# 168 search results for "iris"

## Diving into H2O

April 17, 2014
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by Joseph Rickert One of the remarkable features of the R language is its adaptability. Motivated by R’s popularity and helped by R’s expressive power and transparency developers working on other platforms display what looks like inexhaustible creativity in providing seamless interfaces to software that complements R’s strengths. The H2O R package that connects to 0xdata’s H2O software (Apache...

## Make your ggplots shareable, collaborative, and with D3

April 17, 2014
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Editor's note: This is a guest post from Matt Sundquist form the Plot.ly team. You can access the source code for this post at https://gist.github.com/sckott/10991885 Ggplotly and Plotly's R API let you make ggplot2 plots, add py\$ggplotly(), and make your plots interactive, online, and drawn with D3. Let's make some. 1. Getting Started and Examples Here is Fisher's iris...

## Modeling Data With Functional Programming In R – Chapter 1

April 16, 2014
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I’m pleased to announce that a rewrite of my first chapter of “Modeling Data With Functional Programming In R” is …Continue reading →

## Functional programming in R

Functional programming in R This post is based on a talk I gave at the Manchester R User Group on functional programming in R on May 2nd 2013. The original slides can be found here This post is about functional programming, why it is at the heart of the R language and how it can hopefully help you...

March 25, 2014
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Sankey diagrams are great for visualising flows from one set of data values to another. Although named after Irish Captain Matthew Henry Phineas Riall Sankey, who used this type of diagram in 1898 to show the energy efficiency of a steam engine, the best know Sankey diagram is probably Charles Minard's Map of Napoleon's Russian Campaign...

## Data Sets for Data Science

March 20, 2014
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by Joseph Rickert Recently, I had the opportunity to be a member of a job panel for Mathematics, Economics and Statistics students at my alma mater, CSUEB (California State University East Bay). In the context of preparing for a career in data science a student at the event asked: “Where can I find good data sets?”. This triggered a...

## The #rBlocks Experiments

March 19, 2014
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What's this ? Where should I start? OK, the story goes like this ... rBlocks: A port of #ipythonblocks to #rstats http://t.co/iMMRPCxQIN @simplystats @gvwilson @hadleywickham...

## Brief introduction on Sweave and Knitr for reproducible research

February 24, 2014
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$Brief introduction on Sweave and Knitr for reproducible research$

A few weeks ago I gave a presentation on using Sweave and Knitr under the guise of promoting reproducible research. I humbly offer this presentation to the blog with full knowledge that there are already loads of tutorials available online. This presentation is specific and slightly biased towards Windows OS, so it probably has limited

## ggplot2: Cheatsheet for Visualizing Distributions

February 18, 2014
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In the third and last of the ggplot series, this post will go over interesting ways to visualize the distribution of your data.