Make a metric filter object
met_filter(
metric,
operator = c("EQUAL", "LESS_THAN", "GREATER_THAN", "IS_MISSING"),
comparisonValue,
not = FALSE
)
metric name to filter on.
How to match the dimension.
What to match.
Logical NOT operator. Boolean.
An object of class met_fil_ga4
for use in filter_clause_ga4()
Other filter functions:
dim_filter()
,
filter_clause_ga4()
if (FALSE) {
library(googleAnalyticsR)
## authenticate,
## or use the RStudio Addin "Google API Auth" with analytics scopes set
ga_auth()
## get your accounts
account_list <- google_analytics_account_list()
## pick a profile with data to query
ga_id <- account_list[23,'viewId']
## create filters on metrics
mf <- met_filter("bounces", "GREATER_THAN", 0)
mf2 <- met_filter("sessions", "GREATER", 2)
## create filters on dimensions
df <- dim_filter("source","BEGINS_WITH","1",not = TRUE)
df2 <- dim_filter("source","BEGINS_WITH","a",not = TRUE)
## construct filter objects
fc2 <- filter_clause_ga4(list(df, df2), operator = "AND")
fc <- filter_clause_ga4(list(mf, mf2), operator = "AND")
## make v4 request
ga_data1 <- google_analytics_4(ga_id,
date_range = c("2015-07-30","2015-10-01"),
dimensions=c('source','medium'),
metrics = c('sessions','bounces'),
met_filters = fc,
dim_filters = fc2,
filtersExpression = "ga:source!=(direct)")
}