outlier.plot | R Documentation |

Use an upper and a lower timewise quantile series to highlight the possible outliers in a collection of time series.

outlier.plot(x, prob = 0.05, percent = 0.05, xtime = NULL)

`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. |

`prob` |
Tail probability. That is, the two quantile series is (prob, 1-prob). prob is restricted to be in (0,0.15). Default value is 0.05. |

`percent` |
The number of possible outliers in each side is T*k*prob*percent. |

`xtime` |
A vector with the values for the x labels. Default values are 1, 2, 3, ... |

A list containing:

standardized - A matrix containing standardized time series.

qts - The timewise quantile of order prob.

minseries - The timewise minimum of the standardized time series.

maxseries - The timewise maximum of the standardized time series.

data(TaiwanAirBox032017) output <- outlier.plot(TaiwanAirBox032017[,1:3])

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