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Titlebook: CRAN Recipes; DPLYR, Stringr, Lubr William Yarberry Book 2021 William Yarberry 2021 R.programming.CRAN.DPLYR.Stringr.Lubridate.RegEx.regula

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發(fā)表于 2025-3-21 18:16:16 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱CRAN Recipes
副標(biāo)題DPLYR, Stringr, Lubr
編輯William Yarberry
視頻videohttp://file.papertrans.cn/221/220551/220551.mp4
概述The first developer and analyst code cookbook on CRAN.Includes code and examples applicable to many disciplines.Written in everyday language with a minimum of complexity
圖書封面Titlebook: CRAN Recipes; DPLYR, Stringr, Lubr William Yarberry Book 2021 William Yarberry 2021 R.programming.CRAN.DPLYR.Stringr.Lubridate.RegEx.regula
描述.Want to use the power of R sooner rather than later? Don’t have time to plow through wordy texts and online manuals? Use this book for quick, simple code to get your projects up and running. It includes code and examples applicable to many disciplines.?Written in everyday language with a minimum of complexity, each chapter provides the building blocks you need to fit R’s astounding capabilities to your analytics, reporting, and visualization needs.??..CRAN Recipes. recognizes how needless jargon and complexity get in your way. Busy professionals need simple examples and intuitive descriptions; side trips and meandering philosophical discussions are left for other books.??..Here R scripts are condensed, to the extent possible, to copy-paste-run format. Chapters and examples are structured to purpose rather than particular functions (e.g., “dirty data cleanup” rather than the R package name?“janitor”).?Everyday language eliminatesthe need to know functions/packages in advance.?..What You Will Learn.Carry out input/output;visualizations; data munging; manipulations at the group level; and quickdata exploration.Handle forecasting(multivariate, time series, logistic regression, Faceboo
出版日期Book 2021
關(guān)鍵詞R; programming; CRAN; DPLYR; Stringr; Lubridate; RegEx; regular expressions; statistics; statistical; data sci
版次1
doihttps://doi.org/10.1007/978-1-4842-6876-6
isbn_softcover978-1-4842-6875-9
isbn_ebook978-1-4842-6876-6
copyrightWilliam Yarberry 2021
The information of publication is updating

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發(fā)表于 2025-3-22 00:01:23 | 只看該作者
板凳
發(fā)表于 2025-3-22 02:36:09 | 只看該作者
Some Simple Patterns, 6-1 is from an excellent Loyola Marymount University website. In R, the regular expression will be enclosed in quotes and used in one of the seven functions listed in Chapter ., “The Magnificent Seven.”
地板
發(fā)表于 2025-3-22 06:59:24 | 只看該作者
Elements of Regular Expressions,ase of the plus sign, its special meaning is “additional characters like one just to the left of the + sign.” If you want to use any of these reserved characters as a literal in a regex, you need to escape them with a backslash. If you want to match 1+1=2, the correct regex is 1\+1=2. Otherwise, the
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發(fā)表于 2025-3-22 11:42:55 | 只看該作者
Unicode,s less commonly used. Other representations of characters depend on the standard selected, which in turn may depend on the locale. As an example, consider the trademark sign. In MS Word and other MS Office applications, Ctrl-Alt-T or Alt8482 will create the trademark sign: ?. In Unicode, it is u2122
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發(fā)表于 2025-3-22 20:44:28 | 只看該作者
RegEx Summary,actions. However, the scope of regex pattern matching exceeds traditional R logic. Even knowing just a few regex examples will speed your code development and possibly reduce execution time of your script.
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發(fā)表于 2025-3-23 05:40:28 | 只看該作者
Validation of Data,lysis. Several cleanup packages have been developed, including janitor and validate. Figure 19-1, from the validate package, shows a convenient graphic of three mtcars variables. It meets the data science trifecta: simple, quick, and handy.
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