Articles - R Conference

data.table for beginners II



Source: useR 2017!

data.table for beginners I.



Source: useR 2017

Introduction to parallel computing with R



Source: useR 2017

This era of Big Data has been a challenge for R users. First there were issues with address spaces restrictions in R itself. Though this problem has been (mostly) solved, major issues remain in terms... [Read more]

Next generation sequencing technologies, such as RNA-Seq, generate tens of millions of reads to define the expression levels of the features of interest.

A wide number and variety of... [Read more]

In the last decade, the volume of data have grown faster then the speed of processors. In this situation the statistical machine learnig methods have become more limited by the computations time than... [Read more]

Getting data into and out of databases is one of the most fundamental parts of data science.

Much of the world's data is stored in databases, including traditional databases such as SQL... [Read more]

A common challenge in many areas of data science is the proliferation of large and heterogeneous datasets, stored in disjoint files and specialized formats, and exceeding the available memory of a... [Read more]

This talk introduces implyr, a new dplyr backend for Apache Impala.

Impala is a massively parallel processing query engine that enables low-latency SQL queries on data stored in the Hadoop... [Read more]

This article contains a video describing how to perform dose-response analysis using R.

Source: International R User 2017 Conference