2533 search results for "map"

Variable importance in neural networks

August 12, 2013
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Variable importance in neural networks

If you’re a regular reader of my blog you’ll know that I’ve spent some time dabbling with neural networks. As I explained here, I’ve used neural networks in my own research to develop inference into causation. Neural networks fall under two general categories that describe their intended use. Supervised neural networks (e.g., multilayer feed-forward networks)

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In case you missed it: July 2013 Roundup

August 9, 2013
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In case you missed them, here are some articles from July of particular interest to R users: A new 90-second, creative commons video helps R enthusiasts share the history, community and applications of R. Analyst group Butler Analytics reviews 10 predictive analytics platforms, and says that "real analysts use R". An excellent example of Simpsons Paradox: US median wages...

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R on Your iPhone (Not the Way You Think)

August 8, 2013
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R on Your iPhone (Not the Way You Think)

If you really love R, you should put it on your iPhone.  Apple gives the measurements for its products here. Let's use a little grid magic with ggplot2 to make a chart for the back of your iphone similar to this. require(grid)require(ggplot2)# thanks for the Apple measurements# https://developer.apple.com/resources/cases/x11( height = as.numeric(convertX(unit(58.55, "mm"), "in")),...

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Data Science MD July Recap: Python and R Meetup

August 8, 2013
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Data Science MD July Recap: Python and R Meetup

For July’s meetup, Data Science MD was honored to have Jonathan Street of NIH and Brian Godsey of RedOwl Analytics come discuss using Python and R for data analysis. Jonathan started off by describing the growing ecosystem of Python data … Continue reading → The post Data Science MD July Recap: Python and R Meetup appeared first on...

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Understanding the *apply() functions and then others in R by asking questions

August 7, 2013
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Understanding the *apply() functions and then others in R by asking questions

The *apply() functions are powerful but designed poorly. The R documents are written poorly. They combined make R very hard to learn. All the time, it seems there are some explanations missing. (Another bad example of documentation is Python docs. I cannot retrieve information from the long long pages with multi-level bullets. Why don’t they

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Assessing the precision of classification tree model predictions

Assessing the precision of classification tree model predictions

My last post focused on the use of the ctree procedure in the R package party to build classification tree models.  These models map each record in a dataset into one of M mutually exclusive groups, which are characterized by their average response.  For responses coded as 0 or 1, this average may be regarded as an estimate of...

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How to choose a new business location with R

August 6, 2013
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How to choose a new business location with R

This guest post is by Rodolfo Vanzini. Rodolfo is senior partner at eXponential.it — an asset management consultancy based in Italy — and advises clients on investment management issues. He taught at the University of Siena and is an analytics professional. With an economist education and a financial markets expertise four years ago I thought I couldn't be of...

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Explore smartphone market share with Nanocubes

August 5, 2013
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Explore smartphone market share with Nanocubes

Back in May, Twitter's Miguel Rios created some beautiful data visualizations to show that with enough (i.e. billions) of geotagged tweets, you can reveal the geography of where people live, work and commute. Now, a new interactive visualization of 210 million geotagged tweets by AT&T Research Labs reveals the market share of iPhone, Android and Windows smartphones down to...

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Dashboards in R with Shiny and GoogleVis

August 2, 2013
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Dashboards in R with Shiny and GoogleVis

Previously on this post, I introduced limitedly some features of the Shiny package. However, I felt the need of doing a new post related to Dashboards due to many reasons: a) Shiny has changed most of its functions and the … Continue reading →

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bdvis development version available for early feedback

July 30, 2013
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bdvis development version available for early feedback

Google Summer of Code 2013 is half way through. Mid term evaluations are underway. I thought this is a good logical point for us to share what we have been doing for Biodiversity Data Visualizations in R project and open up the package for testing and some early feedback. We have named the package bdvis.

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