2447 search results for "GIS"

Using R for a salary negotiation–an extension of decision tree models

March 21, 2012
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Using R for a salary negotiation–an extension of decision tree models

Let’s say you are in the middle of a salary negotiation, and you want to know whether you should be aggressive in your offering or conservative. One way to help with the decision is to make a decision tree. We’ll work with the following assumptions: You are at a job currently making $50k You have the choices between...

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Geocode and reverse geocode your data using, R, JSON and Google Maps’ Geocoding API

March 20, 2012
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Geocode and reverse geocode your data using, R, JSON and Google Maps' Geocoding APITo geocode and reverse geocode my data, I use Google's Geocoding service which returns the geocoded data in a JSON. I will recommend that you register with Google Maps A...

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New R User Group in Montréal

March 20, 2012
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The Biology Department at McGill University in Québec, Canada has been running a series of R workshops since 2010. Past topics have included Generalized Additive Models, Linear Mixed-effects Models and a four-part Intro to R series -- follow the links and look at the bottom of each page for some very useful course notes. Over the past year the...

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Monty Hall Simulations

March 20, 2012
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Using R I'm doing a lot of simulations of the classic monty hall-problem and plotting multiple simulations using ggplot2.

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mvabund – new R pkg for multivariate abundance data

March 19, 2012
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mvabund – new R pkg for multivariate abundance data

There is a new R package in town, mvabund, which does, as they say "statistical methods for analysing multivariate abundance data". The authors introduced the paper in an online early paper in Methods in Ecology and Evolution here, R package here.Th...

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Solving easy problems the hard way

March 17, 2012
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Solving easy problems the hard way

There’s a charming little brain teaser that’s going around the Interwebs. It’s got various forms, but they all look something like this: This problem can be solved by pre-school children in 5-10 minutes, by programer – in 1 hour, by people with higher education … well, check it yourself!  8809=6 7111=0 2172=0 6666=4 1111=0 3213=0 7662=2 9313=1 0000=4 2222=0 3333=0 5555=0 8193=3 8096=5 7777=0 9999=4 7756=1 6855=3 9881=5 5531=0 2581=? SPOILER ALERT… The answer has to do with how many

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Montreal R Workshop: Likelihood Methods and Model Selection

March 16, 2012
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Montreal R Workshop: Likelihood Methods and Model Selection

Monday, March 19, 2012  14h-16h, Stewart Biology N4/17 Corey Chivers, McGill University Department of Biology This workshop will introduce participants to the likelihood principal and its utility in statistical inference.  By learning how to formalize models through their likelihood function, participants will learn how to confront these models with data in order to make statistical

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Download and Parse DJ/UBS Commodities Indexes

March 16, 2012
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Download and Parse DJ/UBS Commodities Indexes

Here is another data downloading and parsing script, this one for the Dow Jones/UBS Commodities Indexes. Compared to the last post, this parser deals with multiple sheets and multiple columns in each sheet. It also constructs monthly series from the daily data, and stores it using a different symbol. Finally, it’s a good example of

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Opinions Not Backed by Money Updated Again

March 15, 2012
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Opinions Not Backed by Money Updated Again

Strange that I am updating this post for a third time and nothing really has changed, but the fact that nothing has changed is incredibly interesting to me.  Since it is an update, I will not duplicate the explanation, so please read the last vers...

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New R User Group in Montreal

March 15, 2012
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New R User Group in Montreal

The Montreal R User Group is now official. You can join the group by visiting the meetup site. The group has existed since 2010 in a narrower incarnation as the BGSA R/Stats Workshop Series. Previous workshops have featured invited facilitators on topics such as Causal Analysis, GLMs, GAMs, Multi-model inference, Phylogenetic analysis, Bayesian modeling, Meta-analysis,

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