data_heatmap

data

show_color_bar

title

xlab

ylab

<p>Visualization of the RaJIVE decomposition, it shows heatmaps of the decomposition obtained by RaJIVE</p>

A robust alternative to the aJIVE (angle based Joint and Individual Variation Explained) method (Feng et al 2018: <doi:10.1016/j.jmva.2018.03.008>) for the estimation of joint and individual components in the presence of outliers in multi-source data. It decomposes the multi-source data into joint, individual and residual (noise) contributions. The decomposition is robust to outliers and noise in the data. The method is illustrated in Ponzi et al (2021) <arXiv:2101.09110>.

Erica Ponzi

RaJIVE

Robust Angle Based Joint and Individual Variation Explained

Abhik Ghosh

data_heatmap function

Decomposition Heatmaps — data_heatmap

Decomposition Heatmaps

data_heatmap: Decomposition Heatmaps

Description

Usage

Arguments