Privacy Policy & About this page

This website was generated using these great tools R Core Team (2020) Xie, Allaire, and Grolemund (2018) Xie (2014) Allaire, Iannone, and Xie (2020)

Privacy Policy

Effective date: September 23, 2018

Embedded Content

Articles on this site may include embedded content (e.g. videos, images, articles, etc.). Embedded content from other websites behaves in the exact same way as if the visitor has visited the other website.

These websites may collect data about you, use cookies, embed additional third-party tracking, and monitor your interaction with that embedded content, including tracing your interaction with the embedded content if you have an account and are logged in to that website.

Service Providers

We may employ third party companies and individuals to facilitate our Service (“Service Providers”), to provide the Service on our behalf, to perform Service-related services or to assist us in analyzing how our Service is used.

These third parties have access to your Personal Data only to perform these tasks on our behalf and are obligated not to disclose or use it for any other purpose.

Analytics

We may use third-party Service Providers to monitor and analyze the use of our Service.

Google Analytics

Google Analytics is a web analytics service offered by Google that tracks and reports website traffic. Google uses the data collected to track and monitor the use of our Service. This data is shared with other Google services. Google may use the collected data to contextualize and personalize the ads of its own advertising network.

You can opt-out of having made your activity on the Service available to Google Analytics by installing the Google Analytics opt-out browser add-on. The add-on prevents the Google Analytics JavaScript (ga.js, analytics.js, and dc.js) from sharing information with Google Analytics about visits activity.

For more information on the privacy practices of Google, please visit the Google Privacy & Terms web page: https://policies.google.com/privacy?hl=en

Our Service may contain links to other sites that are not operated by us. If you click on a third party link, you will be directed to that third party’s site. We strongly advise you to review the Privacy Policy of every site you visit.

We have no control over and assume no responsibility for the content, privacy policies or practices of any third party sites or services.

Changes To This Privacy Policy

We may update our Privacy Policy from time to time. We will notify you of any changes by posting the new Privacy Policy on this page.

