3181 search results for "gis"

Working with climate data from the web in R

August 17, 2013
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Working with climate data from the web in R

I recently attended ScienceOnline Climate, a conference in Washington, D.C. at AAAS. You may have heard of the ScienceOnline annual meeting in North Carolina - this was one of their topical meetings focused on Climate Change. I moderated a session on working with data from the web in R, focusing on climate data. Search Twitter for...

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Anomaly Detection Using The Adobe Analytics API

August 15, 2013
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Anomaly Detection Using The Adobe Analytics API

As digital marketers & analysts, we’re often asked to quantify when a metric goes beyond just random variation and becomes an actual “unexpected” result. In cases such as A/B..N testing, it’s easy to calculate a t-test to quantify the difference between two testing populations, but for time-series metrics, using a t-test is likely not appropriate. Anomaly Detection Using...

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Golf Scramble Simulation in R

August 14, 2013
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Golf Scramble Simulation in R

Golf Scramble Simulation Golf Scramble SimulationThis is a simulation of a standard best-ball golf scramble. Conventional wisdom has it that the best golfer (A) should hit last, the idea being that one of the lesser golfers may have a decent shot already so the...

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predictNLS (Part 1, Monte Carlo simulation): confidence intervals for ‘nls’ models

August 14, 2013
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predictNLS (Part 1, Monte Carlo simulation): confidence intervals for ‘nls’ models

Those that do a lot of nonlinear fitting with the nls function may have noticed that predict.nls does not have a way to calculate a confidence interval for the fitted value. Using confint you can obtain the error of the fit parameters, but how about the error in fitted values? ?predict.nls says: “At present se.fit

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Free R Graphics Workshop, Copenhagen, Denmark, 26th August

August 13, 2013
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Mango Solutions are pleased to announce a free R Graphics Workshop in Copenhagen on Monday 26th August (6-8pm). The workshop is open to all and any interested R users or those wishing to learn more about R.   The workshop will focus on using R to create powerful graphics, specifically covering: •             An introduction to R •             Getting data into...

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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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Identifying Potential Customers with Classification Techniques in R Language

August 12, 2013
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Identifying Potential Customers with Classification Techniques in R Language

Data mining techniques and algorithms such as Decision Tree, Naïve Bayes, Support Vector Machine, Random Forest, and Logistic Regression are “most commonly used for predicting a specific outcome such as response / no-response, high / medium / low-value customer, likely to buy / not buy.”1 In this article, we will demonstrate how to use R

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Software carpentry

August 11, 2013
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Software carpentry

I would never call myself a programmer, but as an ecologists I manage moderately big and complicated datasets, and that require to interact with my computer to get the most of them. I self-taught most of the things I need … Continue reading →

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Data Scientists and Statisticians: Can’t We All Just Get Along

August 9, 2013
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Data Scientists and Statisticians: Can’t We All Just Get Along

It seems that the title “data science” has taken the world by storm.  It’s a title that conjures up almost mystical abilities of a person garnering information from oceans of data with ease.  It’s where a data scientist can wave his or her hand like a Jedi Knight and simply tell the data what it

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R/gridSVG/d3 Line Reverse Data Bind

August 8, 2013
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R/gridSVG/d3 Line Reverse Data Bind

I veer from finance to tech, so let’s use some data from FRED/OECD this time.  I do not think I need to comment much on what has happened to New Car Registrations in Greece. Reverse data binding a line plot from ggplot2 or lattice is slightly more difficult than what we saw in the last post I Want...

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