Preprocessing and Analyzing Web Tracking Data

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Documentation for package ‘webtrackR’ version 0.1.0

• DESCRIPTION file.

Help Pages

add_duration	Add time spent on a visit in seconds
add_next_visit	Add the next visit as a new column
add_panelist_data	Add panelist features to tracking data
add_previous_visit	Add the previous visit as a new column
add_referral	Add social media referrals as a new column
add_session	Add a session variable
add_title	Download and add the "title" of a URL
as.wt_dt	An S3 class, based on data.table, to store web tracking data
audience_incidence	Create incidence matrix for two-mode networks including audiences
audience_network	Create audience networks
bakshy	Bakshy Top500 Ideological alignment of 500 domains based on facebook data
classify_visits	Classify visits by matching to a list of classes
create_urldummy	Create an urldummy variable from a data.table object
deduplicate	Deduplicate visits
domain_list	Domain list classification of domains into news,portals, search, and social media
drop_query	Drop the query and fragment from URL
extract_domain	Extract the domain from URL
extract_host	Extract the host from URL
extract_path	Extract the path from URL
is.wt_dt	An S3 class, based on data.table, to store web tracking data
isolation_index	Isolation Index
news_types	News Types
print.wt_dt	Print web tracking data
summary.wt_dt	Summary function for web tracking data
sum_activity	Summarize activity per person
sum_durations	Summarize visit duration by person
sum_visits	Summarize number of visits by person
testdt_survey_l	Test survey
testdt_survey_w	Test survey
testdt_tracking	Test data
vars_exist	Check if columns are present
wt_dt	An S3 class, based on data.table, to store web tracking data