May 2017

Unsupervised Learning and Text Mining of Emotion Terms Using R

May 18, 2017 | Mesfin Gebeyaw

Unsupervised learning refers to data science approaches that involve learning without a prior knowledge about the classification of sample data. In Wikipedia, unsupervised learning has been described as “the task of inferring a function to describe hidden structure from ‘unlabeled’ data (a classification of categorization is not included in the ...
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New EARL Conference App

May 18, 2017 | Blog

Get the most out of the EARL Conference with the new phone app, available on iTunes and Google play. View the agenda, speakers, and sponsors in the palm of your hand. Bookmark the sessions you'd like to... [Read more...]

x + x is not 2x

May 18, 2017 | Iñaki Úcar

A few days ago, Joel Courtheyn posted the following issue in the errors package repository on GitHub: Experimenting with the new package I detected a difference in calculation of the error depending on the way a formula was written. Originally I tried to calculate the error for z1
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Euler Problem 21: Amicable Numbers

May 17, 2017 | Peter Prevos

A solution in the R language to Euler Problem 21 which asks to evaluate the sum of all the amicable, or friendly, numbers under 10000. Continue reading → The post Euler Problem 21: Amicable Numbers appeared first on The Devil is in the Data.
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An Introduction to Spatial Data Analysis and Visualization in R

May 17, 2017 | David Smith

The Consumer Data Research Centre, the UK-based organization that works with consumer-related organisations to open up their data resources, recently published a new course online: An Introduction to Spatial Data Analysis and Visualization in R. Created by James Cheshire (whose blog Spatial.ly regularly features interesting R-based data visualizations) and ... [Read more...]

Introduction to copulas Exercises (Part-2)

May 17, 2017 | Guillaume Touzin

Copulas are a powerful statistical tool commonly used in the finance sector to generate samples from a given multivariate joint distribution. The principal advantage of using those types of function over other methods is that copulas describe the multivariate joint distribution as his margin and the dependence structure between them, ... [Read more...]

xts Cheat Sheet: Time Series in R

May 17, 2017 | DataCamp Blog

Even though the data.frame object is one of the core objects to hold data in R, you'll find that it's not really efficient when you're working with time series data. You'll find yourself wanting a more flexible time series class in R that offers a variety of methods to ... [Read more...]

Count models in JAGS

May 17, 2017 | aghaynes

Looks like I’ll be diving into some Bayesian analyses using JAGS. This post is primarily intended as a collection of links to [potentially] useful information, but also includes a few initial thoughts (I might update it occasionally with new links). In terms of R packages, a very brief play ... [Read more...]

xts Cheat Sheet: Time Series in R

May 17, 2017 | Karlijn Willems

Even though the data.frame object is one of the core objects to hold data in R, you'll find that it's not really efficient when you're working with time series data. You'll find yourself wanting a more flexible time series class in R that offers a variety of methods to ... [Read more...]

GSoC 2017 : Biodiversity data cleaning

May 17, 2017 | vijaybarve

By Ashwin Agrawal URL of the Project Idea: https://github.com/rstats-gsoc/gsoc2017/wiki/Biodiversity-data-cleaning Introduction There are an increasing number of scientists using R for their data analyses, however, the skill set required to handle biodiversity data in R, is considerably varies. Since, users need to retrieve, manage and ... [Read more...]
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