plot_fc: Plotting the forecast output
In RamiKrispin/forecastML: Time Series Forecasting with Linear Regression and Machine Learing Methods
Description
Usage
Arguments
Value
Examples
Description
Plotting the forecast output
Usage
1
plot_fc(forecast, theme = "normal")
Arguments
forecast
A forecastML object
theme
A character, defines the color theme to be used in the plot output.
Available themes - "normal" (default), "darkBlue", "darkPink", "darkGreen", "classic", "lightBeige"
Value
A plotly object
Examples
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9
# Train a time series forecasting model
md <- trainML(input = AirPassengers, trend = list(linear = TRUE), seasonal = "month")
fc <- forecastML(model = md, h = 60)
# Plot the forecast model
plot_fc(fc)
# Use different plot theme
plot_fc(fc, theme = "darkPink")
RamiKrispin/forecastML documentation built on Nov. 15, 2019, 9:58 a.m.
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Description Usage Arguments Value Examples
Description
Plotting the forecast output
Usage
1 | plot_fc(forecast, theme = "normal")
|
Arguments
forecast |
A forecastML object |
theme |
A character, defines the color theme to be used in the plot output. Available themes - "normal" (default), "darkBlue", "darkPink", "darkGreen", "classic", "lightBeige" |
Value
A plotly object
Examples
1 2 3 4 5 6 7 8 9 | # Train a time series forecasting model
md <- trainML(input = AirPassengers, trend = list(linear = TRUE), seasonal = "month")
fc <- forecastML(model = md, h = 60)
# Plot the forecast model
plot_fc(fc)
# Use different plot theme
plot_fc(fc, theme = "darkPink")
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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