Description Usage Arguments Value Examples

Use the command "tso" of the R package "tsoutliers" to identify outliers for each individual time series.

1 2 3 4 5 6 |

`x` |
T by k data matrix: T data points in rows with each row being data at a given time point, and k time series in columns. |

`type` |
A character vector indicating the type of outlier to be considered by the detection procedure. See 'types' in tso function. |

`tsmethod` |
The framework for time series modeling. Default is "arima". See 'tsmethod' in tso function. |

`args.tsmethod` |
An optional list containing arguments to be passed to the function invoking the method selected in tsmethod. See 'args.tsmethod' in tso function. Default value is c(5,0,0). |

A list containing:

Otable - Summary of various types of outliers detected.

x.cleaned - Outlier-adjusted data.

xadja - T-dimensional vector containing the number of time series that have outlier at a given time point.

1 2 | ```
data(TaiwanAirBox032017)
output <- SummaryOutliers(TaiwanAirBox032017[1:50,1:3])
``` |

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