Forecast : Parameters used to project an ordered, regularly spaced series forward (exponential smoothing, as R stats::HoltWinters) in 2d scatter plots
# forecastHorizon
Number of future steps to forecast. 0 uses the forecast package default: 10, or two seasons when forecastSeasonLength is greater than 1
Type:
integer
Default:
Used in:
Scatter2D
forecastHorizon : 10
forecastHorizon : 20
# forecastLevel
Level of the forecast prediction interval (e.g. 0.8 or 0.95)
Type:
float
Default:
0.95
Used in:
Scatter2D
forecastLevel : 0.8
forecastLevel : 0.95
# forecastLineType
forecastLineType : "dashed"
forecastLineType : "solid"
forecastLineType : "dotted"
# forecastMethod
Forecast method. ses : simple exponential smoothing (level), holt : level and trend, hw : Holt-Winters (level, trend and additive seasonality). auto uses hw when forecastSeasonLength is greater than 1, holt otherwise. Short series fall back hw to holt to ses
Type:
string
Default:
auto
Used in:
Scatter2D
forecastMethod : "auto"
forecastMethod : "ses"
forecastMethod : "holt"
forecastMethod : "hw"
# forecastSeasonLength
Number of observations per season (e.g. 12 for monthly data with a yearly cycle, 7 for daily data with a weekly cycle). 0 or 1 disables seasonality
Type:
integer
Default:
Used in:
Scatter2D
forecastSeasonLength : 0
forecastSeasonLength : 12
# showForecast
Name of a variable annotation, or set to true, to display a forecast (projected line and prediction interval) in Scatter plots. The x values must be regularly spaced (numbers or dates)
Type:
string
Default:
Used in:
Scatter2D
showForecast : true
# showForecastInterval
showForecastInterval : true
showForecastInterval : false
