ggtsdiag: Plots time-series diagnostics

In ggfortify: Data Visualization Tools for Statistical Analysis Results

Plots time-series diagnostics

Description

Plots time-series diagnostics

Usage

ggtsdiag(
  object,
  gof.lag = 10,
  conf.int = TRUE,
  conf.int.colour = "#0000FF",
  conf.int.linetype = "dashed",
  conf.int.fill = NULL,
  conf.int.alpha = 0.3,
  ad.colour = "#888888",
  ad.linetype = "dashed",
  ad.size = 0.2,
  nrow = NULL,
  ncol = 1,
  ...
)

Arguments

object	A fitted time-series model
gof.lag	The maximum number of lags for a Portmanteau goodness-of-fit test
conf.int	Logical flag indicating whether to plot confidence intervals
conf.int.colour	line colour for confidence intervals
conf.int.linetype	line type for confidence intervals
conf.int.fill	fill colour for confidence intervals
conf.int.alpha	alpha for confidence intervals
ad.colour	Line colour for additional lines
ad.linetype	Line type for additional lines
ad.size	Fill colour for additional lines
nrow	Number of facet/subplot rows
ncol	Number of facet/subplot columns
...	other keywords

Value

ggplot

Examples

## Not run: 
ggtsdiag(arima(AirPassengers))

## End(Not run)

ggfortify documentation built on May 29, 2024, 7:19 a.m.