Statistics ANOVA Experimental design Miscellaneous and Variable Selection: Difference between pages

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:[[anova1w]] - One-way analysis of variance.
:[[calibsel]] - Statistical procedure for variable selection.
:[[anova2w]] - Two-way analysis of variance.
:[[fullsearch]] - Exhaustive Search Algorithm for small problems.
:[[anovadoe]] - Function to perform ANOVA for 2^k factorial model X, Y data.
:[[gaselctr]] - Genetic algorithm for variable selection with PLS.
:[[boxbehnken]] - Create a Box-Behnken Design of Experiments.
:[[genalg]] - Genetic Algorithm for Variable Selection.
:[[ccdface]] - Create a Face-Centered Central Composite Design of Experiments.
:[[genalgplot]] - Plot GA results using selected variable plot, color-coded by RMSECV.
:[[ccdsphere]] - Create a Spherical Central Composite Design of Experiments.
:[[ipls]] - Interval PLS variable selection.
:[[corrmap]] - Correlation map with variable grouping.
:[[cov_cv]] - Estimation of a regularized inverse covariance matrix.
:[[distslct]] - Selects samples on outside of data space.
:[[doeeffectsplot]] - Create main effect or interaction plot, incl LSD bars.
:[[doegen]] - Generate a Design of Experiments (DOE) DataSet object.
:[[doegui]] - Design of Experiments tool.
:[[doeinteractions]] - Calculates interaction terms of a raw DOE matrix.
:[[doerunsheet]] - Create a doe run sheet.
:[[doescale]] - Convert coded DOE to scaled DOE or scaled back to coded.
:[[doptimal]] - Selects samples based on D-Optimal criteria.
:[[durbin_watson]] - Criterion for measure of continuity.
:[[exteriorpts]] - Selects samples on outside of data space after normalizing data.
:[[factdes]] - Full factorial design of experiments.
:[[ffacconfusion]] - Generates confusion table for a fractional factorial DOE.
:[[ffacdes1]] - Fractional factorial design of experiments.
:[[ftest]] - F test and inverse F test statistic.
:[[halfnormplot]] - Produce Half-Normal or Normal plot from DOE dataset object.
:[[percentile]] - Finds percentile point (similar to MEDIAN).
:[[reducennsamples]] - Selects a subset of samples by removing nearest neighbors.
:[[stdsslct]] - Selects data subsets (often for use in standardization).
:[[ttestp]] - Evaluates t-distribution and its inverse.
   
   
(Sub topic of [[Categorical_Index|Categorical_Index]])
(Sub topic of [[Categorical_Index|Categorical_Index]])

Revision as of 16:40, 2 September 2008

calibsel - Statistical procedure for variable selection.
fullsearch - Exhaustive Search Algorithm for small problems.
gaselctr - Genetic algorithm for variable selection with PLS.
genalg - Genetic Algorithm for Variable Selection.
genalgplot - Plot GA results using selected variable plot, color-coded by RMSECV.
ipls - Interval PLS variable selection.

(Sub topic of Categorical_Index)