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210123 ||| eng |
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4 |
|a QA276.45.R3
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| 100 |
1 |
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|a Grolemund, Garrett
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| 245 |
0 |
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|a Reproducible research and reports with R Markdown
|b how to streamline your reporting workflow in R
|c with Garrett Grolemund
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| 260 |
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|a [Place of publication not identified]
|b O'Reilly
|c 2016
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| 300 |
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|a 1 streaming video file (2 hr., 9 min., 28 sec.)
|b digital, sound, color
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| 653 |
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|a R (Computer program language) / fast / (OCoLC)fst01086207
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| 653 |
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|a R (Langage de programmation)
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| 653 |
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|a R (Computer program language) / http://id.loc.gov/authorities/subjects/sh2002004407
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 500 |
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|a Title from title screen (viewed May 18, 2016)
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| 856 |
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|u https://learning.oreilly.com/videos/~/9781491959534/?ar
|x Verlag
|3 Volltext
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|a 000
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| 520 |
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|a "R Markdown does three main things pretty close to magic. First, it lets you make a completely reproducible, parameter-set and automatable R report. Second, it lets you export that report into a multitude of formats (HTML, Word, .js slide show, interactive web app, etc.). Third, it does the first two things really fast. Wishing for a way to document your code so it still makes sense to you or somebody else six months down the road? Presto! R Markdown does that. Hoping for a button you could click to reproduce your entire analysis with a new data set or parameter? Shazaam! R Markdown does that. Sick of having to copy and paste your results? Poof! R Markdown takes the pain away. If you're an analyst, scientist, actuary, statistician, or a programmer familiar with R, you should add this package to your bag of tricks."--Resource description page
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