Statistics package

The statistics package is part of the Octave Packages.

Distributions

Distribution Name Cumulative Distribution Function Quantile Function Probability Density Function Random Generator
Birnbaum–Saunders Distribution bbscdf bbsinv bbspdf bbsrnd
Beta Distribution betacdf betainv betapdf betarndbivariate
Binomial Distribution binocdf binoinv binopdf binornd
Bivariate Distribution bvncdf
Burr Type XII Distribution burrcdf burrinv burrpdf burrrnd
Cauchy distribution Distribution cauchy_cdf cauchy_inv cauchy_pdf cauchy_rnd
Chi-squared Distribution chi2cdf chi2inv chi2pdf chi2rnd
Copula Family Distributions copulacdf copulainv copulapdf copularnd
Extreme Value Distribution evcdf evinv evpdf evrnd
Exponential Distribution expcdf expinv exppdf exprnd
F-Distribution fcdf finv fpdf frnd
Gamma Distribution gamcdf gaminv gampdf gamrnd
Geometric Distribution geocdf geoinv geopdf geornd

Matlab incompatible

These functions have the same name as Matlab functions but have a different interface

  • boxplot
  • gpcdf
  • gpinv
  • gppdf
  • gprnd

Can be reused in other functions

forge function matlab counterpart
anderson_darling_test adtest
bbscdf BirnbaumSaundersDistribution class
bbsinv BirnbaumSaundersDistribution class
bbspdf BirnbaumSaundersDistribution class
bbsrnd BirnbaumSaundersDistribution class
binotest binofit
burrcdf BurrDistribution class
burrinv BurrDistribution class
burrpdf BurrDistribution class
burrrnd BurrDistribution class
nakacdf NakagamiDistribution class
nakainv NakagamiDistribution class
nakapdf NakagamiDistribution class
nakarnd - should be used to implement the NakagamiDistribution class
regress_gp RegressionGP class
repanova RepeatedMeasuresModel.ranova
tricdf TriangularDistribution class
triinv TriangularDistribution class
tripdf TriangularDistribution class
trirnd TriangularDistribution class
logistic_cdf LogisticDistribution class
logistic_inv LogisticDistribution class
logistic_pdf LogisticDistribution class
logistic_rnd LogisticDistribution class
stdnormal_cdf NormalDistribution class
stdnormal_inv NormalDistribution class
stdnormal_pdf NormalDistribution class
stdnormal_rnd NormalDistribution class
anova anova method in different *Model classes
manova manova methods in different *Model classes
bartlett_test barttest
kolmogorov_smirnov_test ktest
kolmogorov_smirnov_test_2 ktest2
kruskal_wallis_test kruskalwallis

Ready to go

These functions seem to be Matlab compatible

  • anovan
  • betastat
  • binostat
  • binotest
  • canoncorr
  • caseread
  • casewrite
  • cdf
  • chi2stat
  • cmdscale
  • combnk
  • copulacdf
  • copulapdf
  • copularnd
  • crossval
  • @cvpartition
  • dendrogram
  • expstat
  • ff2n
  • fitgmdist
  • fstat
  • fullfact
  • gamfit
  • gamlike
  • gamstat
  • geomean
  • geostat
  • gevcdf
  • gevfit
  • gevinv
  • gevlike
  • gevpdf
  • gevrnd
  • gevstat
  • gmdistribution
  • grp2idx
  • harmmean
  • hist3
  • histfit
  • hmmestimate
  • hmmgenerate
  • hmmviterbi
  • hygestat
  • iwishrnd
  • jackknife
  • kmeans
  • linkage
  • lognstat
  • mad
  • mahal
  • mnpdf
  • mnrnd
  • mvncdf
  • mvnpdf
  • mvnrnd
  • mvtcdf
  • mvtpdf
  • mvtrnd
  • nanmax
  • nanmean
  • nanmedian
  • nanmin
  • nanstd
  • nansum
  • nanvar
  • nbinstat
  • normplot
  • normstat
  • pcacov
  • pcares
  • pdf
  • pdist2
  • pdist
  • plsregress
  • poisstat
  • random
  • randsample
  • raylcdf
  • raylinv
  • raylpdf
  • raylrnd
  • raylstat
  • regress
  • signtest
  • squareform
  • stepwisefit
  • tabulate
  • tblread
  • tblwrite
  • trimmean
  • tstat
  • ttest2
  • ttest
  • unidstat
  • unifstat
  • vartest2
  • vartest
  • wblstat
  • wishrnd
  • ztest
  • prctile
  • qqplot
  • betacdf
  • betainv
  • betapdf
  • betarnd
  • binocdf
  • binoinv
  • binopdf
  • binornd
  • chi2cdf
  • chi2inv
  • chi2pdf
  • chi2rnd
  • expcdf
  • expinv
  • exppdf
  • exprnd
  • fcdf
  • finv
  • fpdf
  • frnd
  • gamcdf
  • gaminv
  • gampdf
  • gamrnd
  • geocdf
  • geoinv
  • geopdf
  • geornd
  • hygecdf
  • hygeinv
  • hygepdf
  • hygernd
  • logncdf
  • logninv
  • lognpdf
  • lognrnd
  • nbincdf
  • nbininv
  • nbinpdf
  • nbinrnd
  • normcdf
  • norminv
  • normpdf
  • normrnd
  • poisscdf
  • poissinv
  • poisspdf
  • poissrnd
  • tcdf
  • tinv
  • tpdf
  • trnd
  • unidcdf
  • unidinv
  • unidpdf
  • unidrnd
  • unifcdf
  • unifinv
  • unifpdf
  • unifrnd
  • wblcdf
  • wblinv
  • wblpdf
  • wblrnd

In external packages

bootci, bootstrp are implemented in the statistics-bootstrap package

Development

Follows an incomplete list of stuff missing in the statistics package to be matlab compatible. Bugs are not listed here, search and report them on the bug tracker instead.

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 development sources before adding it.

Missing functions

  • ClassificationBaggedEnsemble
  • 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
  • fitlme
  • fitlmematrix
  • fitnlm
  • fitted
  • fixedEffects
  • fracfact
  • fracfactgen
  • friedman
  • fsurfht
  • gagerr
  • getlabels
  • getlevels
  • gline
  • glmfit
  • 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

Missing options

  • explike: censoring and frequency aren't yet implemented