Genstat has wide range of facilities to support the six-sigma approach to quality improvement. It can display many different types of control chart.
SPCCHART |
plots c or u charts representing numbers of defective items |
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SPCUSUM |
prints CUSUM tables for controlling a process mean |
SPEWMA |
plots exponentially weighted moving-average control charts |
SPPCHART |
plots p or np charts for binomial testing for defective items |
SPSHEWHART |
plots control charts for mean and standard deviation or range |
It can test for Normality, display Pareto charts and calculate capability statistics.
NORMTEST |
performs tests of univariate and/or multivariate normality |
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SPCAPABILITY |
calculates capability statistics |
TABSORT |
sorts tables to put margins are in ascending or descending order for display as a Pareto chart |
It also provides full statistical backup for wider-ranging investigations. The list below highlights some of the commands that may be useful.
AFRESPONSESURFACE |
uses the BLKL algorithm to construct response-surface designs |
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AGBOXBEHNKEN |
generates Box-Behnken designs |
AGCENTRALCOMPOSITE |
generates central composite designs |
AGDESIGN |
selects from a set of standard designs including factorials with interactions confounded with blocks |
AGFRACTION |
generates fractional factorial designs |
AGMAINEFFECT |
generates designs to estimate main effects of two-level factors (Plackett-Burman designs) |
A2WAY |
performs analysis of variance of a balanced or unbalanced design with up to two treatment factors |
ANOVA |
analyses y-variates by analysis of variance according to the model defined by earlier BLOCKSTRUCTURE, COVARIATE, and TREATMENTSTRUCTURE statements |
AGRAPH |
plots one- or two-way tables of means from ANOVA |
APLOT |
plots residuals from an ANOVA analysis |
AMCOMPARISON |
performs pairwise multiple comparison tests for ANOVA means |
AUNBALANCED |
performs analysis of variance for unbalanced designs |
AUGRAPH |
plots tables of means from AUNBALANCED |
FIT |
fits a linear, generalized linear, generalized additive, or generalized nonlinear model |
FITCURVE |
fits a standard nonlinear regression model |
FITNONLINEAR |
fits a nonlinear regression model or optimizes a function |
FKEY |
forms design keys for balanced designs with several error terms, allowing for confounded and aliased treatments |
REML |
fits an unbalanced linear mixed model and estimates variance components |
RQUADRATIC |
fits a quadratic surface and estimates its stationary point |
YTRANSFORM |
estimates the parameter lambda from various single-parameter transformations, includling power (Box-Cox), modulus, folded power, Guerrero-Johnson, Aranda-Ordaz and power logit |