msund’s gists

msund / Fits

Last active August 29, 2015 14:05

Fits

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msund / post

Last active August 29, 2015 14:06

File for Joe

	Publishing R and interactive ggplot2 plots to the web
	<br>
	It's delightfully smooth to publish R code, plots, and presentations to the web. For example:
	<ul>
	<br>
	<br>
	<li type=disc><a href="http://shiny.rstudio.com/">Shiny</a> makes interactive apps from R.
	<li type=disc><a href="www.inside-r.org/pretty-r/tool">Pretty R</a> highlights R code for HTML.
	<li type=disc><a href="http://ramnathv.github.io/slidify/">Slidify</a> makes slides from R Markdown.
	<li type=disc><a href="http://yihui.name/knitr/">Knitr</a> and <a href="http://rpubs.com/">RPubs</a> let you publish R Markdown docs.

msund / gist:f52f7fc40946913553ff

Last active August 29, 2015 14:09

R bloggers, 3D

	<p><a href="https://plot.ly">Plotly</a> is a platform for data analysis, graphing, and collaboration. You can use <a href="https://plot.ly/ggplot2">ggplot2</a>, Plotly's <a href="https://plot.ly/r">R API</a>, Plotly's web app to make and share interactive plots. The latest: you can make <a href="http://blog.plot.ly/post/101360048217/7-plotly-graphs-in-3d-stocks-cats-and-lakes">3D plots</a>. Below are a few examples; this post shows three others, made with ggplot2 and Plotly's R API.</p>
	<br>
	<br>
	<center><a href="http://blog.plot.ly/post/101360048217/7-plotly-graphs-in-3d-stocks-cats-and-lakes"><img src="http://i.imgur.com/asHsC9x.png" title="3D" /></a></center>
	<br>
	<br>
	First, let's convert a ggplot2 tile plane into a Plotly graph, then convert it to a 3D plot. You can copy and paste this code and use a test username and key, or <a href="https://plot.ly/ssu">sign up for an account</a> and generate your own.
	<br>
	<br>
	<div style="overflow:auto;"><div class="geshifilter"><pre class="r geshifilter-R" style="f

msund / Maps File

Last active August 29, 2015 14:11

Maps & Volcanoes: Interactive 2D & 3D ggplot2

	<a href="https://plot.ly/r">R</a>, <a href="https://plot.ly/">Plotly</a>, and <a href="https://plot.ly/ggplot2">ggplot2</a> let you make, share, and collaborate on beautiful, interactive plots online. Let's see what we can do with the topographic data from Auckland's Maunga Whau Volcano that comes with R.
	<br>
	<br>
	Copy and paste this R code to make your first plot. The basic idea is: use ggplot2 code, add <code>py$ggplotly()</code> to call the Plotly API, and make an interactive, web-based plot for sharing and collaboration.
	<br>
	<br>
	<div style="overflow:auto;"><div class="geshifilter"><pre class="r geshifilter-R" style="font-family:monospace;"><a href="http://inside-r.org/r-doc/utils/install.packages"><span style="color: #003399; font-weight: bold;">install.packages</span></a><span style="color: #009900;">(</span><span style="color: #0000ff;">"devtools"</span><span style="color: #009900;">)</span> <span style="color: #666666; font-style: italic;"># so we can install from github</span>
	<

msund / gist:77ff3acb6697fed764cb

Created December 12, 2014 21:02

Nightingale

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msund / gist:c2940480a608be6042ea

Created December 15, 2014 20:26

maps post for Alex

	Let's say you want to visually compare the peaks in a mountain range. Or you need to describe irregularities in temperature over time. But all your data is in a spreadsheet. How would you do it?
	<br>
	<br>
	A map. Not just any map. A beautiful, interactive, online map.
	<br>
	<br>
	This post shows how to use interactivity and maps in <a href="https://plot.ly">Plotly</a>, a new graphing and analytics platform. Our <a href="https://plot.ly/api">APIs</a> for <a href="https://plot.ly/r">R</a>, <a href="https://plot.ly/python">Python</a>, and <a href="https://plot.ly/matlab">MATLAB</a> let you collaboratively make and share plots and maps. You can make plots using <a href="https://plot.ly/ggplot2">ggplot2</a>, <a href="https://plot.ly/matplotlib">matplotlib</a>, Excel, <a href="https://github.com/plotly/Igor-Pro-Graph-Converter">Igor Pro</a>, or our web app--entirely with coding or without any. Your call.
	<br>
	<br>
	<h2>1. Canadian Cities, Virginia Breweries, & Election Maps</h2>

msund / gist:b823f4df1e7dacf4c1a4

Created December 25, 2014 07:35

Quartet

	install.packages("devtools") # so we can install from github
	library("devtools")
	install_github("ropensci/plotly") # plotly is part of ropensci
	library(plotly)

	py <- plotly(username="r_user_guide", key="mw5isa4yqp") # open plotly connection

	library(ggplot2)
	anscombe_m <- data.frame()

msund / gist:cc530bb04dddb5ab6f61

Last active August 29, 2015 14:12

Anscombe & Nightingale Code

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msund / gist:bd1e603c0139376c4e8b

Created December 29, 2014 21:53

msund / gist:6aef1d4975233fbef1d5

Created December 30, 2014 00:08

Matthew Sundquist msund