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Author of Efficient R programming. R consultant with Jumping Rivers and Senior Statistics lecturer at Newcastle University.
efficientR. Efficient R programming: a book
738poweRlaw. This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Additionally, a goodness-of-fit based approach is used to estimate the lower cutoff for the scaling region.
112rprofile. My .Rprofile set-up
52efficient. The associated R package for Efficient R programming
48benchmarkme. Crowd sourced benchmarking
42roxygen2Comment. An Rstudio addin for adding and remove roygen2 comment
27travis-examples. R
23addinmanager. RStudio addin management made easy
19rtypeform. An R interface to the 'typeform' API.
16bmc-microarray. This repo contains the knitr code for the paper: Gillespie, C. S., et al, 2010. Analysing yeast time course microarray data using BioConductor: a case study using yeast2 Affymetrix arrays BMC Research Notes, 3:81.
12raddins. A collection of RStudio addins
8statslang. Slides and code for http://www.statslife.org.uk/events/events-calendar/eventdetail/284/-/statistical-computing-languages
8renamer. R
7In-silico-Systems-Biology. The latex and R code used the in stochastic simulation book chapter in "In silico Systems Biology: A systems-based approach to understanding biological processes".
5benchmarkme-data. R package containing data from past benchmarks
4dratTravis. Shell
4talks. A list of recent talks
3hybrid-pmcmc. Fortran
2minifyHTML. A binding the Javascript-based HTML compressor/minifier
2plmcmc. R
2riemann-manifold. TeX
1githubactions. My github actions playground. Will be deleted
1voltagefit. R
1expt_design. Code for Efficient construction of Bayes optimal designs for stochastic process models.
1plbayes. Code and data from the paper Estimating the number of casualties in the American Indian war: a Bayesian analysis using the power law distribution
1illumina-analysis. This repository contains the knitr/latex source, graphics and R code used in book chapter in Cockell, S, Bashton, M, Gillespie, CS. Bioconductor tools for microarray data analysis. In: Microarray Image and Data Analysis: Theory and Practice. CRC Press.
1abcpmcmc. R
1dotfiles. My dotfiles
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