Global Indicator Analyses with R

May 13, 2013
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Global Indicator Analyses with R

I was recently asked by a client to create a large number of “proof of concept” visualizations that illustrated the power of R for compiling and analyzing disparate datasets. The client was specifically interested in automated analyses of global data. A little research led me to the WDI package. The WDI package is a tool The post Global...

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Living it up with computational errors

May 13, 2013
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How to have a better chance of a good outcome. Making mistakes There’s been a lot of talk recently about data analysis problems with spreadsheets.  If you’ve not stuck your head out of your cave lately, then you can catch some of the discussion by doing an internet search for: Reinhart Rogoff There are several The post Living...

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Combining dataframes when the columns don’t match

May 13, 2013
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Combining dataframes when the columns don’t match

Most of my work recently has involved downloading large datasets of species occurrences from online databases and attempting to smoodge1 them together to create distribution maps for parts of Australia. Online databases typically have a ridiculous number of columns with … Continue reading →

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Who Has the Best Fantasy Football Projections: ESPN, CBS, NFL.com, or FantasyPros?

May 12, 2013
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Who Has the Best Fantasy Football Projections: ESPN, CBS, NFL.com, or FantasyPros?

In prior posts, I demonstrated how to download, calculate, and compare fantasy football projections from ESPN, CBS, and NFL.com.  In my last post, I demonstrated how to download FantasyPros projections, which aggregate projections from many different sources to increase prediction accuracy.  In this post, I will compare fantasy football projections from ESPN, CBS, NFL, and FantasyPros, including our average...

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The Guerilla Guide to R

May 12, 2013
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Update: Okay. I've uploaded a new template and things seem to be fine now. Update: I am aware the table of contents is not being displayed in bullet form as I intended. The web template I'm using seems to be buggy. It also seems to think this page is in Indonesian...Working on it! Table of Contents: Reading/Writing Files

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Recent Rcpp talks at U of C and MCW

A couple of days ago, I had an opportunity to give a guest lecture on our Rcpp package for R and C++ integration. This was in CMSC 12300 Computer Science with Applications-3 in the Department of Computer Science at University of Chicago. The course i...

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awalé

May 12, 2013
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awalé

Following Le Monde puzzle #810, I tried to code an R program (not reproduced here) to optimise an awalé game but the recursion was too rich for R: even with a very small number of holes and seeds in the awalé… Searching on the internet, it seems the computer simulation of a winning strategy for

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Using C libraries in R with rdyncall

May 12, 2013
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Using C libraries in R with rdyncall

One reason I like using R for data analysis is that R has a great collection of packages that let you easily apply state-of-the-art methods to your problems. But once in a while you find a library that you would like to use that does not have a R wrapper, yet. While the great Rcpp

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A new package : Quandl

May 12, 2013
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A new package : Quandl

Quandl is a new database management tool which seeks to become the place to find datasets. That is, each unique indicator is considered an independent data set. This helps them to seem to have a ginormous quantity of data sets. Source : Blog Econo...

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Reshaping data

May 12, 2013
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Preparing and reshaping data is the ever continuing task of a data analyst. Luckily we have many tools for it. The default tool in R would be reshape(), although this is so user friendly that a reshape package has been added too. I try to use reshape()...

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Playing cards, with R

May 11, 2013
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Playing cards, with R

In my courses on R, I usually show how to insert a picture as a background for a graph. But it is also to see the picture as an object, and to insert it in a graph everywhere we like to see it, as explained on the awesome blog http://rsnippets.blogspot.ca/…. (in a post published in January 2012). I wanted...

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Animations Understood

May 11, 2013
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Animations Understood

When I first saw a graphic made from Yihui’s animation package (Xie, 2013) I was amazed at the magic and thought “I could never do that”. Passage of time… One night I found myself bored and as usual avoiding work. … Continue reading →

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Reproducibility and randomness

May 11, 2013
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Reproducibility and randomness

With Stéphane Tufféry, we were working this week on a chapter of a book, entitled Statistical Learning in Actuarial Science. The chapter should be based on R functions, and we wanted to reproduce some outputs he previously obtained with SAS. The good thing is that even complex functions (logistic regression, regression trees, etc) produce the same kind of outputs....

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Veterinary Epidemiologic Research: Count and Rate Data – Poisson Regression and Risk Ratios

May 10, 2013
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Veterinary Epidemiologic Research: Count and Rate Data – Poisson Regression and Risk Ratios

As noted on paragraph 18.4.1 of the book Veterinary Epidemiologic Research, logistic regression is widely used for binary data, with the estimates reported as odds ratios (OR). If it’s appropriate for case-control studies, risk ratios (RR) are preferred for cohort studies as RR provides estimates of probabilities directly. Moreover, it is often forgotten the assumption

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Spatial Critter Swarming Simulation

May 10, 2013
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Spatial Critter Swarming Simulation

# I am interested in how small bits of individualized instructions can create collective action.# In this simulation I will give a single instruction to each individual in the swarm.# Choose another individual who is not too close, then accelerate towards that individual.# I also control momentum causing the previous movement and direction to...

