54 search results for "rattle"

In case you missed it: October 2016 roundup

November 15, 2016
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In case you missed them, here are some articles from October of particular interest to R users. A brief summary of the R 3.3.2 release. "Data Science with SQL Server 2016", a free E-book featuring several in-depth R examples, is now available for download. The ReporterRs package makes it easy to insert R output, tables and graphics into Word...

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RStudio v1.0 released

November 7, 2016
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When the RStudio first came on the scene in February 2011, there wasn't much in the way of tools for developers using the R language. The R GUI on Windows and Mac had a basic code-editing window, and there were a couple of menu-based GUIs like Rattle and R Commander that were aimed more at those who would prefer...

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How to get started with Data Science using R

September 7, 2016
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How to get started with Data Science using R

R being the lingua franca of data science and is one of the popular language choices to learn data science. Once the choice is made, often beginners find themselves lost in finding out the learning path and end up with a signboard as below. Photo by George Chadwik (some rights reserved)  In this blog post … Continue...

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Titanic – Machine Learning from Disaster (Part 1)

February 17, 2016
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Titanic – Machine Learning from Disaster (Part 1)

Synopsis In the challenge Titanic – Machine Learning from Disaster from Kaggle, you need to predict of what kind of people were likely to survive the disaster or did not. In particular, they ask to apply the tools of machine learning to predict which passengers survived the tragedy. I’ve split

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Rated R: Recommended Reading

November 19, 2015
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Rated R: Recommended Reading

by Joseph Rickert What are you reading? - and what are you recommending to friends, colleagues, and students who want to learn something about R programming? A quick search of Amazon will show that there are several new R books proposed for 2016; but of course, new doesn't necessarily mean better. I fully expect that many new books in...

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Data Mining with R: Generate knowledge from data with the eoda R-Academy

October 21, 2015
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The course “Data Mining with R”, which takes place from 9th to 10th November 2015 in Kassel, Germany, teaches the most important methods to expose correlations in data and inherent patterns. The wide set of methods can be used for almost every application area. From customer segmentation to timely recognition of machines, users gain knowledge

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Goals for the New R Consortium

July 28, 2015
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Goals for the New R Consortium

by Bob Muenchen The recently-created R Consortium consists of companies that are deeply involved in R such as RStudio, Microsoft/Revolution Analytics, Tibco, and others. The Consortium’s goals include advancing R’s worldwide promotion and support, encouraging user adoption, and improving documentation … Continue reading →

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Part 4a: Modelling – predicting the amount of rain

April 6, 2015
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Part 4a: Modelling – predicting the amount of rain

In the fourth and last part of this series, we will build several predictive models and evaluate their accuracies. In Part 4a, our dependent value will be continuous, and we will be predicting the daily amount of rain. Then, in Part 4b, we will deal with the case of a binary outcome, which means we will assign probabilities to...

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Spliting a Node in a Tree

March 23, 2015
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Spliting a Node in a Tree

If we grow a tree with standard functions in R, on the same dataset used to introduce classification tree in some previous post, > MYOCARDE=read.table( + "http://freakonometrics.free.fr/saporta.csv", + head=TRUE,sep=";") > library(rpart) > cart<-rpart(PRONO~.,data=MYOCARDE) we get > library(rpart.plot) > library(rattle) > prp(cart,type=2,extra=1) The first step is to split the first node (based on the whole dataset). To split it, we...

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Getting Data From An Online Source

March 6, 2015
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Getting Data From One Online SourceRobert NorbergHello world. It’s been a long time since I posted anything here on my blog. I’ve been busy getting my Masters degree in statistical computing and I haven’t had much free time to blog. But I’ve writing R code as much as ever. Now, with graduation approaching, I’m job hunting and I thought it would...

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