1862 search results for "rstudio"

R 3.2.4 is released

March 11, 2016
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R 3.2.4 is released

R 3.2.4 (codename “Very Secure Dishes”) was released today. You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of new features and bug fixes is provided below. Upgrading to R 3.2.4 on Windows If you are using Windows you can easily upgrade to the latest version of R using the installr … Continue reading...

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An Introduction to XGBoost R package

Introduction XGBoost is a library designed and optimized for boosting trees algorithms. Gradient boosting trees model is originally proposed by Friedman et al. The underlying algorithm of XGBoost is similar, specifically it is an extension of the classic gbm algorithm. By employing multi-threads and imposing regularization, XGBoost is able to utilize more computational power and get more accurate prediction....

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Some Light Image Processing & Creation With R

March 10, 2016
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Some Light Image Processing & Creation With R

A friend, we’ll call him Alen put a call out for some function that could take an image and produce a per-row “histogram” along the edge for the number of filled-in points. That requirement eventually scope-creeped to wanting “histograms” on both the edge and bottom. In, essence there was a desire to be able to

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Learn R by Intensive Practice

March 10, 2016
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Learn R by Intensive Practice

Learn R by Intensive Practice is an introductory R course built especially for beginners who are completely new to R or even to basic programming. This is the first part of a multi-part video lessons aimed to give hands-on learning experience throughout the course. In this and the coming parts, I have covered the essential 01. Install R...

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Developing a R Tutorial shiny dashboard app

March 9, 2016
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Developing a R Tutorial shiny dashboard app

Through this post, I would like to describe a R Tutorial Shiny app that I recently developed. You can access the app here. (Please open the app on Chrome as some of the features may not work on IE. The app also includes a “ReadMe” introduction which provides a quick overview on how to use Related Post

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R on Travis-CI

March 9, 2016
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R on Travis-CI

Support for building R projects on Travis has recently undergone improvements which we hope will make it an even better tool for the R community. Feature highlights include: Support for Travis’ container-based infrastructure. Package dependency caching (on the container-based builds). Building with multiple R versions (R-devel, R-release (3.2.3) and R-oldrel (3.1.3)). Log filtering to improve

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Introduction to XGBoost R package

Introduction to XGBoost R package

Introduction XGBoost is a library designed and optimized for boosting trees algorithms. Gradient boosting trees model is originally proposed by Friedman et al. The underlying algorithm of XGBoost is similar, specifically it is an extension of the classic gbm algorithm. By employing multi-threads and imposing regularization, XGBoost is able to utilize more computational power and get more accurate prediction....

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In case you missed it: February 2016 roundup

March 8, 2016
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In case you missed them, here are some articles from February of particular interest to R users. A tutorial on presenting interactive versions of R maps in PowerBI. An animation of Japan's population pyramid through 2050 based on US Census Bureau demographic projections. Interactive visualizations of multivariate data in R with the threejs package. New Zealand's tourism ministry uses...

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mockaRoo – making realistic test data in R

March 8, 2016
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When I’m building stuff in R like packages, models, etc. I find myself wishing for realistic looking test data without having to resort to getting data off my production server. To that end I’ve been on the hunt for a way of generating decent test data. A few months back I stumbled upon the neat The post

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BallR: Interactive NBA Shot Charts with R and Shiny

March 8, 2016
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BallR: Interactive NBA Shot Charts with R and Shiny

The NBA’s Stats API provides data for every single shot attempted during an NBA game since 1996, including location coordinates on the court. I built a tool called BallR, using R’s Shiny framework, to explore NBA shot data at the player-level. BallR lets you select a player and season, then creates a customizable chart that shows shot...

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