If you have any questions about this Privacy Policy, please contact me by email

Allaire, JJ, Rich Iannone, and Yihui Xie. 2020. distill: ’R Markdown’ Format for Scientific and Technical Writing. https://CRAN.R-project.org/package=distill.
Arslan, Ruben. 2014. formr: Formr Survey Framework.
Arslan, Ruben C. 2019. “How to Automatically Document Data with the Codebook Package to Facilitate Data Re-Use.” Advances in Methods and Practices in Psychological Science 2 (2). https://doi.org/10.1177/2515245919838783.
Bates, Douglas, Martin Mächler, Ben Bolker, and Steve Walker. 2015. “Fitting Linear Mixed-Effects Models Using lme4.” Journal of Statistical Software 67 (1): 1–48. https://doi.org/10.18637/jss.v067.i01.
Bürkner, Paul-Christian. 2018. “Advanced Bayesian Multilevel Modeling with the R Package brms.” The R Journal 10 (1): 395–411. https://doi.org/10.32614/RJ-2018-017.
Chamberlain, Scott, Hao Zhu, Najko Jahn, Carl Boettiger, and Karthik Ram. 2020. rcrossref: Client for Various ’CrossRef’ ’APIs’. https://CRAN.R-project.org/package=rcrossref.
Chan, Chung-hong, Geoffrey CH Chan, Thomas J. Leeper, and Jason Becker. 2018. rio: A Swiss-Army Knife for Data File i/o.
Chang, Winston, and Hadley Wickham. 2019. ggvis: Interactive Grammar of Graphics. https://CRAN.R-project.org/package=ggvis.
Clarke, Erik, and Scott Sherrill-Mix. 2017. ggbeeswarm: Categorical Scatter (Violin Point) Plots. https://CRAN.R-project.org/package=ggbeeswarm.
Fox, John, and Jangman Hong. 2009. “Effect Displays in R for Multinomial and Proportional-Odds Logit Models: Extensions to the effects Package.” Journal of Statistical Software 32 (1): 1–24. http://www.jstatsoft.org/v32/i01/.
Fox, John, and Sanford Weisberg. 2019. An R Companion to Applied Regression. Third. Thousand Oaks CA: Sage. https://socialsciences.mcmaster.ca/jfox/Books/Companion/.
Gehlenborg, Nils. 2019. UpSetR: A More Scalable Alternative to Venn and Euler Diagrams for Visualizing Intersecting Sets. https://CRAN.R-project.org/package=UpSetR.
Grolemund, Garrett, and Hadley Wickham. 2011. “Dates and Times Made Easy with lubridate.” Journal of Statistical Software 40 (3): 1–25. http://www.jstatsoft.org/v40/i03/.
Hafen, Ryan, and Continuum Analytics, Inc. 2020. rbokeh: R Interface for Bokeh. https://CRAN.R-project.org/package=rbokeh.
Harrell Jr, Frank E, with contributions from Charles Dupont, and many others. 2020. Hmisc: Harrell Miscellaneous. https://CRAN.R-project.org/package=Hmisc.
Kovalchik, Stephanie. 2017. RISmed: Download Content from NCBI Databases. https://CRAN.R-project.org/package=RISmed.
Kunst, Joshua. 2019. highcharter: A Wrapper for the ’Highcharts’ Library. https://CRAN.R-project.org/package=highcharter.
Kuznetsova, Alexandra, Per B. Brockhoff, and Rune H. B. Christensen. 2017. “lmerTest Package: Tests in Linear Mixed Effects Models.” Journal of Statistical Software 82 (13): 1–26. https://doi.org/10.18637/jss.v082.i13.
Lander, Jared P. 2018. coefplot: Plots Coefficients from Fitted Models. https://CRAN.R-project.org/package=coefplot.
Muschelli, John. 2019. rscopus: Scopus Database ’API’ Interface. https://CRAN.R-project.org/package=rscopus.
R Core Team. 2020. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Ram, Karthik. 2017. rAltmetric: Retrieves Altmerics Data for Any Published Paper from ’Altmetric.com’. https://CRAN.R-project.org/package=rAltmetric.
Robinson, David, and Alex Hayes. 2020. broom: Convert Statistical Analysis Objects into Tidy Tibbles. https://CRAN.R-project.org/package=broom.
van der Loo, M. P. J. 2014. “The Stringdist Package for Approximate String Matching.” The R Journal 6: 111–22. https://CRAN.R-project.org/package=stringdist.
Wickham, Hadley. 2007. “Reshaping Data with the reshape Package.” Journal of Statistical Software 21 (12): 1–20. http://www.jstatsoft.org/v21/i12/.
———. 2016. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org.
———. 2019a. httr: Tools for Working with URLs and HTTP. https://CRAN.R-project.org/package=httr.
———. 2019b. stringr: Simple, Consistent Wrappers for Common String Operations. https://CRAN.R-project.org/package=stringr.
———. 2020. forcats: Tools for Working with Categorical Variables (Factors). https://CRAN.R-project.org/package=forcats.
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.
Wickham, Hadley, Romain François, Lionel Henry, and Kirill Müller. 2020. dplyr: A Grammar of Data Manipulation. https://CRAN.R-project.org/package=dplyr.
Wickham, Hadley, Jim Hester, and Winston Chang. 2020. devtools: Tools to Make Developing R Packages Easier. https://CRAN.R-project.org/package=devtools.
Wickham, Hadley, and Evan Miller. 2020. haven: Import and Export ’SPSS’, ’Stata’ and ’SAS’ Files. https://CRAN.R-project.org/package=haven.
Wilke, Claus O. 2019. cowplot: Streamlined Plot Theme and Plot Annotations for ’Ggplot2’. https://CRAN.R-project.org/package=cowplot.
Xie, Yihui. 2014. “Knitr: A Comprehensive Tool for Reproducible Research in R.” In Implementing Reproducible Computational Research, edited by Victoria Stodden, Friedrich Leisch, and Roger D. Peng. Chapman; Hall/CRC. http://www.crcpress.com/product/isbn/9781466561595.
Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2018. R Markdown: The Definitive Guide. Boca Raton, Florida: Chapman; Hall/CRC. https://bookdown.org/yihui/rmarkdown.
Xie, Yihui, Joe Cheng, and Xianying Tan. 2020. DT: A Wrapper of the JavaScript Library ’DataTables’. https://CRAN.R-project.org/package=DT.
Zeileis, Achim, and Gabor Grothendieck. 2005. “zoo: S3 Infrastructure for Regular and Irregular Time Series.” Journal of Statistical Software 14 (6): 1–27. https://doi.org/10.18637/jss.v014.i06.

References

Corrections

If you see mistakes or want to suggest changes, please create an issue on the source repository.

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/rubenarslan/rubenarslan.github.io, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".

© Copyright 2018-2023 Ruben Arslan. Privacy Policy.