The goal of compenginets is to provide all the time series from https://www.comp-engine.org/
Installation
compenginets currently isn’t on CRAN.
You can install the development version from Github
# install.packages("devtools")
devtools::install_github("robjhyndman/compenginets")Usage
library(compenginets)
# cets_finance <- get_cets("finance")
W138_finance_m4 <- get_cets("M4_W138_Finance_1", category = FALSE)
str(W138_finance_m4)
#> Time-Series [1:1044] from 1 to 1044: 2062 2086 2026 2076 2077 ...
#> - attr(*, "name")= chr "M4_W138_Finance_1"
#> - attr(*, "description")= chr ""
#> - attr(*, "samplingInformation.samplingRate")= chr "1.00"
#> - attr(*, "samplingInformation.samplingUnit")= chr "/week"
#> - attr(*, "tags")= chr [1:3] "finance" "M4" "weekly"
#> - attr(*, "category.name")= chr "Finance"
#> - attr(*, "category.uri")= chr "real/finance/"
#> - attr(*, "sfi.name")= chr [1:22] "DN_HistogramMode_5" "DN_HistogramMode_10" "CO_Embed2_Dist_tau_d_expfit_meandiff" "CO_f1ecac" ...
#> - attr(*, "sfi.prettyName")= chr [1:22] "DN_HistogramMode_5" "DN_HistogramMode_10" "CO_Embed2_Dist_tau_d_expfit_meandiff" "CO_f1ecac" ...
#> - attr(*, "sfi.value")= num [1:22] 84 86.8 65.2 14 23.8 ...
#> - attr(*, "source")= logi NA