ga_aggregate: Aggregate a Google Analytics dataframe over inputted columns

In MarkEdmondson1234/googleAnalyticsR: Google Analytics API into R

Aggregate a Google Analytics dataframe over inputted columns

Description

A helper function to aggregate over dimensions

Usage

ga_aggregate(
  ga_data,
  agg_names = NULL,
  mean_regex = "^avg|^percent|Rate$|^CPC$|^CTR$|^CPM$|^RPC$|^ROI$|^ROAS$|Per"
)

Arguments

ga_data	A dataframe of data to aggregate
agg_names	The columns to aggregate over
mean_regex	The regex for column names to do mean() rather than sum()

Details

Will auto select metrics if they are numeric class columns. Will auto perform mean aggregation it metric names match mean_regex argument If agg_names is NULL will aggregate over all

Examples

## Not run: 

# use `aggregateGAData` so you can on the fly create summary data
ga_data <- google_analytics(81416156, 
                            date_range = c("10daysAgo", "yesterday"),
                            metrics = "sessions", dimensions = c("hour","date"))
                            
# if we want totals per hour over the dates:
ga_aggregate(ga_data[,c("hour","sessions")], agg_names = "hour")

# it knows not to sum metrics that are rates:
ga_aggregate(ga_data[,c("hour","bounceRate")], agg_names = "hour")



## End(Not run)

MarkEdmondson1234/googleAnalyticsR documentation built on Oct. 13, 2023, 4:40 a.m.