642 search results for "knitr"

Commonmark: Super Fast Markdown Rendering in R

February 2, 2016
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Commonmark: Super Fast Markdown Rendering in R

A few months ago I first announced the commonmark R package. Since then there have been a few more releases… time for an update! What is CommonMark? Markdown is used in many places these days, however the original spec actually leaves some ambiguity which makes it difficult to optimize and leads to inconsistencies...

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R Tagosphere!

January 31, 2016
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R Tagosphere!

This post explores the inter-relationships of StackOverflow Tags for R-related questions. So I grabbed all the questions tagged with “r”, took the other tags in each question and made some network charts that show how often each tag is seen with the other tags. The point is to see the empirical relationships …

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R trends in 2015 (based on cranlogs)

January 20, 2016
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It is always fun to look back and reflect on the past year. Inspired by Christoph Safferling's post on top packages from published in 2015, I decided to have my own go at the top R trends of 2015. Contrary to Safferling's post I'll try to also (1) look at packages from previous years that hit the big...

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Formatting table output in R

January 19, 2016
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Formatting table output in R

Formatting data for output in a table can be a bit of a pain in R. The package formattable by Kun Ren and Kenton Russell provides some intuitive functions to create good looking tables for the R console or HTML quickly. The package home page demonstrates the functions with illustrative examples nicely.There are a few points I...

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stplanr 0.1.1

January 17, 2016
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Version 0.1.1 of the package stplanr has been released on CRAN. This is a major update with many new functions and a new class definition, SpatialLinesNetwork, for route planning and network analysis using igraph. This short post, by myself and package co-author Richard Ellison describes how stplanr can be used for transport research with a few simple...

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In case you missed it: December 2015 roundup

January 15, 2016
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In case you missed them, here are some articles from December of particular interest to R users. A look back at accomplishments of the R Project and community in 2015. Segmented regression with the "segmented" package, applied to long-distance running records. Creating multi-tab reports in R with knitr and jQuery UI. New version 2.0 update to ggplot2 adds extensibility...

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50 years of Data Science – by David Donoho

January 5, 2016
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David Donoho published a fascinating paper based on a presentation at the Tukey Centennial workshop, Princeton NJ Sept 18 2015. You can download the full paper from here.  The paper got quite the attention on Hacker News, Data Science Central, Simply Stats, Xi’an’s blog, srown ion medium, and probably others. Share your thoughts in the … Continue reading...

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Some programming language theory in R

January 1, 2016
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Some programming language theory in R

Let’s take a break from statistics and data science to think a bit about programming language theory, and how the theory relates to the programming language used in the R analysis platform (the language is technically called “S”, but we are going to just call the whole analysis system “R”). Our reasoning is: if you … Continue reading...

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Creating multi-tab reports with R and jQuery UI

December 29, 2015
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Creating multi-tab reports with R and jQuery UI

by Matt Parker, Data Scientist at Microsoft One of the great advantages of R's openness is its extensibility. R's abundant packages are the most conspicuous example of that extensibility, and Revolution R Enterprise is a powerful example of how far it can stretch. But R is also part of an entire ecosystem of open tools that can be linked...

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Set up Sublime Text for light-weight all-in-one data science IDE

December 23, 2015
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Set up Sublime Text for light-weight all-in-one data science IDE

tl;dr Sublime Text is a powerful text editor. Here I introduce how to add custom REPL config for remote/local R, Python, Scala, Spark, Hive, you name it (this is only tested for OS X). The example below interprets local Python (top), R (middle) and Hive (bottom) code on remote. IDE for everything Good IDEs are everywhere. RStudio for R, Pycharm for...

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