624 search results for "Knitr"

R tutorials

December 10, 2015
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image02

There are tons of resources to help you learn the different aspects of R, and as a beginner this can be overwhelming. It’s also a dynamic language and rapidly changing, so it’s important to keep up with the latest tools and technologies. That’s why R-bloggers and DataCamp have worked together to bring you a learning path for R. Each section...

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svglite 1.0.0

December 10, 2015
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svglite 1.0.0

I’m pleased to announced a new package for producing SVGs from R: svglite. This package is a fork of Matthieu Decorde RSvgDevice and wouldn’t be possible without his hard work. I’d also like to thank David Gohel who wrote the gdtools package: it solves all the hardest problems associated with making good SVGs from R.

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Wald’s graphical sequential inspection procedure

December 10, 2015
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Wald’s graphical sequential inspection procedure

by John Mount Ph.D. Data Scientist at Win-Vector LLC Our most recent article was a dynamic programming solution to the A/B test problem. Explicitly solving such dynamic programs is a long and tedious process, so you are well served by finding and introducing clever invariants to track (something better than just raw win-rates). This clever idea, called "sequential analysis",...

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Exploring Recursive CTEs with sqldf

December 1, 2015
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Exploring Recursive CTEs with sqldf

by Bob Horton Sr. Data Scientist at Microsoft Common table expressions (CTEs, or “WITH clauses”) are a syntactic feature in SQL that makes it easier to write and use subqueries. They act as views or temporary tables that are only available during the lifetime of a single query. A more sophisticated feature is the “recursive CTE”, which is a...

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The R-Podcast Episode 14: Tips and Tricks for using R-Markdown

November 18, 2015
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The R-Podcast is back up and running! In this episode I discuss some useful resources and helpful tips/extensions that have greatly enhanced my work flow in creating reproducible analysis documents via R-Markdown. I also highlight some exciting new endeavors in the R community as well as provide my take on two key events that further

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Creating nice tables using R Markdown

November 17, 2015
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Creating nice tables using R Markdown

One of the neat tools available via a variety of packages in R is the creation of beautiful tables using data frames stored in R. In what follows, I’ll discuss these different options using data on departing flights from Seattle … Continue reading →

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Interactive Data Science with R in Apache Zeppelin Notebook

November 16, 2015
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Interactive Data Science with R in Apache Zeppelin Notebook

Introduction The objective of this blog post is to help you get started with Apache Zeppelin notebook for your R data science requirements. Zeppelin is a web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with Scala(with Apache Spark), Python(with Apache Spark), SparkSQL, Hive, Markdown, Shell and more.…

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Everything you need to make R Commander locally (packages, dependencies, zip files)

October 22, 2015
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Everything you need to make R Commander locally (packages, dependencies, zip files)

I’ve been installing R Commander on laptops for our students to use in tutorials. It’s tedious to put each one online with my login, download it all, then disable the internet (so they don’t send lewd e-mails to the vice-chancellor … Continue reading →

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Understanding credible intervals (using baseball statistics)

October 20, 2015
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Understanding credible intervals (using baseball statistics)

Previously in this series Understanding the beta distribution (using baseball statistics) Understanding empirical Bayes estimation (using baseball statistics) In my last post, I explained the method of empirical Bayes estimation, a way to calculate useful proportions out of many pairs of success/total counts (e.g. 0/1, 3/10, 235/1000). I used the example of estimating baseball batting averages based...

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New features in genomation package

October 15, 2015
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New features in genomation package

Extending genomation to work with paired-end BAM filesExtending genomation to work with paired-end BAM filesAccelerate functions responsible for reading genomic filesParallelizing data processing in ScoreMatrixListArithmetic, indicator and logic operations as well as subsetting work on ScoreMatrix objectsImprovements and new arguments in visualization functionsFaster...

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