sum_durations: Summarize visit duration by person

In webtrackR: Preprocessing and Analyzing Web Tracking Data

Summarize visit duration by person

Description

sum_durations() summarizes the duration of visits by person within a timeframe, and optionally by visit_class of visit. Note:

• If for a time frame all rows are NA on the duration column, the summarized duration for that time frame will be NA.

• If only some of the rows of a time frame are NA on the duration column, the function will ignore those NA rows.

• If there were no visits to a class (i.e., a value of the 'visit_class' column) for a time frame, the summarized duration for that time frame will be zero; if there were visits, but NA on duration, the summarized duration will be NA.

Usage

sum_durations(wt, var_duration = NULL, timeframe = NULL, visit_class = NULL)

Arguments

wt	webtrack data object.
var_duration	character. Name of the duration variable if already present. Defaults to NULL, in which case duration will be approximated with add_duration(wt, cutoff = 300, replace_by = "na", replace_val = NULL)
timeframe	character. Indicates for what time frame to aggregate visit durations. 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 duration 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.

Value

a data.frame with columns panelist_id, column indicating the time unit (unless timeframe set to NULL), duration_visits indicating the duration of visits (in seconds, or whatever the unit of the variable specified by var_duration parameter), and a column for each value of visit_class, if specified.

Examples

## Not run: 
data("testdt_tracking")
wt <- as.wt_dt(testdt_tracking)
# summarize for whole period
wt_summ <- sum_durations(wt)
# summarize by week
wt_summ <- sum_durations(wt, timeframe = "week")
# create a class variable to summarize by class
wt <- extract_domain(wt)
wt$google <- ifelse(wt$domain == "google.com", 1, 0)]
wt_summ <- sum_durations(wt, timeframe = "week", visit_class = "google")

## End(Not run)

webtrackR documentation built on May 29, 2024, 10:02 a.m.