Statistics ANOVA Experimental design Miscellaneous: Difference between revisions
Jump to navigation
Jump to search
imported>Scott No edit summary |
imported>Scott No edit summary |
||
| Line 1: | Line 1: | ||
:[[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. | |||
:[[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. | ||
Revision as of 08:21, 12 September 2011
- anovadoe - Function to perform ANOVA for 2^k factorial model X, Y data.
- 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)