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Name: Scott Ritchie
Type: User
Company: University of Cambridge
Location: Cambridge UK
Name: Scott Ritchie
Type: User
Company: University of Cambridge
Location: Cambridge UK
Scripts, data, and exercise solutions from the live coding portion of the 2014-12-08-combine-r Software Carpentry bootcamp
Template for Software Carpentry bootcamp site repository.
A minimal package for working with bigmemory in Rcpp
Parallel tools in R
Modified for bioinformatics in an Australian context
Bootstrap cis-QTL method that corrects for The Winner's Curse
Source code and software list for the study "Integrative analysis of the plasma proteome and polygenic risk of cardiometabolic diseases" on bioRxiv (doi: 10.1101/2019.12.14.876474)
R's data.table package extends data.frame:
Software Carpentry introduction to Git for novices.
A javascript bookmarklet for switching between a Github repository and its Github Pages site
R package to impute GlycA glycoproteins from serum NMR data in population studies
Template for remixable lessons.
A wrapper for liftOver for converting plink genotype data between different genome reference builds
R package containing functions for assessing the replication/preservation of network topology for weighted gene coexpression network modules in one or more independent datasets through permutation testing.
An R package containing a collection of tools for working with and visualising large networks.
Utilities for creating a progress bar that renders in when running in parallel.
Miscellaneous functions for supplementing the command line tool plink.
PrediXcan Project
Software Carpentry introduction to Python for novices using inflammation data.
R code for creating Manhattan plots and Q-Q plots for GWAS
Website for the R alpha bootcamp to be run on 2014-09-23 at the University of Melbourne.
Introduction to R for non-programmers using gapminder data.
Source code for the Rcpp Gallery website
Teaching materials used by the Research Bazaar
A collection of Rfast functions for data analysis. Note 1: The vast majority of the functions accept matrices only, not data.frames. Note 2: Do not have matrices or vectors with have missing data (i.e NAs). We do no check about them and C++ internally transforms them into zeros (0), so you may get wrong results. Note 3: In general, make sure you give the correct input, in order to get the correct output. We do no checks and this is one of the many reasons we are fast.
Software Carpentry introduction to the shell for novices.
R functions to split concatenated data, conveniently stack columns of data.frames, and conveniently reshape data.frames.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.