Thread by @minebocek

I am *overjoyed* to announce that our newest @OpenIntroOrg book "Introduction to Modern Statistics" (co-authored with the fantastic @jo_hardin47) is out!

🔗 openintro.org/book/ims/online

Read the 🧵 for more!

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#statsed #datascied #rstats #openeducation #OERR

The book is also available in PDF (for free) and in paperback (for $20). You can find out more about these formats and the supplementary materials that come with the book at openintro.org/book/ims.

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Some highlights of the book that are near and dear to our hearts:

💻 Focus on computational methods for statistical inference
🔗 Clear linking of computational and mathematical models
📈 Early introduction to multivariable modeling
✅ Emphasis on multivariable thinking
...

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Hard to fit it all in a tweet so we wrote about our motivation and implementation of how we brought it all together on the @OpenIntroOrg blog at openintro.org/blog/article/2…!

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The book is comprised of 27 chapters organized into 6 parts:

1️⃣ Intro to data
2️⃣ Exploratory data analysis
3️⃣ Regression modeling
4️⃣ Foundations of inference
5️⃣ Statistical inference
6️⃣ Inferential modeling
✨ + each part features an applied case study on a novel dataset!

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Each new computational method is presented with diagrams that help the reader visualize what's going on under the hood when we say "resample", "bootstrap", etc.

Huge thanks to Will Gray for help with creating these conceptual diagrams!

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And while we know that there is still work to do, we’ve added the first pass of alternative text to the diagrams in the HTML version of the text and we're currently working on accompanying all figures in the book with alt text.

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The narrative of the book is software agnostic, however, each part of the book is also accompanied by

👩🏿‍💻 interactive tutorials built with learnr and
📄 computational labs (detailed, step-by-step case studies)

All feature the use of #rstats, particularly #tidyverse + infer

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All 32 #rstats tutorials are at openintrostat.github.io/ims-tutorials/ and they're also integrated and linked throughout the text!

Huge thanks to
- @BaumerBen and Andrew Bray for help w/ original vision and content
- @yabellini, @cantoflor_87, @data_datum for implementation in learnr

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All 10 #rstats labs are at openintrostat.github.io/oilabs-tidy and also and integrated linked throughout the text!

Huge thanks to @benjamin_feder for help with a refresh of these labs!

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In addition to worked examples and guided practice questions, the book also features 339 end-of-chapter exercises!

Answers to odd-numbered exercises are provided at end of the text and full solutions available for verified instructors at openintro.org/teachers/.

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We thank David Diez and Christopher Barr for their work on Introduction to Statistics with Randomization and Simulation. Introduction to Modern Statistics is a reimagining of this original text and is inspired by all @OpenIntroOrg textbooks.

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The book is written fully with #rstats in @rstudio using bookdown. Full source code can be found at github.com/openintrostat/… (issues and PRs welcome 😉)

Huge thanks to @rundel for help with the conversion from LaTeX to Rmd and @chrisderv for help with multi-output Rmd!

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And we think the book looks pretty good, and we have @iowio and Meenal Patel to thank for their design vision! See more of their work at muge.fr and meenalpatelstudio.com!

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A huge majority of the datasets used in the book are in the #rstats openintro package, which has been updated on CRAN last week!

openintrostat.github.io/openintro

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Special thanks to David Diez who leads the @OpenIntroOrg project! We were in the same class in grad school @ucla. My involvement started when he asked if I would write exercises for OpenIntro Statistics. And I was like "open what?" So proud of how far the project has come!

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Working w/ @jo_hardin47 has been one of the few highlights of the past year. 💙 🐢

I couldn't have asked for a better educator and a more fun collaborator to work with! Can't wait to work on the 2nd edition 🤣

Read our labour of love at openintro.org/book/ims/online!

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Finally, thanks to @rundel for giving me the space to work on this over the pandemic. I know you hated me being glued to the computer all night, but I hope you enjoy the result (and teach out of it 🤪). And I'm sorry to disappoint my 4 yo for lack of dinos in the book 🦖

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Aargh, how could I forget?!

A MILLION BILLION ZILLION thanks to @mtstatistics, Melinda Yager, and Randy Prium for their incredibly valuable feedback and review of the book!

And perfect timing! Physical copy of the book arrived in the mail today too!