August 2016

ggplot2 (ggplot) Introduction

August 26, 2016 | wszafranski

In this post I’ll briefly introduce how to use ggplot2 (ggplot), which by default makes nicer looking plots than the standard R plotting functions. The first thing to know is that ggplot requires data frames work properly. It is an entirely different framework from the standard plotting functions in ...
[Read more...]

Analysis of the #7FavPackages hashtag

August 26, 2016 | David Robinson

Twitter has seen a recent trend of “first 7” and “favorite 7” hashtags, like #7FirstJobs and #7FavFilms. Last week I added one to the mix, about my 7 favorite R packages: devtoolsdplyrggplot2knitrRcpprmarkdownshiny#7FavPackages #rstats— David Robinson (@drob) August 16, 2016 Hadley Wickham agreed to share his own, but on one condition: @drob I'll do ... [Read more...]

Five ways to calculate internal consistency

August 26, 2016 | Simon Jackson

Let’s get psychometric and learn a range of ways to compute the internal consistency of a test or questionnaire in R. We’ll be covering: Average inter-item correlation Average item-total correlation Cronbach’s alpha Split-half reliability (adjusted using the Spearman–Brown prophecy formula) Composite reliability If you’re unfamiliar ...
[Read more...]

Beyond R: Integration of R into the analysis software KNIME and in Docker environments

August 26, 2016 | eoda GmbH

Speaker of the [R] Kenntnis-Tage 2016: Eugene Harschack | Decadis AG Eugene Harschack works in the Business Intelligence Solution department at Decadis, where he implements BI solutions for customers. Decadis is an independent IT consulting firm which supports customers in planning, implementing and operating IT infrastructures. The department Business Intelligence Solutions deals ...
[Read more...]

RcppArmadillo 0.7.400.2.0

August 25, 2016 | Thinking inside the box

Another Armadillo 7.* release -- now at 7.400. We skipped the 7.300.* serie release as it came too soon after our most recent CRAN release. Releasing RcppArmadillo 0.7.400.2.0 now keeps us at the (roughly monthly) cadence which works as a good compr... [Read more...]

Simple Guide to S3 Methods

August 25, 2016 | njtierney - rbloggers

So I’ve just submitted my first article to the R Journal! The paper, “A Simple Guide to S3 Methods”, is my attempt at a quick and simple guide to using S3 methods in R. Although not my first publication, it is my first solo publication, whi... [Read more...]

Plotting cool graphs in R

August 25, 2016 | biomickwatson

I have to admit to being a bit of a snob when it comes to graphs and charts in scientific papers and presentations.  It’s not like I think I am particularly good at it – I’m OK – it’s just that I know what’s bad.  I’ve seen ...
[Read more...]

Presidential Election Predictions 2016 (an ASA competition)

August 25, 2016 | Tal Galili

Guest post by Jo Hardin ASA’s Prediction Competition In this election year, the American Statistical Association (ASA) has put together a competition for students to predict the exact percentages for the winner of the 2016 presidential election. They are offering cash prizes for the entry that gets closest to the ...
[Read more...]

Tickets now available for EARL2016 Boston

August 25, 2016 | Angela Roberts

We are pleased to announce that registration has now opened for this year’s Boston EARL Conference, which will be held at the Boston Science Museum on the 7-9th November. The call for abstracts is still open  so it’s not to late … Continue reading → [Read more...]

R with Power BI: Import, Transform, Visualize and Share

August 25, 2016 | David Smith

Power BI, Microsoft's data visualization and reporting platform, has made great strides in the past year integrating the R language. This Computerworld article describes the recent advances with Power BI and R. In short, you can: import data into Power BI by using an R script cleanse and transform other ... [Read more...]

Multidimensional clustering with web analytics data

August 25, 2016 | eoda GmbH

Speaker of the [R] Kenntnis-Tage 2016: Alexander Kruse | etracker GmbH Alexander Kruse works as a data analyst at etracker, a leading provider of products and services for optimizing websites and online marketing activities in Europe. By now, more than 110.000 customers are using etracker solutions, among them companies such as Jochen Schweizer, ...
[Read more...]

Working efficiently with R – faster to the data product

August 25, 2016 | eoda GmbH

Speaker of the [R] Kenntnis-Tage 2016: Julian Gimbel | Lufthansa Industry Solutions Julian Gimbel works as a data scientist at Lufthansa Industry Solutions. The company supports customers in digitalizing and automating their processes in order to increase their turnover and efficiency while simultaneously reducing their costs. In his guest lecture working efficiently ...
[Read more...]

Rcpp example using NA

August 25, 2016 | Brandon Bertelsen

Dealing with NA in Rcpp can be a bit tricky to sort out, but the speed boosts are incredible and if you're dealing with large data - worth the time to figure it out. But usage cases are important to consider in the example below you can see that vectorized [Read more...]

Python style logging in R

August 24, 2016 | Jonathan Callahan

This entry is part 20 of 20 in the series Using RWe are increasingly using R in “operational” settings that require robust error handling and logging. In this post we describe a quick-and-dirty way to get python style multi-level log files …   read more ... [Read more...]

How to evaluate R models in Azure Machine Learning Studio

August 24, 2016 | Constantinos Voglis

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing machine learning workflows. The basic computational unit of an Azure ML Studio workflow (or Experiment) is a module which implements machine learning algorithms, data conversion and transformation functions etc. Modules can be connected by data flows, ... [Read more...]

Learning from data science competitions- baby steps

August 23, 2016 | Ashish

Off lately a considerable number of winner machine learning enthusiasts have used XGBoost as their predictive analytics solution. This algorithm has taken a preceedence over the traditional tree based algorithms like Random Forests and Neural Networks. The acronym Xgboost stands for eXtreme Gradient Boosting package. The creators of this algorithm ...
[Read more...]
1 2 3 4 5 14

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)