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| <code>pkg install -forge statistics</code> | | <code>pkg install -forge statistics</code> |
| | |
| | == Clustering == |
| | |
| | == Data Manipulation == |
|
| |
|
| == Descriptive Statistics == | | == Descriptive Statistics == |
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Line 397: |
| </div> | | </div> |
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| |
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| == Development == | | == Experimental Design == |
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| |
|
| Follows an incomplete list of stuff missing in the statistics package to be matlab compatible. Bugs are not listed here, [https://savannah.gnu.org/bugs/?func=search&group=octave search] and [https://savannah.gnu.org/bugs/?func=additem&group=octave report] them on the bug tracker instead.
| | Functions available for computing design matrices. |
| | |
| | <div style="column-count:1;-moz-column-count:1;-webkit-column-count:1"> |
| | * fullfact |
| | * ff2n |
| | * x2fx |
| | </div> |
|
| |
|
| {{Note|this entire section is about the current development version. If a Matlab function is missing from the list and does not appear on the current release of the package, confirm that is also missing in the [https://sourceforge.net/p/octave/statistics/ development sources] before adding it.}}
| | == Model Fitting == |
|
| |
|
| === Missing functions ===
| | <div style="column-count:1;-moz-column-count:1;-webkit-column-count:1"> |
| <div style="column-count:4;-moz-column-count:4;-webkit-column-count:4"> | | * crossval |
| * ClassificationBaggedEnsemble | | * fitgmdist |
| * ClassificationDiscriminant
| |
| * ClassificationDiscriminant.fit
| |
| * ClassificationEnsemble
| |
| * ClassificationKNN
| |
| * ClassificationKNN.fit
| |
| * ClassificationPartitionedEnsemble
| |
| * ClassificationPartitionedModel
| |
| * ClassificationTree
| |
| * ClassificationTree.fit
| |
| * CompactClassificationDiscriminant
| |
| * CompactClassificationEnsemble
| |
| * CompactClassificationTree
| |
| * CompactRegressionEnsemble
| |
| * CompactRegressionTree
| |
| * CompactTreeBagger
| |
| * ExhaustiveSearcher
| |
| * GeneralizedLinearModel
| |
| * GeneralizedLinearModel.fit
| |
| * GeneralizedLinearModel.stepwise
| |
| * KDTreeSearcher
| |
| * LinearMixedModel
| |
| * LinearMixedModel.fit
| |
| * LinearMixedModel.fitmatrix
| |
| * LinearModel
| |
| * LinearModel.fit
| |
| * LinearModel.stepwise
| |
| * NaiveBayes
| |
| * NaiveBayes.fit
| |
| * NonLinearModel
| |
| * NonLinearModel.fit
| |
| * ProbDistUnivKernel
| |
| * ProbDistUnivParam
| |
| * RegressionBaggedEnsemble
| |
| * RegressionEnsemble
| |
| * RegressionPartitionedEnsemble
| |
| * RegressionPartitionedModel
| |
| * RegressionTree
| |
| * RegressionTree.fit
| |
| * TreeBagger
| |
| * addTerms
| |
| * addedvarplot
| |
| * addlevels
| |
| * adtest
| |
| * andrewsplot
| |
| * anova2
| |
| * ansaribradley
| |
| * aoctool
| |
| * barttest
| |
| * bbdesign
| |
| * betafit
| |
| * betalike
| |
| * binofit
| |
| * biplot
| |
| * candexch
| |
| * candgen
| |
| * capability
| |
| * capaplot
| |
| * ccdesign
| |
| * cdfplot
| |
| * cell2dataset
| |
| * chi2gof
| |
| * cholcov
| |
| * classify
| |
| * classregtree
| |
| * clustering.evaluation.CalinskiHarabaszEvaluation
| |
| * clustering.evaluation.DaviesBouldinEvaluation
| |
| * clustering.evaluation.GapEvaluation
| |
| * clustering.evaluation.SilhouetteEvaluation
| |
| * coefCI
| |
| * coefTest
| |
| * compact
| |
| * compare
| |
| * controlrules
| |
| * copulafit
| |
| * copulaparam
| |
| * copulastat
| |
| * cordexch
| |
| * corrcov
| |
| * covarianceParameters
| |
| * coxphfit
| |
| * createns
| |
| * crosstab
| |
| * dataset
| |
| * dataset2cell
| |
| * dataset2struct
| |
| * dataset2table
| |
| * datasetfun
| |
| * daugment
| |
| * dcovary
| |
| * designMatrix
| |
| * devianceTest
| |
| * dfittool
| |
| * disttool
| |
| * droplevels
| |
| * dummyvar
| |
| * dwtest
| |
| * ecdf
| |
| * ecdfhist
| |
| * evcdf
| |
| * evfit
| |
| * evinv
| |
| * evlike
| |
| * evpdf
| |
| * evrnd
| |
| * evstat
| |
| * export
| |
| * factoran
| |
| * fitdist
| |
| * fitensemble
| |
| * fitglm | |
| * fitlm | | * fitlm |
| * fitlme
