| Name : R-qualityTools
| |
| Version : 1.55
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.13
| Date : 2024-06-14 11:32:16
|
| Group : Development/Libraries/Other
| Source RPM : R-qualityTools-1.55-lp153.2.13.src.rpm
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| Size : 2.23 MB
| |
| Packager : (none)
| |
| Summary : Statistical Methods for Quality Science
|
Description :
Contains methods associated with the Define, Measure, Analyze, Improve
and Control (i.e. DMAIC) cycle of the Six Sigma Quality Management
methodology.It covers distribution fitting, normal and non-normal
process capability indices, techniques for Measurement Systems Analysis
especially gage capability indices and Gage Repeatability (i.e Gage RR)
and Reproducibility studies, factorial and fractional factorial designs
as well as response surface methods including the use of desirability
functions. Improvement via Six Sigma is project based strategy that
covers 5 phases: Define - Pareto Chart; Measure - Probability and
Quantile-Quantile Plots, Process Capability Indices for various
distributions and Gage RR Analyze i.e. Pareto Chart, Multi-Vari Chart,
Dot Plot; Improve - Full and fractional factorial, response surface and
mixture designs as well as the desirability approach for simultaneous
optimization of more than one response variable. Normal, Pareto and
Lenth Plot of effects as well as Interaction Plots; Control - Quality
Control Charts can be found in the \'qcc\' package. The focus is on
teaching the statistical methodology used in the Quality Sciences.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
