643 search results for "Knitr"

Just another way to make a R flavored blog

August 6, 2015
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Just another way to make a R flavored blog

This post is in active development! image source This usually is "echo=FALSE" rm(list = ls()) library("printr") knitr::opts_knit$set(root.dir = normalizePath("..")) Considerations Use h2 ## in R files to spin, because h1 is reserved for title post. At the begin of R script write a chunk of R code loading the print package This post have some considerations to have when write a post via: r...

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Just another way to make a R flavored blog

August 6, 2015
By
Just another way to make a R flavored blog

This post is in active development! image source This usually is "echo=FALSE" rm(list = ls()) library("printr") knitr::opts_knit$set(root.dir = normalizePath("..")) Considerations Use h2 ## in R files to spin, because h1 is reserved for title post. At the begin of R script write a chunk of R code loading the print package This post have some considerations to have when write a post via: r...

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Rendering LaTeX Math Equations in GitHub Markdown

July 31, 2015
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Rendering LaTeX Math Equations in GitHub Markdown

The Problem: GitHub README.md won't render LaTeX I have many times wondered about getting LaTeX math to render in a README file on GitHub. Apparently, many others ( 1, 2, 3 ), have asked the same question. The common answers are: It cannot (and in some cases, shouldn't) be done. GitHub parsing is done by

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Rendering LaTeX Math Equations in GitHub Markdown

July 31, 2015
By
Rendering LaTeX Math Equations in GitHub Markdown

The Problem: GitHub README.md won't render LaTeX I have many times wondered about getting LaTeX math to render in a README file on GitHub. Apparently, many others ( 1, 2, 3 ), have asked the same question. The common answers are: It cannot (and in some cases, shouldn't) be done. GitHub parsing is done by

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Goals for the New R Consortium

July 28, 2015
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Goals for the New R Consortium

by Bob Muenchen The recently-created R Consortium consists of companies that are deeply involved in R such as RStudio, Microsoft/Revolution Analytics, Tibco, and others. The Consortium’s goals include advancing R’s worldwide promotion and support, encouraging user adoption, and improving documentation … Continue reading →

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Introducing the cymruservices R Package

July 22, 2015
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The R world has come a long way since Jay & I wrote Data-Driven Security. We had to make a conscious decision to stick with R 2.14.0 (R is at version 3.2.1 now) and packages such as knitr and dplyr either didn’t exist or were in their infancy. In Chapter 4, we showed some very basic exploratory data analysis and...

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A Tutorial on Loops in R – Usage and Alternatives

July 21, 2015
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A Tutorial on Loops in R – Usage and Alternatives

Introduction In this easy-to-follow R tutorial on loops we will examine the constructs available in R for looping, and how to make use of R’s vectorization feature to perform your looping tasks more efficiently. We will present a few looping examples; then criticize and deprecate these in favor of the most popular vectorized alternatives (amongst The post

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Teaching a short topic to beginner R users

Teaching a short topic to beginner R users

A couple weeks ago I was given the opportunity to teach a 1 hr 30 min slot of an introduction to R course. In the past, I've taught lectures for similar courses, and I ended up asking myself what would be the best short topic to teach and how to teach ...

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R-devel in parallel to regular R installation

July 1, 2015
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R-devel in parallel to regular R installation

Unfortunately, you need both: R-devel (development version of R) if you want to submit your packages to CRAN, and regular R for your research (you don’t want the unstable release for that). Fortunately, installing R-devel in parallel is less trouble than one might think. Say, we want to install R-devel into a directory called ~/R-devel/,

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R-devel in parallel to regular R installation

July 1, 2015
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R-devel in parallel to regular R installation

Unfortunately, you need both: R-devel (development version of R) if you want to submit your packages to CRAN, and regular R for your research (you don’t want the unstable release for that). Fortunately, installing R-devel in parallel is less trouble than one might think. Say, we want to install R-devel into a directory called ~/R-devel/,

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