Statistics ANOVA Experimental design Miscellaneous: Difference between revisions
Jump to navigation
Jump to search
imported>Jeremy (Importing text file) |
imported>Donal No edit summary |
||
| Line 2: | Line 2: | ||
:[[anova2w]] - Two-way analysis of variance. | :[[anova2w]] - Two-way analysis of variance. | ||
:[[corrmap]] - Correlation map with variable grouping. | :[[corrmap]] - Correlation map with variable grouping. | ||
:[[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. | ||
:[[doptimal]] - Selects samples based on D-Optimal criteria. | :[[doptimal]] - Selects samples based on D-Optimal criteria. | ||
Revision as of 16:08, 2 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.
- 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)