test_forecast {TSstudio} | R Documentation |
Visualize of the Fitted and the Forecasted vs the Actual Values
Description
Visualize the fitted values of the training set and the forecast values of the testing set against the actual values of the series
Usage
test_forecast(actual, forecast.obj, train = NULL, test, Ygrid = FALSE,
Xgrid = FALSE, hover = TRUE)
Arguments
actual |
The full time series object (supports "ts", "zoo" and "xts" formats) |
forecast.obj |
The forecast output of the training set with horizon align to the length of the testing (support forecasted objects from the “forecast” package) |
train |
Training partition, a subset of the first n observation in the series (not requiredthed) |
test |
The testing (hold-out) partition |
Ygrid |
Logic,show the Y axis grid if set to TRUE |
Xgrid |
Logic,show the X axis grid if set to TRUE |
hover |
If TRUE add tooltip with information about the model accuracy |
Examples
## Not run:
library(forecast)
data(USgas)
# Set the horizon of the forecast
h <- 12
# split to training/testing partition
split_ts <- ts_split(USgas, sample.out = h)
train <- split_ts$train
test <- split_ts$test
# Create forecast object
fc <- forecast(auto.arima(train, lambda = BoxCox.lambda(train)), h = h)
# Plot the fitted and forecasted vs the actual values
test_forecast(actual = USgas, forecast.obj = fc, test = test)
## End(Not run)
[Package TSstudio version 0.1.7 Index]