Human rights -- Statistics -- Data processing
See also what's at your library, or elsewhere.
Broader terms:Narrower term:![[Info]](https://onlinebooks.library.upenn.edu/info.gif)
Making the Case: Investigating Large Scale Human Rights Violations Using Information Systems and Data Analysis (Washington: American Association for the Advancement of Science, c2000), ed. by Patrick Ball, Herbert F. Spirer, and Louise Spirer (PDF at hrdag.org)
Items below (if any) are from related and broader terms.
Filed under: Human rights -- Data processing -- Handbooks, manuals, etc.- Making the Case: Investigating Large Scale Human Rights Violations Using Information Systems and Data Analysis (Washington: American Association for the Advancement of Science, c2000), ed. by Patrick Ball, Herbert F. Spirer, and Louise Spirer (PDF at hrdag.org)
- Making the Case: Investigating Large Scale Human Rights Violations Using Information Systems and Data Analysis (Washington: American Association for the Advancement of Science, c2000), ed. by Patrick Ball, Herbert F. Spirer, and Louise Spirer (PDF at hrdag.org)
- Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (Creative Commons online edition, 2021), by Chester Ismay and Albert Young-Sun Kim (illustrated HTML with commentary at moderndive.com)
- An Introduction to R: Notes on R, A Programming Environment for Data Analysis and Graphics (electronic edition, 2008), by W. N. Venables, D. M. Smith, and R Development Core Team
- The R Inferno (2011), by Patrick Burns (PDF with commentary at burns-stat.com)
- Introduction to Data Science: Data Analysis and Prediction Algorithms With R (Creative Commons online edition, 2021), by Rafael A. Irizarry (illustrated HTML with commentary at github.uio)
- Journal of Statistical Software (1997-) (full serial archives)
- Computer Age Statistical Inference: Algorithms, Evidence and Data Science (c2016), by Bradley Efron and Trevor Hastie (PDF with commentary at Stanford)
- R Graphics Cookbook (second edition, 2024), by Winston Chang (illustrated HTML with commentary at r-graphics.org)
- Data Science: A First Introduction (Boca Raton: CRC Press, 2022), by Tiffany-Anne Timbers, Trevor Campbell, and Melissa Lee (illustrated HTML with commentary at datasciencebook.ca)
- Dynamics of the Vietnam War: A Quantitative Analysis and Predictive Computer Simulation (Columbus, OH: Ohio State University Press, c1974), by Jeffrey S. Milstein (PDF from Ohio State University Press)
- Practical Regression and Anova using R (final web version, 2002), by Julian James Faraway (PDF with commentary at r-project.org)
- Time Series Analysis and its Applications, With R Examples (authors' free electronic edition, similar to published fourth edition; 2016), by Robert H. Shumway and David S. Stoffer (PDF with commentary at Pitt)