September 2016

Introducing the R Data Science Livestream

September 22, 2016 | Jared Knowles

Have you ever watched a livestream? Have you ever wondered what the actual minute to minute of doing data science looks like? Do you wonder if other R users have the same frustrations as you? If yes -- then read on!I'm off on a new professional adventure where I ... [Read more...]

R Markdown: How to number and reference tables

September 22, 2016 | Norbert Köhler

R Markdown is a great tool to make research results reproducible. However, in scientific research papers or reports, tables and figures usually need to be numbered and referenced. Unfortunately, R Markdown has no “native” method to number and reference table and figure captions. The recently published bookdown package makes it ... [Read more...]

Paired t-test in R Exercises

September 21, 2016 | Sammy Ngugi

The paired samples t test is used to check if there are any differences in the mean of the same sample at two different time points. For example a medical researcher collects data on the same patients before and after a therapy. A paired t test will show if the ... [Read more...]

Stop trying to jump to the sexy stuff first

September 21, 2016 | Sharp Sight Labs

A few weeks ago, an acquaintance told me that he was interested in getting started with machine learning. He’s a web developer who primarily works in Ruby and Python, but also has a small amount of experience with R. Day-to-day, his work is run-of-the-mill web development, and he’s ... [Read more...]

Welcome to the Tidyverse

September 21, 2016 | David Smith

Hadley Wickham, co-author (with Garrett Grolemund) of R for Data Science and RStudio's Chief Scientist, has focused much of his R package development on the un-sexy but critically important part of the data science process: data management. In the Tidy Tools Manifesto, he proposes four basic principles for any computer ... [Read more...]

One year of R / Notes

September 20, 2016 | Françoisn - [email protected]

My collection of R notes is now slightly over one year old. This note reflects on how useful the exercise of blogging about R has been so far, and answers some of the questions that I have received about it. Blogging about R I created my collection of R notes ... [Read more...]

Linux Data Science Virtual Machine: new and upgraded tools

September 20, 2016 | David Smith

The Linux edition of the Data Science Virtual Machine on Microsoft Azure was recently upgraded. The Linux DSVM includes Microsoft R, Anaconda Python, Jupyter, CNTK and many other data science and machine learning tools, new or upgraded for this release. This eWeek story gives an overview of the improvements, but ... [Read more...]

R for Beginners and other R courses | Milan

September 20, 2016 | MilanoR

Info, dates and topics of our five Autumn R Courses: from programming to data manipulation, from statistics to data mining, everything with R starting with R for Beginners course. The post R for Beginners and other R courses | Milan appeared first on MilanoR. [Read more...]

Coming to terms with the pace of change in R

September 20, 2016 | Ista Zahn

Is it you or have I become old and cranky? I've been using R and mostly enjoying it since 2006. Lately I've been having some misgivings about the direction R as a community is headed. Some of these misgivings no doubt stem from reluctance to learn n... [Read more...]

Relative error distributions, without the heavy tail theatrics

September 19, 2016 | John Mount

Nina Zumel prepared an excellent article on the consequences of working with relative error distributed quantities (such as wealth, income, sales, and many more) called “Living in A Lognormal World.” The article emphasizes that if you are dealing with such quantities you are already seeing effects of relative error distributions (... [Read more...]

YaRrr! The Pirate’s (video) Guide to R

September 19, 2016 | David Smith

Today is Talk Like A Pirate Day, the perfect day to learn R, the programming language of pirates (arrr, matey!). If you have two-and-a-bit hours to spare, Nathaniel Phillips has created a video tutorial YaRrr! The Pirate's Guide to R which will take you through the basics: installation, basic R ... [Read more...]

San Francisco Crime Data Analysis Part 2

September 19, 2016 | datacademy

Hello ladies and gents! After, a long break due to my PhD dissertation taking all my time, I am finally back. I am done with my PhD studies, and got my degree. Yaay for me? Let’s continue our analysis of SF crime data. In the first part I had ...
[Read more...]

Applying Functions To Lists Exercises

September 19, 2016 | John Akwei

The lapply() function applies a function to individual values of a list, and is a faster alternative to writing loops. Structure of the lapply() function: lapply(LIST, FUNCTION, ...) The list variable used for these exercises: list1 [Read more...]

rakeR v0.1.1 released on CRAN

September 19, 2016 | philmikejones

I’m proud to announce the initial release of rakeR, v0.1.1, has been published on CRAN! It’s licensed under the GPLv3 so you can use it for any projects you wish. Purpose The goal behind rakeR is to make performing spatial microsimulation in R as easy as possible. R ... [Read more...]

ggtree for outbreak data

September 19, 2016 | R on Guangchuang Yu

OutbreakTools implements basic tools for the analysis of Disease Outbreaks. It defines S4 class obkData to store case-base outbreak data. It also provides a function, plotggphy, to visualize such data on the phylogenetic tree.
library(OutbreakTools)
data(FluH1N1pdm2009)
attach(FluH1N1pdm2009)


x <- new("obkData", individuals = individuals, dna = FluH1N1pdm2009$dna,
         dna.individualID = samples$individualID, dna.date = samples$date,
         trees = FluH1N1pdm2009$trees)

plotggphy(x, ladderize = TRUE, branch.unit = "year",
          tip.color = "location", tip.size = 3, tip.alpha = 0.75)
As I mentioned in the post, ggtree for microbiome data, ggtree fits the R ecosystem ...
[Read more...]
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