Quality Control for Statistical Graphics: ThegraphicsQCPackage forR

Quality Control for Statistical Graphics: The graphicsQC Package for R

An important component of quality control for statistical graphics software is the ability not only to test that code runs without errors, but also to test that code produces the right result. The simple way to test for the correct result in graphical output is to test whether a test file differs from a control file; this is effective in determining whether a difference exists. However, the tes...

Project highlight: quality graphics for statistical summaries

The specific objective of our dgQG research has been to develop and assess quality graphics for federal statistical summaries. The goal has been to develop methods for generating quality graphics that facilitate exploration by agency users evaluating data quality and looking for emergent trends, decision making by public policy makers, and communication of statistical summaries to the public. T...

Statistical Methods for Quality Control

Statistical Methods for Quality Control

Statistical Graphics