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Solutions Manual for ‘Computational Probability and Statistics’

References

Allaire, JJ, Yihui Xie, Christophe Dervieux, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, et al. 2023. Rmarkdown: Dynamic Documents for r.
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Çetinkaya-Rundel, Mine, David Diez, Andrew Bray, Albert Y. Kim, Ben Baumer, Chester Ismay, Nick Paterno, and Christopher Barr. 2022. Openintro: Data Sets and Supplemental Functions from OpenIntro Textbooks and Labs.
James, Gareth, Daniela Witten, Trevor Hastie, and Rob Tibshirani. 2021. ISLR: Data for an Introduction to Statistical Learning with Applications in r. https://www.statlearning.com.
Kaplan, Daniel T., Randall Pruim, and Nicholas J. Horton. 2022. mosaicCalc: R-Language Based Calculus Operations for Teaching. https://github.com/ProjectMOSAIC/mosaicCalc.
Kerns, Jay. 2010. Introductory to Probability and Statistics with r. 1st ed. http://ipsur.r-forge.r-project.org/book/download/IPSUR.pdf.
Meyer, David, Achim Zeileis, and Kurt Hornik. 2023. Vcd: Visualizing Categorical Data.
Pruim, Randall, Daniel T. Kaplan, and Nicholas J. Horton. 2022. Mosaic: Project MOSAIC Statistics and Mathematics Teaching Utilities.
Ripley, Brian. 2023. MASS: Support Functions and Datasets for Venables and Ripley’s MASS. http://www.stats.ox.ac.uk/pub/MASS4/.
Robinson, David, Alex Hayes, and Simon Couch. 2023. Broom: Convert Statistical Objects into Tidy Tibbles.
Wickham, Hadley. 2023. Tidyverse: Easily Install and Load the Tidyverse.
Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, and Dewey Dunnington. 2023. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics.
Xie, Yihui. 2023. Knitr: A General-Purpose Package for Dynamic Report Generation in r. https://yihui.org/knitr/.
Xie, Yihui, Joe Cheng, and Xianying Tan. 2023. DT: A Wrapper of the JavaScript Library DataTables. https://github.com/rstudio/DT.
Zhu, Hao. 2021. kableExtra: Construct Complex Table with Kable and Pipe Syntax.