Tidy

R for Data Science Solutions

by Jeffrey B. Arnold

2018-11-24

This contains the solutions to the exercises in the book, R for Data Science, by Garrett Grolemund and Hadley Wickham. […] This contains solutions to the exercise in R for Data Science, byn Hadley Wickham and Garret Grolemund (Wickham and Grolemund 2017). The website for that book is r4ds.had.co.nz, and a physical copy is published by O’Reilly and available from amazon. This work is licensed under a Creative Commons Attribution 4.0 International License Wickham, Hadley, and Garrett Grolemund. 2017. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 1st ed. O’Reilly … Read more →

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Text Mining with R

by Julia Silge and David Robinson

2018-09-23
Text Mining with R

A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools […] This is the website for Text Mining with R! Visit the GitHub repository for this site, find the book at O’Reilly, or buy it on Amazon. This work by Julia Silge and David Robinson is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States … Read more →

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Tidy Portfoliomanagement in R

by Sebastian Stöckl

2018-09-21

First try on a book on tidy Portfolio Managment in R. […] This book should accompany my lectures “Research Methods”, “Quantitative Analysis”, “Portoliomanagement and Financial Analysis” and (to a smaller degree) “Empirical Methods in Finance”. In the past years I have been a heavy promoter of the Rmetrics tools for my lectures and research. However, in the last year the development of the project has stagnated due to the tragic death of its founder Prof. Dr. Diethelm Würtz. It therefore happened several times that code from past semesters and lectures has stopped working and no more support … Read more →

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Spreadsheet Munging Strategies

by Duncan Garmonsway

2018-12-05*

Spreadsheet Munging Strategies […] This is a work-in-progress book about getting data out of spreadsheets, no matter how peculiar. The book is designed primarily for R users who have to extract data from spreadsheets and who are already familiar with the tidyverse. It has a cookbook structure, and can be used as a reference, but readers who begin in the middle might have to work backwards from time to time. R packages that feature heavily are Tidyxl and unpivotr are much more complicated than readxl, and that’s the point. Tidyxl and unpivotr give you more power and complexity when you need … Read more →

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