 Max.   :2983   Max.   :2794   Max.   :2412   Max.   :2581  

SMLoutliers documentation built on May 1, 2019, 9:57 p.m.