A while ago I wanted to run a quantitative genetic analysis where the performance of genotypes in each site was considered as a different trait. If you think about it, with 70 sites and thousands of genotypes one is trying … Continue reading →
Monthly Archives: May 2012
PubMed publications in 2011 by 202 world countries: who’s the winner?
Which country had the most PubMed citations in 2011? To find out I used R statistical software to analyze the affiliation of 986 427 articles.
Waterfall charts in style of The Economist with R
Waterfall charts are sometimes quite helpful to illustrate the various moving parts in financial data, in particular where I have positive and negative values like a profit and loss statement (P&L). However, they can be a bit of a pain to produce in Ex...
Presentations of the first Milano R net meeting
Welcome presentation Andrea Spanò, Partner at Quantide (download PDF, 0.2 MB) Past, present and future of R Stefano Iacus, Department of Economics, Business and Statistics, University of Milan and R Development Core Team (download PDF, 7.3 MB) R and Operational … Continue reading →
Portfolio diversity
How many baskets are your eggs in? Meucci diversity Attilio Meucci directly addresses the adage: Don’t put all your eggs in one basket. His idea is to think of your portfolio as a set of subportfolios that are each uncorrelated with the rest. If your portfolio can be configured to have a lot of roughly … Continue reading...
Kurtosis Interpretation
When you google “Kurtosis”, you encounter many formulas to help you calculate it, talk about how this measure is used to evaluate the “peakedness” of your data, maybe some other measures to help you do so, maybe all of a … Continue reading →
playitbyr 0.2-1: data through sound, now with layers, facets, and more pleasure
The recent Sonification Handbook has a chapter devoted to exploratory data analysis using sound. With some help from Sam Ferguson, one of the chapter's authors, I've made it easy to implement those techniques using R with playitbyr.
clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
Increasing quantitative data generated from transcriptomics and proteomics require integrative strategies for analysis. Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently,...
ninety two-minute r tutorial videos
ninety two-minute r tutorial videos now posted. three hours of ultra-concentrated r.new videos include topics like:setting your preferences (options) (Rprofile.site) random number generation (runif) (rnorm) (set.seed) (rbinom)creating and accessi...
Online resources for handling big data and parallel computing in R
by Yanchang Zhao, RDataMining.com Compared with many other programming languages, such as C/C++ and Java, R is less efficient and consumes much more memory. Fortunately, there are some packages that enables parallel computing in R and also packages for processing … Continue reading →
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
