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You're reading from  The Statistics and Machine Learning with R Workshop

Product typeBook
Published inOct 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781803240305
Edition1st Edition
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Author (1)
Liu Peng
Liu Peng
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Liu Peng

Peng Liu is an Assistant Professor of Quantitative Finance (Practice) at Singapore Management University and an adjunct researcher at the National University of Singapore. He holds a Ph.D. in statistics from the National University of Singapore and has ten years of working experience as a data scientist across the banking, technology, and hospitality industries.
Read more about Liu Peng

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Fundamentals of R Markdown

R Markdown is a formatting language that can help you effectively and dynamically reveal insights from the data and generate reports in the form of a PDF, an HTML file, or a web application. It allows you to tidy up your analyses via various forms of graphs and tables covered earlier in this book, and present them in a consistent, neat, and transparent manner that facilitates easy reproduction by another analyst. Either in academia or industry, demonstrating reproducibility in your analysis is an essential quality of your work. When others can easily reproduce and understand what you did in your analysis, it makes communication much easier and your work more trustworthy. Since all outputs are code-based, the ability to easily reproduce your work also makes it convenient to fine-tune the analysis when you present your initial work and come back with further modifications to be done, a common iterative process in real-life data analysis.

Using R Markdown...

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The Statistics and Machine Learning with R Workshop
Published in: Oct 2023Publisher: PacktISBN-13: 9781803240305

Author (1)

author image
Liu Peng

Peng Liu is an Assistant Professor of Quantitative Finance (Practice) at Singapore Management University and an adjunct researcher at the National University of Singapore. He holds a Ph.D. in statistics from the National University of Singapore and has ten years of working experience as a data scientist across the banking, technology, and hospitality industries.
Read more about Liu Peng