summarize_all_art_exps: Summarize the results of all (artificial) in-set/out-set...

In mrfoliveira/Evaluation-procedures-for-forecasting-with-spatio-temporal-data: Evaluation procedures for forecasting with spatio-temporal data

Description

Summarize the results of all (artificial) in-set/out-set experiments

Usage

summarize_all_art_exps(all.res, statFUN, na.rm)

Arguments

all.res	a multi-level list with where the first level corresponds to learning model used in the experiment, the second level contains a list for each grid size of artificial data set, the third level contains a list for each time series size. Inside there is a list for each generated set, the list containing a list of results for each lag embed order
statFUN	a function to summarize the evaluation metrics. Default is mean
na.rm	whether to remove NAs in function statFUN

Value

A data frame containing columns identifying the learning model, grid size, time series size, type of STARMA used to generate the data, order of STARMA used to generate, number of iteration of the generation process with those settings, lag embed order, gold standard error (that of the out-set), name of error estimator and estimated error (on the in-set)

See Also

summarize_multiple_exp

mrfoliveira/Evaluation-procedures-for-forecasting-with-spatio-temporal-data documentation built on April 11, 2021, 10:50 a.m.