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BioC 2016 Conference Overview and Few Ways of Downloading TCGA Data
(This article was first published on http://r-addict.com, and kindly contributed to R-bloggers) Few weeks ago I have a great pleasure of attending BioC 2016: Where Software and Biology Connect...
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Return of the NEISS Data
(This article was first published on data science ish, and kindly contributed to R-bloggers) Almost six months ago (!) I wrote a blog post about the NEISS data set, a sample of accidents reported to...
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Monte Carlo Analysis of Manning’s Equation: A Shiny App
(This article was first published on AdventuresInData, and kindly contributed to R-bloggers) Monte Carlo analysis is a great way to explore the impact of input variable uncertainty on the results of...
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Networks, mazes, and R (Rmaze)
(This article was first published on Fun with R, and kindly contributed to R-bloggers) Like many people who work with networks (aka graphs), I like to emphasize their usability and applicability to...
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Discover R and RStudio at JSM 2016 Chicago!
(This article was first published on RStudio Blog, and kindly contributed to R-bloggers) The JSM conference in Chicago, July 31 thru August 4, 2016, is one of the largest to be found on statistics,...
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Principal Component Analysis Cluster Plots with Plotly
(This article was first published on R – Modern Data, and kindly contributed to R-bloggers) The Problem When clustering data using principal component analysis, it is often of interest to visually...
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Sustainability through Energy Load Shaping for Buildings using R
(This article was first published on Revolutions, and kindly contributed to R-bloggers) by Mike Wise, Data Scientist / Solution Architect – MCS Incubation Services Background Building energy...
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EARL 2016 London Workshops Selling Fast
(This article was first published on Mango Solutions » R Blog, and kindly contributed to R-bloggers) A Great Choice of Workshops With less than two months to go until EARL2016 in London, the Workshops...
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Introducing the p-hacker app: Train your expert p-hacking skills
(This article was first published on R – Nicebread, and kindly contributed to R-bloggers) [This is a guest post by Ned Bicare, PhD] /*1051-start*/...
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The R Packages of UseR! 2016
(This article was first published on Revolutions, and kindly contributed to R-bloggers) by Joseph Rickert It is always a delight to discover a new and useful R package, and it is especially nice when...
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Visualizing obesity across United States by using data from Wikipedia
(This article was first published on DataScience+, and kindly contributed to R-bloggers) In this post I will show how to collect from a webpage and to analyze or visualize in R. For this task I will...
View ArticleCalculate your nutrients with my new package: NutrientData
(This article was first published on Renglish – 56north | Skræddersyet dataanalyse, and kindly contributed to R-bloggers) I have created a new package: NutrientData This package contains data sets...
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Open to Non-Conference Attendees – R Workshops at EARL 2016
(This article was first published on Mango Solutions » R Blog, and kindly contributed to R-bloggers) EARL is a Conference for users and developers of the open source R programming language. The...
View ArticleManhattanly: R package for Interactive Manhattan Plots
(This article was first published on R – Modern Data, and kindly contributed to R-bloggers) Introduction The new R package, manhattanly, creates interactive manhattan plots using the plotly.js engine....
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R/Shiny for clinical trials: simple randomization tables
(This article was first published on R – Tales of R, and kindly contributed to R-bloggers) One of the things I most like from R + Shiny is that it enables me to serve the power and flexibility of R in...
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Curated list of R tutorials for Data Science
(This article was first published on R Language – the data science blog, and kindly contributed to R-bloggers) Here is topic wise list of R tutorials for Data Science, Time Series Analysis, Natural...
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Covcalc: Shiny App for Calculating Coverage Depth or Read Counts for...
(This article was first published on Getting Genetics Done, and kindly contributed to R-bloggers) How many reads do I need? What’s my sequencing depth? These are common questions I get all the time....
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heatmaply: interactive heat maps (with R)
(This article was first published on R – R-statistics blog, and kindly contributed to R-bloggers) I am pleased to announce heatmaply, my new R package for generating interactive heat maps, based on...
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Integrating R with Apache Hadoop
(This article was first published on DataScience+, and kindly contributed to R-bloggers) Integrating R to work on Hadoop is to address the requirement to scale R program to work with petabyte scale...
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Some Impressions from R Finance 2016
(This article was first published on Revolutions, and kindly contributed to R-bloggers) by Joseph Rickert R / Finance 2016 lived up to expectations and provided the quality networking and learning...
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