The package ‘pmCIA’ contains functions related to the spasre multiple co-inertia analysis (pmCIA). This package provides functions that conduct spasre multiple CIA and its extension to incorporate the structural information among variables. Also, it provides a function generating an informative plot.
In this tutorial, we conduct two data analysises, one is using a synthetic data contained in the package , and the other is using a real data contained in the package . The synthetic dataset in the package contains 5 monte carlo samples and true loading vectors used for generating monte carlo samples. This synthetic data does not have class information of samples, all samples are generated from the one same class. A real data contained in the package is NCI60 cell line data, four gene expression datasets generated from different platforms. NCI60 data are generated from 60 cell lines of nine cancer cells, which means nine different cancers information can be used as class information. More details about the data can be found in the help page of the package .