calculateSMAPEs: Symmetric Mean Absolute Percentage Errors(SMAPEs)
In svcuonghvktqs/FORA: A package for time sereis forecast accuracy evaluation

Description Usage Arguments Value Author(s) References See Also Examples

This function calculates and returns list of two dataframes, where the first data frame contains SMAPEs for the given data, diferent horizons and methods, the second one contains ranked list of the methods according to SMAPEs. Also the function plots SMAPEs for different hirizons and methods.

1	calculateSMAPEs(frame, sort = FALSE)

`frame`	A data frame containing columns "actual", "forecast", "method", and "horizon".
`sort`	logical. If TRUE the resulting list of SMAPEs dataframe and ranked dataframe of SMAPEs sorting by average value.

calculateSMAPEs function calculates and returns list of two dataframes, where the first data frame contains SMAPEs for the given data, diferent horizons and methods, the second one contains ranked dataframe of the methods according to SMAPEs. Also the function plots SMAPEs for different hirizons and methods.

Sai Van Cuong, Maixm Shcherbakov and Andrey Davydenko

Rob J. Hyndman, Anne B. Koehler (2006) Volume title: "International Journal of Forecasting". Chapter title: Another look at measures of forecast accuracy. Chapter pages : (p.679-688). http://eva.fcea.edu.uy/pluginfile.php/109034/mod_resource/content/0/2006_Hyndman_Predicc.pdf.

calculateAvgRelMAEs, calculateGMAPEs, calculateGMRAEs, calculateMAD_MEAN_ratio, calculateMAEs, calculateMAPEs, calculateMASEs, calculateMdAPEs, calculateMPEs, calculateMSEs, calculatePB_MAEs, calculateRMSEs, calculateSMdAPEs.

calculateSMAPEs(frame = FORAYearForecast)
calculateSMAPEs(frame = FORAYearForecast, sort = TRUE)
data1 <- subset(FORAYearForecast, actual >= 5000| forecast < 8000)
data2 <- FORAYearForecast[1:300,]
calculateSMAPEs(frame = data1, sort = TRUE)
calculateSMAPEs(frame = data2, sort = TRUE)