webtrackR (version 0.1.0)

sum_visits: Summarize number of visits by person

Description

sum_visits() summarizes the number of visits by person within a timeframe, and optionally by visit_class of visit.

Usage

sum_visits(wt, timeframe = NULL, visit_class = NULL)

Value

a data.table with columns panelist_id, column indicating the time unit (unless timeframe set to NULL), n_visits indicating the number of visits, and a column for each value of visit_class, if specified.

Arguments

wt

webtrack data object.

timeframe

character. Indicates for what time frame to aggregate visits. Possible values are "date", "week", "month", "year", "wave" or NULL. If set to "wave", wt must contain a column call wave. Defaults to NULL, in which case the output contains number of visits for the entire time.

visit_class

character. Column that contains a classification of visits. For each value in this column, the output will have a column indicating the number of visits belonging to that value. Defaults to NULL.

Examples

if (FALSE) {
data("testdt_tracking")
wt <- as.wt_dt(testdt_tracking)
# summarize for whole period
wt_summ <- sum_visits(wt)
# summarize by week
wt_summ <- sum_visits(wt, timeframe = "week")
# create a class variable to summarize by class
wt <- suppressWarnings(extract_domain(wt, drop_na = TRUE))
wt[, google := ifelse(domain == "google.com", 1, 0)]
wt_summ <- sum_visits(wt, timeframe = "week", visit_class = "google")
}