This package is considered a duplicate. The official version of this package is found at:https://gesistsa.r-universe.dev/webtrackR

Package: webtrackR 0.3.1.9000

webtrackR: Preprocessing and Analyzing 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>).

Authors:David Schoch [aut, cre], Bernhard Clemm von Hohenberg [aut], Frank Mangold [aut], Sebastian Stier [aut]

webtrackR_0.3.1.9000.tar.gz
webtrackR_0.3.1.9000.zip(r-4.5)webtrackR_0.3.1.9000.zip(r-4.4)webtrackR_0.3.1.9000.zip(r-4.3)
webtrackR_0.3.1.9000.tgz(r-4.4-any)webtrackR_0.3.1.9000.tgz(r-4.3-any)
webtrackR_0.3.1.9000.tar.gz(r-4.5-noble)webtrackR_0.3.1.9000.tar.gz(r-4.4-noble)
webtrackR_0.3.1.9000.tgz(r-4.4-emscripten)webtrackR_0.3.1.9000.tgz(r-4.3-emscripten)
webtrackR.pdf |webtrackR.html✨
webtrackR/json (API)
NEWS

# Install 'webtrackR' in R:

install.packages('webtrackR', repos = c('https://schochastics.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gesistsa/webtrackr/issues

Datasets:

bakshy - Bakshy Top500 Ideological alignment of 500 domains based on facebook data
domain_list - Domain list classification of domains into news,portals, search, and social media
fake_tracking - Fake data
news_types - News Types
testdt_survey_l - Test survey
testdt_survey_w - Test survey
testdt_tracking - Test data

On CRAN:

webtracking

5.08 score 9 stars 8 scripts 548 downloads 23 exports 13 dependencies

Last updated 1 months agofrom:c29bc73779. Checks:3 OK, 3 NOTE, 1 ERROR. Indexed: no.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 15 2025
R-4.5-win	OK	Jan 15 2025
R-4.5-linux	OK	Jan 15 2025
R-4.4-win	NOTE	Jan 15 2025
R-4.4-mac	NOTE	Jan 15 2025
R-4.3-win	ERROR	Jan 15 2025
R-4.3-mac	NOTE	Jan 15 2025

Exports:add_duration add_next_visit add_panelist_data add_previous_visit add_referral add_session add_title as.wt_dt atkinson_index classify_visits create_urldummy deduplicate dissimilarity_index drop_query extract_domain extract_host extract_path is.wt_dt isolation_index parse_path sum_activity sum_durations sum_visits

Dependencies:adaR askpass curl data.table fastmatch httr jsonlite mime openssl R6 Rcpp sys triebeard

webtrackR

Rendered fromwebtrackR.Rmdusingknitr::rmarkdownon Jan 15 2025.

Last update: 2024-04-28
Started: 2023-10-18

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Add time spent on a visit in seconds	add_duration
Add the next visit as a new column	add_next_visit
Add panelist features to tracking data	add_panelist_data
Add the previous visit as a new column	add_previous_visit
Add social media referrals as a new column	add_referral
Add a session variable	add_session
Download and add the "title" of a URL	add_title
Symmetric Atkinson Index calculates the symmetric Atkinson index	atkinson_index
Bakshy Top500 Ideological alignment of 500 domains based on facebook data	bakshy
Classify visits by matching to a list of classes	classify_visits
Create an urldummy variable	create_urldummy
Deduplicate visits	deduplicate
Dissimilarity Index	dissimilarity_index
Domain list classification of domains into news,portals, search, and social media	domain_list
Drop the query and fragment from URL	drop_query
Extract the domain from URL	extract_domain
Extract the host from URL	extract_host
Extract the path from URL	extract_path
Fake data	fake_tracking
Isolation Index	isolation_index
News Types	news_types
Parse parts of path for text analysis	parse_path
Print web tracking data	print.wt_dt
Summarize activity per person	sum_activity
Summarize visit duration by person	sum_durations
Summarize number of visits by person	sum_visits
Summary function for web tracking data	summary.wt_dt
Test survey	testdt_survey_l
Test survey	testdt_survey_w
Test data	testdt_tracking
Check if columns are present	vars_exist
An S3 class to store web tracking data	as.wt_dt is.wt_dt wt_dt