plot_res: Plotting the residuals
In RamiKrispin/forecastML: Time Series Forecasting with Linear Regression and Machine Learing Methods
Description
Usage
Arguments
Examples
Description
Plotting the residuals
Usage
1
Arguments
model
A trainML object
na.rm
A boolean, if TRUE will ignore missing values, by default set to FALSE
margin
A numeric, define the margin space between the subplot components
Examples
1
2
3
4
5
# Train a time series forecasting model
md <- trainML(input = AirPassengers, trend = list(linear = TRUE), seasonal = "month")
# create a residuals plot
plot_res(md)
RamiKrispin/forecastML documentation built on Nov. 15, 2019, 9:58 a.m.
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Description Usage Arguments Examples
Description
Plotting the residuals
Usage
1 |
Arguments
model |
A trainML object |
na.rm |
A boolean, if TRUE will ignore missing values, by default set to FALSE |
margin |
A numeric, define the margin space between the subplot components |
Examples
1 2 3 4 5 | # Train a time series forecasting model
md <- trainML(input = AirPassengers, trend = list(linear = TRUE), seasonal = "month")
# create a residuals plot
plot_res(md)
|
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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