Use a model created by ga_model_make
ga_model(viewId, model, load_libs = TRUE, ...)
The GA viewId to operate on
A file location of a model object or a model object created by ga_model_make
Whether to load the library requirements into your namespace
Other arguments to pass into the model as needed
Other GA modelling functions:
ga_model_edit()
,
ga_model_example()
,
ga_model_load()
,
ga_model_make()
,
ga_model_save()
,
ga_model_shiny_load()
,
ga_model_shiny_template()
,
ga_model_shiny()
,
ga_model_write()
# models that come with the package
ga_model_example()
#> [1] "decomp_ga.gamr" "decomp_ga_advanced.gamr"
#> [3] "ga-effect.gamr" "ga4-trend.gamr"
#> [5] "market-basket.gamr" "time-normalised.gamr"
if (FALSE) {
# your own Google Analytics viewID
my_viewid <- 81416156
# load the model (equivalent to ga_model_load())
decomp_ga <- ga_model_example("decomp_ga.gamr")
# apply model to your data
d1 <- ga_model(my_viewid, model = decomp_ga)
# change default date range to 20 days ago to yesterday
d2 <- ga_model(my_viewid, model = decomp_ga,
date_range = c("20daysAgo","yesterday"))
}