Use a model created by ga_model_make

ga_model(viewId, model, load_libs = TRUE, ...)

Arguments

viewId

The GA viewId to operate on

model

A file location of a model object or a model object created by ga_model_make

load_libs

Whether to load the library requirements into your namespace

...

Other arguments to pass into the model as needed

Examples


# 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"))


}