cocoreg is an R-package for extracting shared variation in collections of datasets using regression models. The current stable release is available in CRAN:
Using regression makes extraction of shared variation in multiple datasets easy: Jussi Korpela, Andreas Henelius, Lauri Ahonen, Arto Klami, Kai Puolamäki, Data Mining and Knowledge Discovery, 2016. URL: http://dx.doi.org/10.1007/s10618-016-0465-y
The authors' version is available in this repository as cocoreg_plain.pdf. The final publication will be available at link.springer.com.
library(reshape) #importing from namespace does not work as expected
ggcompare_dclst(list(shared = shared.by.all.df, cocoreg = ccr$data))
Overview
The most important functions in cocoreg are:
cocoreg() which extracts shared variation from a collection of datasets
Functions to visualize output such as ggplot_dclst() and ggcompare_dclst() for lists of data collections, ggplot_dflst() for lists of data.frames (i.e. one data collection) and ggplot_df() for a single data.frame (a dataset)