Using Google Analytics API with R:dimensions and metrics

I modified the query I wrote earlier at http://www.decisionstats.com/using-google-analytics-with-r/to get multiple dimensions and metrics from the Google Analytics API, like hour of day,day of week to get cyclical parameters.We are adding the dimensions, and metrics to bring more depth in our analysis.Basically we are trying to do a time series analysis for forecasting web analytics data( which is basically time -stamped and rich in details ).

Basically I am modifying the dimensions and metrics parameters of the query code using the list at

http://code.google.com/apis/analytics/docs/gdata/dimsmets/dimsmets.html

query <- QueryBuilder()
query$Init(start.date = "2011-08-20",
                   end.date = "2012-08-25",
                   dimensions = c("ga:date","ga:hour","ga:dayOfWeek"),
                   metrics = c("ga:visitors","ga:visits","ga:pageviews","ga:timeOnSite"),
                   sort = c("ga:date","ga:hour","ga:dayOfWeek"),
                   table.id = paste(profiles$profile[3,3]))

#5. Make a request to get the data from the API 

ga.data <- ga$GetReportData(query)

#6. Look at the returned data 

str(ga.data)

head(ga.data$data)

and we need the lubridate package to create a ymd:hour (time stamp) since GA gives data aggregated at a hourly level at most. Also we need to smoothen the effect of weekend on web analytics data.

#Using package lubridate to convert character dates into time

library(lubridate)
ga.data$data[,1]=ymd(ga.data$data[,1])
ls()
dataset1=ga.data$data
names(dataset1) <- make.names(names(dataset1))
str(dataset1)
head(dataset1)