Statistics ANOVA Experimental design Miscellaneous: Difference between revisions
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:[[ftest]] - F test and inverse F test statistic. | :[[ftest]] - F test and inverse F test statistic. | ||
:[[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]]) | ||
Revision as of 13:58, 30 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).
- 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)