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bookdown
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Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson
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Mar 7, 2020 - TeX
Analysis of single cell RNA-seq data course
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May 5, 2020 - TeX
r
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knitr
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econometrics
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linear-models
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introduction-to-r
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datacamp-exercises
companion-book
applied-economics
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Exercise solutions to "R for Data Science"
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Aug 19, 2020 - R
Repository for 'Data Science in Education Using R' by Emily A. Bovee, Ryan A. Estrellado, Jesse Mostipak, Joshua M. Rosenberg, and Isabella C. Velásquez to be published by Routledge in 2020
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Aug 24, 2020 - HTML
rOpenSci Packages: Development, Maintenance, and Peer Review
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Sep 6, 2020 - CSS
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All R codes for the guide "Doing Meta-Analysis in R"
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Jul 29, 2020 - TeX
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Dec 4, 2018 - HTML
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Hands-On Data Visualization: Interactive Storytelling from Spreadsheets to Code is an open-access book-in-progress, under contract with O'Reilly Media.
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Sep 4, 2020 - TeX
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Jun 28, 2020 - TeX
an R package for converting Chineses characters into pinyin
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Jun 10, 2020 - R
金融市场与体育彩券市场 --- 数据分析与量化交易
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Oct 23, 2018 - HTML
(实验性项目)上海交通大学学位论文 R Markdown (bookdown) 模板
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Jun 7, 2018 - TeX
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Sep 6, 2020 - PostScript
Flexible Imputation of Missing Data - bookdown source
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Jan 30, 2020 - TeX
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I'm happy to announce that I'll be writing the second edition of Data Science at the Command Line (O'Reilly, 2014). This issue explains why I think a second edition is needed, lists what changes I plan to make, and presents a tentative outline. Finally, I have a few words about the process and giving feedback.
Why a second edition?
While the command line as a technology and as a way of w