Interactive graphics for functional data analyses

Exploratory graphics for functional data

We survey some graphical tools for visualizing large sets of functional data represented by smooth curves. These graphical tools include the phase-plane plot, singular value decomposition plot, rainbow plot, functional variants of the bagplot and the highest density region boxplot. The latter two techniques utilize the first two robust principal component scores, Tukey’s halfspace location dept...

Glimma: Interactive Graphics for RNA-seq Analyses User’s Guide

Exploratory Graphics for Functional Actigraphy Data

Actigraphy is an emerging technology for measuring a patient’s overall activity level nearly continuously over time. An actigraph is a watch–like device attached to the wrist or ankle that uses an accelerometer to measure movement every minute, or even more often. Actigraphy data can best be described as functional data. In this paper, we will present exploratory graphical displays for various ...

SeqPlots - Interactive software for exploratory data analyses ,

Experiments involving high-throughput sequencing are widely used for analyses of chromatin function and gene expression. Common examples are the use of chromatin immunoprecipitation for the analysis of chromatin modifications or factor binding, enzymatic digestions for chromatin structure assays, and RNA sequencing to assess gene expression changes after biological perturbations. To investigate...

Interactive Graphics: Exemplified with Real Data Applications

Graphics are widely used in modern applied statistics because they are easy to create, convenient to use, and they can present information effectively. Static plots do not allow interacting with graphics. User interaction, on the other hand, is crucial in exploring data. It gives flexibility and control. One can experiment with the data and the displays. One can investigate the data from differ...