plot.visitation_forecast {VisitorCounts}

visitation_forecast Plot Methods

Description

Methods for plotting objects of the class "visitation_forecast".

Usage

## S3 method for class 'visitation_forecast'
plot(
  x,
  difference = FALSE,
  log_outputs = FALSE,
  actual_visitation = NULL,
  xlab = "Time",
  ylab = "Fitted Value",
  pred_color = "#228B22",
  actual_color = "#FF0000",
  size = 1.5,
  main = "Forecasts for Visitation Model",
  plot_points = FALSE,
  ...
)

Arguments

x

An object of class "visitation_forecast".

difference

A Boolean specifying whether to plot the original fit or differenced series. The default option is FALSE, in which case, the series is not differenced.

log_outputs

A Boolean specifying whether to plot the outputs in standard scale or the logged outputs

actual_visitation

A time series object representing the actual visitation in the standard scale

xlab

A String to overwrite the x label of the graph

ylab

A String to overwrite the y label of the graph

pred_color

A String to specify the color of the line for predicted visitation

actual_color

A String to specify the color of the line for actual visitation

size

A number representing the size of the line to plot.

main

A String to overwrite the main label of the graph

plot_points

A Boolean specifying whether to plot the individual points of visitation

...

Additional arguments.

Value

No return value, called for plotting objects of the class "visitation_forecast".

Examples

#' #Example:

data("park_visitation")
data("flickr_userdays")

n_ahead <- 12
park <- "YELL"
pud_ts <- ts(park_visitation[park_visitation$park == park,]$pud, start = 2005, freq = 12)
pud_ts <- log(pud_ts)
trend_proxy <- log(flickr_userdays)

mf <- visitation_model(pud_ts,trend_proxy)
vf <- predict(mf,12, only_new = TRUE)
plot(vf)