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webtrackR
View on CRAN: Click
here
Download and install webtrackR package within the R console
Install from CRAN:
install.packages("webtrackR")
Install from Github:
library("remotes")
install_github("cran/webtrackR")
Install by package version:
library("remotes")
install_version("webtrackR", "0.3.1")
Attach the package and use:
library("webtrackR")
Maintained by
David Schoch
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-13
Latest Update: 2023-08-31
Description:
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>).
How to cite:
David Schoch (2023). webtrackR: Preprocessing and Analyzing Web Tracking Data. R package version 0.3.1, https://cran.r-project.org/web/packages/webtrackR. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Other R packages that webtrackR depends,
imports, suggests or enhances
Complete documentation for webtrackR
Functions, R codes and Examples using
the webtrackR R package
Some associated functions: add_duration . add_next_visit . add_panelist_data . add_previous_visit . add_referral . add_session . add_title . audience_incidence . audience_network . bakshy . classify_visits . create_urldummy . deduplicate . domain_list . drop_query . extract_domain . extract_host . extract_path . isolation_index . news_types . print.wt_dt . sum_activity . sum_durations . sum_visits . summary.wt_dt . testdt_survey_l . testdt_survey_w . testdt_tracking . vars_exist . webtrackR-package . wt_dt .
Some associated R codes: audience_networks.R . classify.R . data.R . globals.R . indices.R . preprocess.R . summarize.R . utils.R . webtrackR-package.R . wt_dt.R . Full webtrackR package functions and examples
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