June 2016

R, Stan and Bayesian Statistics

June 23, 2016 | Joseph Rickert

by Joseph Rickert Just about two and a half years ago I wrote about some resources for doing Bayesian statistics in R. Motivated by the tutorial Modern Bayesian Tools for Time Series Analysis by Harte and Weylandt that I attended at R/Finance last month, and the upcoming tutorial An ... [Read more...]

First thoughs on R integration in SQL Server 2016

June 23, 2016 | R on Guangchuang Yu

This blog post is a very personal confession, might be delicate but it must be understood as a  proposal or plan for improvement. Update #1: Typing error in title: correct title is First thoughts on R integration in SQL Server 2016 (update: June 24, 2016) Before the start, let me put some background and ...
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Cheatsheet – Selecting Graphs for Statistical Analysis

June 23, 2016 | Anu Rajaram

One of the first steps with any statistical analysis, whether for hypothesis testing or predictive analytics or even a Kaggle competition, is checking the relationship between different variables. Checking if a pattern exists. Graphs are a fantastic and visual way of identifying such relationships. However, numerous readers kept getting stuck ...
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satRday conference in September 2016 at Budapest

June 23, 2016 | Gergely Daróczi

As you probably already know, satRdays are go -- and the location of the first three events in the series is now also decided: Budapest, Hungary San Juan, Puerto Rico Cape Town, South Africa To help to organize such community-driven, regional R conferences or simply to get more details about ... [Read more...]

How To Print x Label Vertical In Ggplot2

June 22, 2016 | Kevin

I was working with some boxplots last month and I needed to plot twelve months of air quality data. The problem was that the twelve months over lapped each other and the plot didn’t look good. If I could only draw the x labels vertical. For this example, I’... [Read more...]

Working with Rcpp::StringVector

June 22, 2016 | Rcpp Gallery

Vectors are fundamental containers in R. This makes them equally important in Rcpp. Vectors can be useful for storing multiple elements of a common class (e.g., integer, numeric, character). In Rcpp, vectors come in the form of NumericVector, CharacterVector, LogicalVector, StringVector and more. Look in the header file Rcpp/...
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Case Study: Animation and Others Vizs

June 22, 2016 | Joshua Kunst

This post will be about if we can show some data in other ways to try to tell more clearly the Oh! Foo! is this rly happening? story. Time time ago an gif appears showing the change of the global temperatures over time. Well, some sites like http://gizmodo.com/ ... [Read more...]

In search of an incredible posterior

June 22, 2016 | Brian A. Fannin

What is credibility? For over one hundred years 1 actuaries have been wresting with the idea of “credibility”. This is the process whereby one may make a quantitative assessment of the predictive power of sample data. Where necessary, the researcher augments the sample with some exogeneous information - usually more data ... [Read more...]

What is reproducible research?

June 22, 2016 | Daniel's Blog

I was asked about my understanding of reproducible research, and how that applies to social research. Here is how I see: Reproducible research is key to any scientific method, including applied social sciences. My minimalist understanding of reproduci... [Read more...]

R 3.3.1 is released

June 22, 2016 | Tal Galili

R 3.3.1 (codename “Bug in Your Hair”) was released yesterday You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of bug fixes is provided below new features and (this release does not introduce new features). Upgrading to R 3.3.1 on Windows ...
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R 3.3.1 now available

June 22, 2016 | David Smith

Peter Dalgaard announced yesterday on behalf of the R core team that R 3.3.1, the latest update to the R language, is now available for download from your local CRAN mirror. As of this writing, binaries of R 3.3.1 are available for Windows and Linux; the Mac version should appear very soon. ... [Read more...]

Plotting greyscale contoured data in R with ggplot2

June 22, 2016 | philmassie

Introduction Preparing figures for publication can take a long time (well it does for me anyway), and I relied very heavily on numerous online resources to figure out some of the dos and don’ts. Obviously I owe massive thanks to the hundreds of blogs and Stack Exchange questions and ... [Read more...]

y-aware scaling in context

June 22, 2016 | John Mount

Nina Zumel introduced y-aware scaling in her recent article Principal Components Regression, Pt. 2: Y-Aware Methods. I really encourage you to read the article and add the technique to your repertoire. The method combines well with other methods and can drive better predictive modeling results. From feedback I am not sure ... [Read more...]

D3Plus for R

June 22, 2016 | "Mauricio Vargas S. 帕夏"

This is my 1st release of D3Plus for R. By now, it only has barchart, treemap and network functions. Update Aug, 6th: I have added scatterplot functionality. The package and its documentation are available in my Github repo D3Plus. Soon I shall upload ... [Read more...]

Plot your own EU referendum poll results

June 22, 2016 | biomickwatson

Due to the unspeakable horror of the EU referendum, I have to find something to make me feel better.  This poll of polls usually does so, though it is way too close for comfort. Anyway, I took their data and plotted it for myself.  Data and script are on github, ... [Read more...]

MonetDBLite because fast

June 21, 2016 | Anthony Damico

MonetDBLite is a SQL database that runs inside the R environment for statistical computing and does not require the installation of any external software. MonetDBLite is based on free and open-source MonetDB, a product of the Centrum Wiskunde & Informatica.MonetDBLite is similar in functionality to RSQLite, but typically completes queries ...
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Clustering Mixed Data Types in R

June 21, 2016 | Wicked Good Data - r

Clustering allows us to better understand how a sample might be comprised of distinct subgroups given a set of variables. While many introductions to cluster analysis typically review a simple application using continuous variables, clustering data of ... [Read more...]
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