5021 search results for "git"

Shapefile Polygons Plotted on Google Maps Using ggmap in R – Throw some, throw some STATS on that map…(Part 2)

February 20, 2014
By
Shapefile Polygons Plotted on Google Maps Using ggmap in R – Throw some, throw some STATS on that map…(Part 2)

Well it’s been long enough since my last post. Had a few things on my plate (vacation, holidays, another holiday, some more holidays, and quite a lot of research). March is almost here but the good news is that I have plenty of work stored up to start serving out some intuitive approaches for learning

Read more »

Using Twitter as a Data Source For Monitoring Password Dumps

February 20, 2014
By
Using Twitter as a Data Source For Monitoring Password Dumps

I shot a quick post over at the Data Driven Security blog explaining how to separate Twitter data gathering from R code via the Ruby t (github repo) command. Using t frees R code from having to be a Twitter processor and lets the analyst focus on analysis and visualization, plus you can use t

Read more »

Function to Simplify Loading and Installing Packages

February 20, 2014
By

One of the more tedious parts of working with R is maintaining my R library. To make my R scripts reproducible and sharable, I will install packages if they are not available. For example, the top of my R scripts tend to look something like this: if(!require(devtools) | !require(ggplot2) | !require(psych) | !require(lme4) | !require(benchmark)) { install.packages(c('devtools','ggplot2','psych','lme4','benchmark')) } This has worked fine for...

Read more »

dvn – Sharing Reproducible Research from R

February 20, 2014
By

Reproducible research involves the careful, annotated preservation of data, analysis code, and associated files, such that statistical procedures, output, and published results can be directly and fully replicated. As the push for reproducible research has grown, the R community has responded with an increasingly large set of tools for engaging in reproducible research practices (see, for example, the

Read more »

R in Insurance 2014 Conference Poster

February 20, 2014
By
R in Insurance 2014 Conference Poster

Here is the poster for the 2nd R in Insurance conference on Monday 14 July 2014 at Cass Business School in London:R in Insurance 2014 conference poster. Download PDF versionImportant dead lines to keep in mind:Abstract submissions: 28 March 2014Early b...

Read more »

Web-Scraping: the Basics

February 19, 2014
By

Slides from the first session of my course about web scraping through R: Web scraping for the humanities and social sciencesIncludes an introduction to the paste function, working with URLs, functions and loops. Putting it all together we fetch data in...

Read more »

R: Fun with surf3D function

February 19, 2014
By
R: Fun with surf3D function

There is one package that I've been longing. A package that will give me the power to manipulate and do any 3D stuffs in R. I tried persp and wireframe, but I find them difficult to use especially on complicated mathematical functions, like doing param...

Read more »

New features in the most recent taxize update, v0.2

February 19, 2014
By
New features in the most recent taxize update, v0.2

We just released a new version of taxize - version 0.2.0. This release contains a number of new features, and bug fixes. Here is a run down of some of the changes: First, install and load taxize install.packages("rgbif") library(taxize) New things New functions: class2tree Sometimes you just want to have a visual of the taxonomic relationships among taxa. If you don't know how to build...

Read more »

Improved filtfilt() for R

February 19, 2014
By
Improved filtfilt() for R

The filtfilt function in R is supposedly based on the Matlab one, but it does quite badly on endpoints. My goal here is to explore alternatives, with a focus on the Octave method. NOTE: I may also try scipy for hints.) The best method of dealing with endpoints is still an open question. Matlab does one thing, Octave...

Read more »

PISA 2012, occupations and the shiny app

February 19, 2014
By
PISA 2012, occupations and the shiny app

OECD has just released a new PISA in Focus titled “Do parents’ occupations have an impact on student performance?”. A shiny app is an add-on to this article, you can open it from this link: http://beta.icm.edu.pl/PISAoccupations2012/. The app allows for comparisons of average performance in mathematics/reading/science of 15-years old pupils in PISA study across different

Read more »