Preprocessing and Analyzing Web Tracking Data
Add the next visit as a new column
Add panelist features to tracking data
Add the previous visit as a new column
Deduplicate visits
Dissimilarity Index
Drop the query and fragment from URL
Extract the domain from URL
Extract the host from URL
Extract the path from URL
Add time spent on a visit in seconds
Add social media referrals as a new column
Add a session variable
Download and add the "title" of a URL
Symmetric Atkinson Index calculates the symmetric Atkinson index
Classify visits by matching to a list of classes
Create an urldummy variable
Isolation Index
Parse parts of path for text analysis
Print web tracking data
Summarize activity per person
Summarize visit duration by person
Summarize number of visits by person
Summary function for web tracking data
Check if columns are present
webtrackR: Preprocessing and Analyzing Web Tracking Data
An S3 class to store web tracking data
Data structures and methods to work with web tracking data. The functions cover data preprocessing steps, enriching web tracking data with external information and methods for the analysis of digital behavior as used in several academic papers (e.g., Clemm von Hohenberg et al., 2023 <doi:10.17605/OSF.IO/M3U9P>; Stier et al., 2022 <doi:10.1017/S0003055421001222>).