Download Dynamic Documents with R and knitr by Yihui Xie PDF

April 5, 2017 | Mathematicsematical Statistics | By admin | 0 Comments

By Yihui Xie

Provides an authoritative and entire advisor to the knitr package deal in R
Emphasizes reproducible research
Covers either easy examples and whole functions, from homework to web content to books
Describes a variety of recommendations, worthy tips, and solutions
Explains the inner layout and extensions of the knitr package
Offers demos and different information regarding the package deal at the author's website

Quickly and simply Write Dynamic Documents

Suitable for either rookies and complex clients, Dynamic records with R and knitr, moment variation makes writing statistical stories more uncomplicated by means of integrating computing at once with reporting. reviews variety from homework, tasks, checks, books, blogs, and web content to nearly any files with regards to statistical pictures, computing, and knowledge research. The booklet covers easy functions for rookies whereas guiding energy clients in realizing the extensibility of the knitr package.

New to the second one Edition
A new bankruptcy that introduces R Markdown v2
Changes that replicate advancements within the knitr package
New sections on producing tables, defining customized printing equipment for gadgets in code chunks, the C/Fortran engines, the Stan engine, working engines in a power consultation, and beginning a neighborhood server to serve dynamic documents
Boost Your productiveness in Statistical file Writing and Make Your clinical Computing with R Reproducible

Like its hugely praised predecessor, this version exhibits you the way to enhance your potency in writing experiences. The ebook takes you from software output to publication-quality stories, aiding you fine-tune each element of your file.

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Additional info for Dynamic Documents with R and knitr

Sample text

9324088. 2: A minimal example in LATEX with an R code chunk, a plot, and numeric output (regression coefficient). 1 A First Look 15 --title: A Minimal Example --We examine the relationship between speed and stopping distance using a linear regression model: $Y = \beta_0 + \beta_1 x + \epsilon$. 8) plot(cars, pch = 20, col = 'darkgray') fit <- lm(dist ~ speed, data = cars) abline(fit, lwd = 2) ``` The slope of a simple linear regression is `r coef(fit)[2]`. 4. changed, we do not need to redo the report from the ground up, and the output will be updated accordingly if we update the data and recompile the report.

Besides, it can also base64 encode images and render LATEX math expressions (through the MathJax library) in the HTML output. , it does not depend on external images since they have been embedded in the page; the latter feature is especially useful for statisticians when they want to write math in a Web page. 2: Edit an Rmd document in RStudio: there is also auto-completion for chunk option values; the button Knit HTML supports one-click generation of an HTML page from Rmd. 22 Dynamic Documents with R and knitr 23 Editors mastered in five minutes.

1 50 obs. of 2 variables: 4 4 7 7 8 9 10 10 10 11 ... 2 10 4 22 16 10 18 26 34 17 ... 1 is a full example of R code embedded in LATEX; we call this kind of documents Rnw documents hereafter because their filename extension is Rnw by convention. tex. For those who are familiar with LATEX, you can compile this document to PDF via pdflatex. 2 is the PDF document compiled from the Rnw document. What is essential here is how we embedded R code in LATEX. In an Rnw document, <<>>= marks the beginning of code chunks, and @ terminates a code chunk (this description is not rigorous but is often easier A First Look 13 \documentclass{article} \begin{document} \title{A Minimal Example} \author{Yihui Xie} \maketitle We examine the relationship between speed and stopping distance using a linear regression model: $Y = \beta_0 + \beta_1 x + \epsilon$.

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