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A guide to speeding up R code

May 10, 2013
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Noam Ross recently shared a very useful guide to speeding up your R code. Get a bigger computer (for example, renting an instance on the Amazon cloud for a few cents an hour) Use parallel programming techniques Using the R byte-compiler Profiling and benchmarking your code Using high-performance packages (like xts, for time series) And lastly, rewriting your code...

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Tutorials on git/github and GNU make

May 10, 2013
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Tutorials on git/github and GNU make

If you’re not using version control, you should be. Learn git. If you’re not on github, you should be. That’s real open source. To help some colleagues get started with git and github, I wrote a minimal tutorial. There are lots of git and github resources available, but I thought I’d give just the bare

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Using Interactive D3.js charts from within Tiki with rNVD3

May 10, 2013
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Using Interactive D3.js charts from within Tiki with rNVD3

I've recently managed to reproduce my first charts using the nice package rNVD3 from Ramnath Vaidyanathan: https://github.com/ramnathv/rNVD3 This rNVD3 package uses NVD3, which provides re-usable charts with d3.js, without taking away the power that...

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Using Interactive D3.js charts from within Tiki with rNVD3

May 10, 2013
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Using Interactive D3.js charts from within Tiki with rNVD3

I've recently managed to reproduce my first charts using the nice package rNVD3 from Ramnath Vaidyanathan: https://github.com/ramnathv/rNVD3 This rNVD3 package uses NVD3, which provides re-usable charts with d3.js, without taking away the power that...

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Bubble sort implemented in pure R

May 10, 2013
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Bubble sort implemented in pure R

Please note that this is programming I purely did for the learning experience. The pure R bubble sort implemented in this post is veeeeery slow for two reasons: Interpreted code with lots of iteration is very slow. Bubble sort is… See more ›

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Package intergraph goes 2.0

May 9, 2013
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Yesterday I submitted a new version (marked 2.0-0) of package ‘intergraph’ to CRAN. There are some major changes and bug fixes. Here is a summary: The package supports “igraph” objects created with ‘igraph’ version 0.6-0 and newer (vertex indexing starting from 1, not 0) only! Main functions for converting network data between object classes “igraph”

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Medicare Provider Charge Data – How Are Things in Spokane?

May 9, 2013
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Medicare Provider Charge Data – How Are Things in Spokane?

Disclosure: I am not a health care professional, but just some one interested in playing with data and ways to represent them. I am not going to interpret findings here, but will make a remark or two about how to interpret them from the few graphs...

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What’s Next

May 9, 2013
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The last two weeks have been full of changes for me. For those who’ve been asking about what’s next, I thought I’d write up a quick summary of all the news. (1) I successfully defended my thesis this past Monday. Completing a Ph.D. has been a massive undertaking for the past five years, and it’s

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How R Grows – not so fast

May 9, 2013
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How R Grows – not so fast

I have had some work on CRAN stats on the back-burner but the recent article How R Grows tempted me to push it up the list In the interim, I have a couple of comments on Joseph Rickert`s article. Although the body of the article refers to packages either created or updated in a time

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R is His Friend

May 9, 2013
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Marcus Beck has a nice (& relatively new) blog called R is My Friend. You can guess that his posts relate to the use of R.I particularly liked his piece on the use of the XML package in R to mine data from the internet; and his post on using the integrate...

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Trevor Hastie presents glmnet: lasso and elastic-net regularization in R

May 9, 2013
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Trevor Hastie presents glmnet: lasso and elastic-net regularization in R

by Joseph Rickert Even a casual glance at the R Community Calendar shows an impressive amount of R user group activity throughout the world: 45 events in April and 31 scheduled so far for May. New groups formed last month in Knoxville, Tennessee (The Knoxville R User Group: KRUG) and Sheffield in the UK (The Sheffield R Users). An...

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Omni test for statistical significance

May 9, 2013
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Omni test for statistical significance

In survey research, our datasets nearly always comprise variables with mixed measurement levels – in particular, nominal, ordinal and continuous, or in R-speak, unordered factors, ordered factors and numeric variables. Sometimes it is useful to be able to do blanket tests of one set of variables (possibly of mixed level) against another without having to

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Reading an R file from GitHub

Reading an R file from GitHub

Lets say that I want to read in this R file from GitHub into R. The first thing you have to do is locate the raw file. You can do so by clicking on the Raw button in GitHub. In this case it’s https://raw.github.com/lcolladotor/ballgownR-devel/master/ballgownR/R/infoGene.R One would think that using source() would work, but it doesn’t as shown below: source("https://raw.github.com/lcolladotor/ballgownR-devel/master/ballgownR/R/infoGene.R") ##...

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Version 0.9 of timeline on CRAN

May 9, 2013
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Version 0.9 of timeline on CRAN

The initial version of the timeline package has been released to CRAN. This package provides creates timeline plots using ggplot2 in a style similar to Preceden. I would considered this beta quality as there are more features I would like to add but has enough functionality to possibly be useful to others. install.packages('timeline',repos='http://cran.r-project.org') require(timeline) data(ww2) timeline(ww2, ww2.events, event.spots=2, event.label='', event.above=FALSE) Timeline...</p><p><a href=Read more »

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