prophet_plot_components

Data frame returned by predict(m, df).

fcst

Boolean indicating if the uncertainty interval should be
plotted for the trend, from fcst columns trend_lower and trend_upper.

uncertainty

Boolean indicating if the capacity should be shown in the
figure, if available.

plot_cap

Integer specifying the start day of the weekly
seasonality plot. 0 (default) starts the week on Sunday. 1 shifts by 1 day
to Monday, and so on.

weekly_start

Integer specifying the start day of the yearly
seasonality plot. 0 (default) starts the year on Jan 1. 1 shifts by 1 day
to Jan 2, and so on.

yearly_start

Plot the components of a prophet forecast.
Prints a ggplot2 with panels for trend, weekly and yearly seasonalities if
present, and holidays if present.

Implements a procedure for forecasting time series data based on
an additive model where non-linear trends are fit with yearly and weekly
seasonality, plus holidays.  It works best with daily periodicity data with
at least one year of historical data.  Prophet is robust to missing data,
shifts in the trend, and large outliers.

Sean Taylor

prophet

Automatic Forecasting Procedure

Ben Letham

prophet_plot_components function

Plot the components of a prophet forecast.
Prints a ggplot2 with panels for trend, weekly and yearly seasonalities if
present, and holidays if present. — prophet_plot_components

Plot the components of a prophet forecast.
Prints a ggplot2 with panels for trend, weekly and yearly seasonalities if
present, and holidays if present.

prophet_plot_components: Plot the components of a prophet forecast. Prints a ggplot2 with panels for trend, weekly and yearly seasonalities if present, and holidays if present.

Description

Usage

Arguments

Value