| | </div> |
| * fitlmematrix
| | |
| * fitnlm
| | === Cross Validation === |
| * fitted
| | |
| * fixedEffects
| | Class of set partitions for cross-validation, used in crossval |
| * fracfact
| | |
| * fracfactgen
| | <div style="column-count:1;-moz-column-count:1;-webkit-column-count:1"> |
| * friedman
| | * @cvpartition/cvpartition |
| * fsurfht
| | * @cvpartition/display |
| * gagerr
| | * @cvpartition/get |
| * getlabels
| | * @cvpartition/repartition |
| * getlevels
| | * @cvpartition/set |
| * gline
| | * @cvpartition/test |
| * glmfit
| | * @cvpartition/training |
| * glmval
| |
| * glyphplot
| |
| * gname
| |
| * gpcdf
| |
| * gpfit
| |
| * gpinv
| |
| * gplike
| |
| * gplotmatrix
| |
| * gppdf
| |
| * gprnd
| |
| * gpstat
| |
| * grpstats
| |
| * haltonset
| |
| * hmmdecode
| |
| * hmmtrain
| |
| * hougen
| |
| * icdf
| |
| * interactionplot
| |
| * invpred
| |
| * islevel
| |
| * isundefined
| |
| * jbtest
| |
| * johnsrnd
| |
| * join
| |
| * knnsearch
| |
| * ksdensity
| |
| * kstest
| |
| * kstest2
| |
| * labels
| |
| * lasso
| |
| * lassoPlot
| |
| * lassoglm
| |
| * levelcounts
| |
| * leverage
| |
| * lhsdesign
| |
| * lhsnorm
| |
| * lillietest
| |
| * linhyptest
| |
| * lognfit
| |
| * lognlike
| |
| * lsline
| |
| * mahal
| |
| * maineffectsplot
| |
| * makedist
| |
| * manova1
| |
| * manovacluster
| |
| * mat2dataset
| |
| * mdscale
| |
| * mergelevels
| |
| * mle
| |
| * mlecov
| |
| * mnrfit
| |
| * mnrval
| |
| * multcompare
| |
| * multivarichart
| |
| * mvregress
| |
| * mvregresslike
| |
| * nancov
| |
| * nbinfit
| |
| * ncfcdf
| |
| * ncfinv
| |
| * ncfpdf
| |
| * ncfrnd
| |
| * ncfstat
| |
| * nctcdf
| |
| * nctinv
| |
| * nctpdf
| |
| * nctrnd
| |
| * nctstat
| |
| * ncx2cdf
| |
| * ncx2inv
| |
| * ncx2rnd
| |
| * ncx2stat
| |
| * negloglik
| |
| * nlinfit
| |
| * nlintool
| |
| * nlmefit
| |
| * nlmefitsa
| |
| * nlparci
| |
| * nlpredci
| |
| * nnmf
| |
| * nominal
| |
| * normfit
| |
| * normlike
| |
| * normspec
| |
| * ordinal
| |
| * parallelcoords
| |
| * paramci
| |
| * paretotails
| |
| * partialcorr
| |
| * partialcorri
| |
| * pdf
| |
| * pearsrnd
| |
| * perfcurve
| |
| * plotAdded
| |
| * plotAdjustedResponse
| |
| * plotDiagnostics
| |
| * plotEffects
| |
| * plotInteraction
| |
| * plotResiduals
| |
| * plotSlice
| |
| * poissfit
| |
| * polytool
| |
| * ppca
| |
| * predict
| |
| * prob.BetaDistribution
| |
| * prob.BinomialDistribution
| |
| * prob.BirnbaumSaundersDistribution
| |
| * prob.BurrDistribution
| |
| * prob.ExponentialDistribution
| |
| * prob.ExtremeValueDistribution
| |
| * prob.GammaDistribution
| |
| * prob.GeneralizedExtremeValueDistribution
| |
| * prob.GeneralizedParetoDistribution
| |
| * prob.InverseGaussianDistribution
| |
| * prob.KernelDistribution
| |
| * prob.LogisticDistribution
| |
| * prob.LoglogisticDistribution
| |
| * prob.LognormalDistribution
| |
| * prob.MultinomialDistribution
| |
| * prob.NakagamiDistribution
| |
| * prob.NegativeBinomialDistribution
| |
| * prob.NormalDistribution
| |
| * prob.PiecewiseLinearDistribution
| |
| * prob.PoissonDistribution
| |
| * prob.RayleighDistribution
| |
| * prob.RicianDistribution
| |
| * prob.TriangularDistribution
| |
| * prob.UniformDistribution
| |
| * prob.WeibullDistribution
| |
| * prob.tLocationScaleDistribution
| |
| * probplot
| |
| * procrustes
| |
| * proflik
| |
| * qrandset
| |
| * qrandstream
| |
| * randomEffects
| |
| * randtool
| |
| * rangesearch
| |
| * ranksum
| |
| * raylfit
| |
| * rcoplot
| |
| * refcurve
| |
| * refline
| |
| * regstats
| |
| * relieff
| |
| * removeTerms
| |
| * residuals
| |
| * response
| |
| * ridge
| |
| * robustdemo
| |
| * robustfit
| |
| * rotatefactors
| |
| * rowexch
| |
| * rsmdemo
| |
| * rstool
| |
| * sampsizepwr
| |
| * scatterhist
| |
| * sequentialfs
| |
| * setlabels
| |
| * signrank
| |
| * sobolset
| |
| * statget
| |
| * statset
| |
| * step
| |
| * stepwise
| |
| * stepwiseglm
| |
| * stepwiselm
| |
| * struct2dataset
| |
| * surfht
| |
| * svmclassify
| |
| * svmtrain
| |
| * table2dataset
| |
| * tabulate
| |
| * tdfread
| |
| * tiedrank
| |
| * truncate | |
| * unifit | |
| * vartestn | |
| * wblfit | |
| * wbllike | |
| * x2fx | |
| * xptread | |
| </div> | | </div> |
|
| |
|