Statistics ANOVA Experimental design Miscellaneous: Difference between revisions
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:[[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. | |||
:[[factdes]] - Full factorial design of experiments. | :[[factdes]] - Full factorial design of experiments. | ||
:[[ffacdes1]] - Fractional factorial design of experiments. | :[[ffacdes1]] - Fractional factorial design of experiments. | ||
Revision as of 12:29, 24 September 2010
- 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.
- 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).
- stdsslct - Selects data subsets (often for use in standardization).
- ttestp - Evaluates t-distribution and its inverse.
(Sub topic of Categorical_Index)