Six Sigma Tools for Quality and Process Improvement
Emilio Lopez, Andres Redchuk, Javier M.Moguerza
This package contains functions and utilities to perform
Statistical Analysis for Six Sigma methodology. Through its
outline DMAIC (Define, Measure, Analyze, Improve, Control), you
can manage several Quality Management studies. The current
version includes Gage R&R Study, Confidence Interval,
Cause-and-effect diagram and Process Map. There will be new
functions very soon for Capability Analysis, Control Charts,
Reliability, OC Curves, Regression and Design of Experiments.
See ?SixSigma for an Introduction.

Emilio Lopez Cano, Andres Redchuk, Javier M.Moguerza
This package contains functions and utilities to perform
Statistical Analysis for Six Sigma methology. Through its
outline DMAIC (Define, Measure, Analyze, Improve), you can
manage several Quality Management studies. The current version
includes Gage R&R Study, Confidence Interval, Cause-and-effect
diagram and Process Map. There will be new functions very soon
for Capability Analysis, Control Charts, Reliability, OC
Curves, Regression and Design of Experiments. See ?SixSigma for
an Introduction.

This package contains functions and utilities to perform
Statistical Analysis for Six Sigma methodology. Through its
outline DMAIC (Define, Measure, Analyze, Improve, Control), you
can manage several Quality Management studies. The current
version includes Capability Analysis, Gage R&R Study,
Confidence Interval, Cause-and-effect diagram and Process Map.
There will be new functions very soon for Capability Analysis,
Control Charts, Reliability, OC Curves, Regression and Design
of Experiments. See ?SixSigma for an Introduction.
R(>= 2.11), lattice, grid, ggplot2, nortest

Emilio Lopez-Cano, Andres Redchuk, Javier M.Moguerza

Emilio L. Cano, Andres Redchuk, Javier M. Moguerza
This package contains functions and utilities to perform Statistical Analysis in the Six Sigma way. Through the DMAIC cycle (Define, Measure, Analyze, Improve, Control), you can manage several Quality Management studies: Gage R&R, Capability Analysis, Control Charts, Reliability, Regression and Design of Experiments.