boxplotAPEs: Boxplot of absolute percentage errors for the given data from...

In svcuonghvktqs/FORA: A package for time sereis forecast accuracy evaluation

Description

This function returns box and whisker plots of absolute percentage errors (APE) for the given data from dataset for diferent methods

Usage

boxplotAPEs(df, useLogs = FALSE, notch = FALSE, limits = NULL,
  showOutliers = NULL, ...)

Arguments

df	A data frame containing columns "actual", "forecast", and "method".
useLogs	logical. If useLogs==TRUE the resulting box and whisker plotted in logarithmic scales. If FALSE the resulting box and whisker plotted in scales by default.
notch	logical. If the notch==TRUE, a notch is drawn in each side of the boxes.
limits	The minimum and maximum values on the axis APE. If xlim is NULL, minimum and maximum values are calculated based on given data.
showOutliers	If showOutliers is NA, the outliers are not drawn.
...	Other undocumented arguments.

Value

boxplotAPEs function returns box and whisker plot of percentage errors for the given data from dataset containing columns named "actual", "forecast" and "method" for different methods.

Author(s)

Andrey Davydenko, Maxim shcherbokov and Sai Van Cuong

References

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.

See Also

boxplotPEs, plotPRD.

Examples

boxplotAPEs(FORAYearForecast)
data1 <- FORAYearForecast[1:300,]
boxplotAPEs(data1)
boxplotAPEs(FORAYearForecast, notch = TRUE, limits = c(0, 0.5), showOutlier = NA)

svcuonghvktqs/FORA documentation built on May 20, 2019, 9:57 a.m.