Statistics ANOVA Experimental design Miscellaneous: Difference between revisions

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:[[anova1w]] - One-way analysis of variance.
:[[anova1w]] - One-way analysis of variance.
:[[anova2w]] - Two-way analysis of variance.
:[[anova2w]] - Two-way analysis of variance.
:[[anovadoe]] - Function to perform ANOVA for 2^k factorial model X, Y data.
:[[boxbehnken]] - Create a Box-Behnken Design of Experiments.
:[[ccdface]] - Create a Face-Centered Central Composite Design of Experiments.
:[[ccdsphere]] - Create a Spherical Central Composite Design of Experiments.
:[[corrmap]] - Correlation map with variable grouping.
:[[corrmap]] - Correlation map with variable grouping.
:[[cov_cv]] - Estimation of a regularized inverse covariance matrix.
:[[cov_cv]] - Estimation of a regularized inverse covariance matrix.
:[[distslct]] - Selects samples on outside of data space.
:[[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.
:[[doptimal]] - Selects samples based on D-Optimal criteria.
:[[durbin_watson]] - Criterion for measure of continuity.
:[[durbin_watson]] - Criterion for measure of continuity.
:[[exteriorpts]] - Selects samples on outside of data space after normalizing data.
:[[exteriorpts]] - Selects samples on outside of data space after normalizing data.
:[[factdes]] - Full factorial design of experiments.
:[[factdes]] - Full factorial design of experiments.
:[[fitcircle]] -Fits circles (and spheres) to x,y (and z) data.
:[[ffacconfusion]] - Generates confusion table for a fractional factorial DOE.
:[[ffacdes1]] - Fractional factorial design of experiments.
:[[ffacdes1]] - Fractional factorial design of experiments.
:[[ftest]] - F test and inverse F test statistic.
:[[ftest]] - F test and inverse F test statistic.
:[[halfnormplot]] - Produce Half-Normal or Normal plot from DOE dataset object.
:[[kennardstone]] - Select a subset of samples from a data set by the Kennard-Stone algorithm.
:[[percentile]] - Finds percentile point (similar to MEDIAN).
:[[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).
:[[stdsslct]] - Selects data subsets (often for use in standardization).
:[[ttestp]] - Evaluates t-distribution and its inverse.
:[[ttestp]] - Evaluates t-distribution and its inverse.
   
   
(Sub topic of [[Categorical_Index|Categorical_Index]])
(Sub topic of [[Categorical_Index|Categorical_Index]])

Latest revision as of 10:52, 14 October 2022

anova1w - One-way analysis of variance.
anova2w - Two-way analysis of variance.
anovadoe - Function to perform ANOVA for 2^k factorial model X, Y data.
boxbehnken - Create a Box-Behnken Design of Experiments.
ccdface - Create a Face-Centered Central Composite Design of Experiments.
ccdsphere - Create a Spherical Central Composite Design of Experiments.
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.
fitcircle -Fits circles (and spheres) to x,y (and z) data.
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.
kennardstone - Select a subset of samples from a data set by the Kennard-Stone algorithm.
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)