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Software


simPH

Tools for simulating and graphing results from proportional hazards survival models.

Journal of Statistical Software paper describing motivation and examples: PDF


networkD3

Tools for creating D3 JavaScript directed network graphs from R (with JJ Allaire).


dpmr

The R package for creating and installing data packages that follow the Open Knowledge Foundation's Data Package Protocol.


dynsim

R implementation of dynamic simulations of autoregressive relationships (with Laron K Williams and Guy D Whitten).


repmis

A collection of miscellaneous tools for reproducible research with R.


DataCombine

R tools for making it easier to combine and clean data sets.



Miscellaneous Functions

My GitHub Gists; miscellaneous functions I've created to make my data analysis easier. They often get folded into larger packages.

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Popular posts from this blog

Dropbox & R Data

I'm always looking for ways to download data from the internet into R. Though I prefer to host and access plain-text data sets (CSV is my personal favourite) from GitHub (see my short paper on the topic) sometimes it's convenient to get data stored on Dropbox . There has been a change in the way Dropbox URLs work and I just added some functionality to the repmis R package. So I though that I'ld write a quick post on how to directly download data from Dropbox into R. The download method is different depending on whether or not your plain-text data is in a Dropbox Public folder or not. Dropbox Public Folder Dropbox is trying to do away with its public folders. New users need to actively create a Public folder. Regardless, sometimes you may want to download data from one. It used to be that files in Public folders were accessible through non-secure (http) URLs. It's easy to download these into R, just use the read.table command, where the URL is the file name

Slide: one function for lag/lead variables in data frames, including time-series cross-sectional data

I often want to quickly create a lag or lead variable in an R data frame. Sometimes I also want to create the lag or lead variable for different groups in a data frame, for example, if I want to lag GDP for each country in a data frame. I've found the various R methods for doing this hard to remember and usually need to look at old blog posts . Any time we find ourselves using the same series of codes over and over, it's probably time to put them into a function. So, I added a new command– slide –to the DataCombine R package (v0.1.5). Building on the shift function TszKin Julian posted on his blog , slide allows you to slide a variable up by any time unit to create a lead or down to create a lag. It returns the lag/lead variable to a new column in your data frame. It works with both data that has one observed unit and with time-series cross-sectional data. Note: your data needs to be in ascending time order with equally spaced time increments. For example 1995, 1996

A Link Between topicmodels LDA and LDAvis

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