3748 search results for "gis"

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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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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Trends in the Analytics Job Market

August 7, 2013
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Trends in the Analytics Job Market

Tracking the job market for statistics, analytics, data mining and the like used to be a major undertaking. However, on November 10, 2011 the world’s largest web site for job postings, Indeed.com, released a tool that allows you to examine trends … Continue reading →

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Tabular Data I/O in Julia

August 6, 2013
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Importing tabular data into Julia can be done in (at least) three ways: reading a delimited file into an array, reading a delimited file into a DataFrame and accessing databases using ODBC. Reading a file into an array using readdlm The most basic way to read data into Julia is through the use of the Tabular Data I/O...

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