Statistics package: Difference between revisions
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| [https://gnu-octave.github.io/statistics/confusionmat.html confusionmat] | | [https://gnu-octave.github.io/statistics/confusionmat.html confusionmat] | ||
| Compute a confusion matrix for classification problems. | | Compute a confusion matrix for classification problems. | ||
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| [https://gnu-octave.github.io/statistics/ConfusionMatrixChart.html ConfusionMatrixChart] | |||
| Compute a ConfusionMatrixChart class object. | |||
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| [https://gnu-octave.github.io/statistics/cophenet.html cophenet] | | [https://gnu-octave.github.io/statistics/cophenet.html cophenet] | ||
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| [https://gnu-octave.github.io/statistics/pdist2.html pdist2] | | [https://gnu-octave.github.io/statistics/pdist2.html pdist2] | ||
| Compute pairwise distance between two sets of vectors. | | Compute pairwise distance between two sets of vectors. | ||
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| [https://gnu-octave.github.io/statistics/procrustes.html procrustes] | |||
| Procrustes Analysis. | |||
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| [https://gnu-octave.github.io/statistics/slicesample.html slicesample] | | [https://gnu-octave.github.io/statistics/slicesample.html slicesample] | ||
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! Function | ! Function | ||
! Description | ! Description | ||
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| [https://gnu-octave.github.io/statistics/cl_multinom.html cl_multinom] | |||
| Confidence level of multinomial portions. | |||
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| [https://gnu-octave.github.io/statistics/geomean.html geomean] | | [https://gnu-octave.github.io/statistics/geomean.html geomean] | ||
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=== In external packages === | === In external packages === | ||
<code>bootci</code>, <code>bootstrp</code> are implemented in the [https://gnu-octave.github.io/packages/statistics- | <code>bootci</code>, <code>bootstrp</code> are implemented in the [https://gnu-octave.github.io/packages/statistics-resampling statistics-resampling] package. | ||
=== Shadowing Octave core functions === | === Shadowing Octave core functions === | ||
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| binornd | | binornd | ||
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| [https://en.wikipedia.org/wiki/Joint_probability_distribution Bivariate] | | [https://en.wikipedia.org/wiki/Joint_probability_distribution Bivariate Normal] | ||
| bvncdf | | bvncdf | ||
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| [https://en.wikipedia.org/wiki/Joint_probability_distribution Bivariate Student's <i>t</i>] | |||
| bvtcdf | |||
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| mvnrnd | | mvnrnd | ||
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| [https://en.wikipedia.org/wiki/Multivariate_t-distribution Multivariate Student's | | [https://en.wikipedia.org/wiki/Multivariate_t-distribution Multivariate Student's <i>t</i>] | ||
| mvtcdf mvtcdfqmc | | mvtcdf mvtcdfqmc | ||
| mvtinv | | mvtinv | ||
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| ncfrnd | | ncfrnd | ||
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| [https://en.wikipedia.org/wiki/Noncentral_t-distribution Noncentral Student's | | [https://en.wikipedia.org/wiki/Noncentral_t-distribution Noncentral Student's <i>t</i>] | ||
| nctcdf | | nctcdf | ||
| nctinv | | nctinv | ||
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| stdnormal_rnd | | stdnormal_rnd | ||
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| [https://en.wikipedia.org/wiki/Student%27s_t-distribution Student's | | [https://en.wikipedia.org/wiki/Student%27s_t-distribution Student's <i>t</i>] | ||
| tcdf | | tcdf | ||
| tinv | | tinv | ||
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| [https://gnu-octave.github.io/statistics/chi2test.html chi2test] | | [https://gnu-octave.github.io/statistics/chi2test.html chi2test] | ||
| Perform a chi-squared test (for independence or homogeneity). | | Perform a chi-squared test (for independence or homogeneity). | ||
|- | |||
| [https://gnu-octave.github.io/statistics/correlation_test.html correlation_test] | |||
| Perform a correlation coefficient test whether two samples x and y come from uncorrelated populations. | |||
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| [https://gnu-octave.github.io/statistics/fishertest.html fishertest] | |||
| Fisher’s exact test. | |||
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| [https://gnu-octave.github.io/statistics/friedman.html friedman] | | [https://gnu-octave.github.io/statistics/friedman.html friedman] | ||
| Performs the nonparametric Friedman's test to compare column effects in a two-way layout. | | Performs the nonparametric Friedman's test to compare column effects in a two-way layout. | ||
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| https://gnu-octave.github.io/statistics/hotelling_t2test.html hotelling_t2test] | | [https://gnu-octave.github.io/statistics/hotelling_t2test.html hotelling_t2test] | ||
| Compute Hotelling's T^2 ("T-squared") test for a single sample or two dependent samples (paired-samples). | | Compute Hotelling's T^2 ("T-squared") test for a single sample or two dependent samples (paired-samples). | ||
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