January 2014

Quilt plots. Like heat maps, only…heat maps

January 15, 2014 | nsaunders

Stephen tweets: Quilt Plots: A Simple Tool for the #Visualisation of Large Epidemiological Data buff.ly/1doSx4X— Stephen Rudd (@SAGRudd) January 15, 2014 Quilt plots. Sounds interesting. The link points to a short article in PLoS ONE, containing a table and a figure. Here is Figure 1. If you looked at that ... [Read more...]

Analyzing the DVI Indicator – Entry Power

January 15, 2014 | ivannp

In a recent post, I did some analysis of the efficiency of the DVI indicator. That was pretty much all I had to say back then, but that quickly changed. While reading Building Reliable Trading Systems, by Keith Fitschen I stumbled upon an alternative way to visualize entry efficiency – the ... [Read more...]

Popularity Contest

January 15, 2014 | klr

Although I am sure most of the bloggers that discuss R on R-bloggers are not all that concerned with popularity, I thought it would be interesting to analyze (with R and rCharts, of course) the popularity of these bloggers using Feedly’s API.   After building the chart, I got to ... [Read more...]

R programming tips

January 15, 2014 | Avraham Adler

After reinventing the wheel a few times, I decided it would be a good idea to keep a list of programming tips or tricks that I find useful, so I started a static page here to keep these tips. It will begin rather haphazardly, but if it grows, I will ... [Read more...]

USDA Textural Soil Classification

January 15, 2014 | Nicholas Hamilton

Included in the next version (1.0.3.1) of ggtern, will be a new data set, taken from the USDA Textural Soil Classification[1] which we can use to reproduce the original diagram published by the United Stated Department of Agriculture. Firstly let us load the packages and data: Reconstructing the USDA’s Original ...
[Read more...]

Tips & Tricks 1: Averaging Data By Group

January 15, 2014 | Emma Sherratt

I thought it would be helpful to new users of Geomorph and R to discuss some tips and tricks for manipulating morphometric datasets in R. So I am starting a series called "Tips & Tricks". These will be published as I think of them, and assume you h... [Read more...]

Fast-track publishing using knitr: table mania (part IV)

January 15, 2014 | Max Gordon

Fast-track publishing using knitr is a short series on how I use knitr to speedup publishing in my research. While illustrations (previous post) are optional, tables are not, and this fourth article is therefore devoted to tables. Tables through knitr is probably one of the most powerful fast-track publishing tools, ... [Read more...]

Computing and visualizing LDA in R

January 15, 2014 | thiagogm

As I have described before, Linear Discriminant Analysis (LDA) can be seen from two different angles. The first classify a given sample of predictors to the class with highest posterior probability . It minimizes the total probability of misclassification. To compute it uses Bayes’ rule and assume that follows a Gaussian ... [Read more...]

Cabelling calculations

January 15, 2014 | Dan Kelley Blog/R

Abstract R code is provided in aide of laboratory demonstration of cabelling. Introduction Setting up a cabelling experiment requires creating two watermasses of equal density, and if only S and T can be measured, that means calculating densities. Using a TS diagram and graphical interpolation is one approach to that ... [Read more...]

Butterworth filter overshoot

January 15, 2014 | Dan Kelley Blog/R

Introduction Butterworth filters with order other than 1 have an overshoot phenomenon that can be problematic in some cases. For example, if smoothing is used on an estimate of kinetic energy, overshoots might yield negative values that are nonphysical. This post simply illustrates this with made-up data that the reader can ... [Read more...]

Colourizing a trajectory

January 15, 2014 | Dan Kelley Blog/R

Introduction In Oceanography it can be useful to use colour to display z values along an (x,y) trajectory. For example, CTD data might be displayed in this way, with x being distance along track, y being depth, and z being temperature. This post shows how one might do this. ... [Read more...]

How Netflix reverse-engineered Hollywood

January 14, 2014 | tlfvincent

I was recently made aware of this great article by Alexis C. Madrigal, senior editor at the Atlantic. Although the underlying analysis he performs is relatively straightforward, it is more the fact that he actually thought of doing it…and went through with it! It is a relatively long read ... [Read more...]

Where the whisky flavor profile data came from

January 14, 2014 | David Smith

Our crack-shot R trainer Luba Gloukhov generated a spirited (pun intended!) discussion from her post K-means Clustering 86 Single Malt Scotch Whiskies, with mentions of her analysis at FlowingData and Reddit amongst others. Other bloggers took a look at the data too, notably Christopher Ingraham who created this beautiful infographic of ... [Read more...]

Cellular Automata: The Beauty Of Simplicity

January 14, 2014 | aschinchon

I am strangely attracted to you (Cole Porter) Imagine a linear grid that extends to the left and right. The grid consists of cells that may be only one of these two states: On or Off. At each time step, the next state of a cell is computed as a ... [Read more...]

Sampling design combinatorics

January 14, 2014 | Florian Hartig

A colleague had a question about sampling design and we didn’t find a good answer … so, if you like to solve riddles, you might like that one: We want to distribute n=3 plant species across k=12 x m=12 grid cells, in a way that no individual has another individual ... [Read more...]

Load PostGIS geometries in R without rgdal

January 14, 2014 | Lee Hachadoorian

As I said in my last post, rgdal lacks some of the features of GDAL, including the ability to subset columns and rows the source layer, and I demonstrated a workaround. The workaround relied upon the RPostgreSQL package, and this raises a question: Is it possible to transfer geographic data ... [Read more...]
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