Statistics ANOVA Experimental design Miscellaneous: Difference between revisions
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:[[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. | ||
:[[doegen]] - Generate a Design of Experiments (DOE) DataSet object. | |||
:[[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. | ||
Revision as of 09:35, 3 September 2011
- anova1w - One-way analysis of variance.
- anova2w - Two-way analysis of variance.
- corrmap - Correlation map with variable grouping.
- cov_cv - Estimation of a regularized inverse covariance matrix.
- distslct - Selects samples on outside of data space.
- doegen - Generate a Design of Experiments (DOE) DataSet object.
- 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.
- ffacdes1 - Fractional factorial design of experiments.
- ftest - F test and inverse F test statistic.
- 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)