plot.seas | R Documentation |

Functions to graphically analyze a `"seas"`

object.

## S3 method for class 'seas' plot( x, outliers = TRUE, trend = FALSE, main = "Original and Adjusted Series", xlab = "Time", ylab = "", transform = c("none", "PC", "PCY"), ... ) residplot( x, outliers = TRUE, main = "residuals of regARIMA", xlab = "Time", ylab = "", ... ) ## S3 method for class 'seas' monthplot(x, choice = c("seasonal", "irregular"), main, ...)

`x` |
an object of class |

`outliers` |
logical, should the outliers be drawn. |

`trend` |
logical, should the trend be drawn. |

`main` |
character string, title of the graph. |

`xlab` |
character string, title for the x axis. |

`ylab` |
character string, title for the y axis. |

`transform` |
character string, optionally transform the data to period to period |

`...` |
further arguments passed to the plotting functions. |

`choice` |
character string, |

`plot`

calls the plot method for class `"seas"`

. It plots the
adjusted and unadjusted series, as well as the outliers. Optionally draws the
trend series.

`residplot`

plots the residuals and the outliers.

`monthplot`

calls the monthplot method for class `"seas"`

. It plot
the seasonal and SI component periodwise. Despite its name, `monthplot`

can be used for series of all frequencies.

All plot functions return a plot as their side effect.

Vignette with a more detailed description: http://www.seasonal.website/seasonal.html

Comprehensive list of R examples from the X-13ARIMA-SEATS manual: http://www.seasonal.website/examples.html

Official X-13ARIMA-SEATS manual: https://www2.census.gov/software/x-13arima-seats/x13as/windows/documentation/docx13as.pdf

`seas()`

, for the main function.

`udg()`

, for diagnostical statistics.

m <- seas(AirPassengers) plot(m) plot(m, outliers = FALSE) plot(m, trend = TRUE) residplot(m) residplot(m, outliers = FALSE) monthplot(m) # use standard R functions to analyze "seas" models pacf(resid(m)) spectrum(diff(resid(m))) plot(density(resid(m))) qqnorm(resid(m))

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