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I’m pleased to announce sjmisc 2.3.0, which was just updated on CRAN. The update might break existing code – however, functions were largely revised to work seamlessly within the tidyverse. In the long run, consistent design makes working with sjmisc more intuitive. Basically, sjmisc covers two domains of functionality: Reading and ... [Read more...]

Introduction Large amounts of data are collected every day from satellite images, bio-medical, security, marketing, web search, geo-spatial or other automatic equipment. Mining knowledge from these big data far exceeds human’s abilities. Clustering is one of the important data mining methods for discovering knowledge in multidimensional data. The goal ... [Read more...]

In the hyper-competitive retail industry, intelligence about your customers is key. You need to be able to find the right customers, understand what types of customers you have, and know how to keep the best ones. Three solutions based around R and SQL Server R Services will help you do ... [Read more...]

The ifelse function is the way to do vectorised if then else in R. One of the first cool things I learned to do in R a few years back, I got from Norman Matloff’s The Art of R Programming. When you have more than one if then statements, ... [Read more...]

Maëlle Salmon, a Forwards collaborator, got the chance to interview Emily Robinson, who recently became a data analyst at Etsy. A very inspiring R-Lady! Hi, Emily! Thanks for letting us interview you! You studied Decision Sciences at Rice University and then graduated from INSEAD with a Master’s degree ... [Read more...]

Maëlle Salmon, a Forwards collaborator, got the chance to interview Emily Robinson, who recently became a data analyst at Etsy. A very inspiring R-Lady! Hi, Emily! Thanks for letting us interview you! You studied Decision Sciences at Rice University and then graduated from INSEAD with a Master’s degree ... [Read more...]

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RENDER FUNCTIONS In the sixth part of our series we will talk about the renderPlot and the renderUI function and then we will be ready to create our first visualization. (Find part 1-5 here). We are going to create a simple interactive scatterplot that will help us see the clusters ... [Read more...]

The post How to map geospatial data: USA rivers appeared first on SHARP SIGHT LABS. [Read more...]

Note: Cross-posted with the Stack Overflow blog. Check out the code for this analysis on Kaggle. For me, the weekends are mostly about spending time with my family, reading for leisure, and working on the open-source projects I am involved in. These we... [Read more...]

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Note: Cross-posted with the Stack Overflow blog. Check out the code for this analysis on Kaggle. For me, the weekends are mostly about spending time with my family, reading for leisure, and working on the open-source projects I am involved in. These w... [Read more...]

  Oksana Kutkina, Stefan Feuerriegel March 7, 2016 Introduction Deep learning is a recent trend in machine learning that models highly non-linear representations of data. In the past years, deep learning has gained a tremendous momentum and prevalence for a variety of applications (Wikipedia 2016a). Among these are image and speech recognition, driverless ... [Read more...]

In answering a simple question on X validated about producing Monte Carlo estimates of the variance of estimators of exp(-θ) in a Poisson model, I wanted to illustrate the accuracy of these estimates against the theoretical values. While one case was easy, since the estimator was a Binomial B(... [Read more...]

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In case you missed them, here are some articles from January of particular interest to R users. The Data Science Virtual Machine on Azure has been updated with the latest Microsoft R Server, and adds RStudio and JuliaPro. A crowdsourced list of local R user groups and community events, maintained ... [Read more...]

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A friend asked me whether I can create a loop which will run multiple regression models. She wanted to evaluate the association between 100 dependent variables (outcome) and 100 independent variable (exposure), which means 10,000 regression models. Regression models with multiple dependent (outcome) and independent (exposure) variables are common in genetics. So models ... [Read more...]

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