Statistics package: Difference between revisions
Jump to navigation
Jump to search
Pr0m1th3as (talk | contribs) |
Pr0m1th3as (talk | contribs) |
||
Line 2: | Line 2: | ||
== Distributions == | == Distributions == | ||
The following table lists the distribution functions available in the statistics package. Since version 1.5.3, all CDFs support the "upper" option for evaluating the complement of the respective CDF. | |||
{| class="wikitable" | {| class="wikitable" | ||
Line 10: | Line 12: | ||
! Random Generator | ! Random Generator | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Birnbaum%E2%80%93Saunders_distribution | Birnbaum–Saunders | | https://en.wikipedia.org/wiki/Birnbaum%E2%80%93Saunders_distribution | Birnbaum–Saunders | ||
| bbscdf | | bbscdf | ||
| bbsinv | | bbsinv | ||
Line 16: | Line 18: | ||
| bbsrnd | | bbsrnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Beta_distribution | Beta | | https://en.wikipedia.org/wiki/Beta_distribution | Beta | ||
| betacdf | | betacdf | ||
| betainv | | betainv | ||
Line 22: | Line 24: | ||
| betarndbivariate | | betarndbivariate | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Binomial_distribution | Binomial | | https://en.wikipedia.org/wiki/Binomial_distribution | Binomial | ||
| binocdf | | binocdf | ||
| binoinv | | binoinv | ||
Line 28: | Line 30: | ||
| binornd | | binornd | ||
|- | |- | ||
| Bivariate | | Bivariate | ||
| bvncdf | | bvncdf | ||
| | | | ||
Line 34: | Line 36: | ||
| | | | ||
|- | |- | ||
| https://www.mathworks.com/help/stats/burr-type-xii-distribution.html | Burr Type XII | | https://www.mathworks.com/help/stats/burr-type-xii-distribution.html | Burr Type XII | ||
| burrcdf | | burrcdf | ||
| burrinv | | burrinv | ||
Line 40: | Line 42: | ||
| burrrnd | | burrrnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Cauchy_distribution | Cauchy | | https://en.wikipedia.org/wiki/Cauchy_distribution | Cauchy | ||
| cauchy_cdf | | cauchy_cdf | ||
| cauchy_inv | | cauchy_inv | ||
Line 46: | Line 48: | ||
| cauchy_rnd | | cauchy_rnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Chi-squared_distribution | Chi-squared | | https://en.wikipedia.org/wiki/Chi-squared_distribution | Chi-squared | ||
| chi2cdf | | chi2cdf | ||
| chi2inv | | chi2inv | ||
Line 52: | Line 54: | ||
| chi2rnd | | chi2rnd | ||
|- | |- | ||
| Copula Family | | Copula Family | ||
| copulacdf | | copulacdf | ||
| copulainv | | copulainv | ||
Line 58: | Line 60: | ||
| copularnd | | copularnd | ||
|- | |- | ||
| Extreme Value | | Extreme Value | ||
| evcdf | | evcdf | ||
| evinv | | evinv | ||
Line 64: | Line 66: | ||
| evrnd | | evrnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Exponential_distribution | Exponential | | https://en.wikipedia.org/wiki/Exponential_distribution | Exponential | ||
| expcdf | | expcdf | ||
| expinv | | expinv | ||
Line 70: | Line 72: | ||
| exprnd | | exprnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/F-distribution | F | | https://en.wikipedia.org/wiki/F-distribution | F | ||
| fcdf | | fcdf | ||
| finv | | finv | ||
Line 76: | Line 78: | ||
| frnd | | frnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Gamma_distribution | Gamma | | https://en.wikipedia.org/wiki/Gamma_distribution | Gamma | ||
| gamcdf | | gamcdf | ||
| gaminv | | gaminv | ||
Line 82: | Line 84: | ||
| gamrnd | | gamrnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Geometric_distribution | Geometric | | https://en.wikipedia.org/wiki/Geometric_distribution | Geometric | ||
| geocdf | | geocdf | ||
| geoinv | | geoinv | ||
Line 88: | Line 90: | ||
| geornd | | geornd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Generalized_extreme_value_distribution | Generalized Extreme Value | | https://en.wikipedia.org/wiki/Generalized_extreme_value_distribution | Generalized Extreme Value | ||
| gevcdf | | gevcdf | ||
| gevinv | | gevinv | ||
Line 94: | Line 96: | ||
| gevrnd | | gevrnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Generalized_Pareto_distribution | Generalized Pareto | | https://en.wikipedia.org/wiki/Generalized_Pareto_distribution | Generalized Pareto | ||
| gpcdf | | gpcdf | ||
| gpinv | | gpinv | ||
Line 100: | Line 102: | ||
| gprnd | | gprnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Hypergeometric_distribution | Hypergeometric | | https://en.wikipedia.org/wiki/Hypergeometric_distribution | Hypergeometric | ||
| hygecdf | | hygecdf | ||
| hygeinv | | hygeinv | ||
Line 106: | Line 108: | ||
| hygernd | | hygernd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Inverse-Wishart_distribution | Inverse-Wishart | | https://en.wikipedia.org/wiki/Inverse-Wishart_distribution | Inverse-Wishart | ||
| | | | ||
| | | | ||
Line 112: | Line 114: | ||
| iwishrnd | | iwishrnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Johnson%27s_SU-distribution | Johnson's SU | | https://en.wikipedia.org/wiki/Johnson%27s_SU-distribution | Johnson's SU | ||
| jsucdf | | jsucdf | ||
| | | | ||
Line 118: | Line 120: | ||
| | | | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Laplace_distribution | Laplace | | https://en.wikipedia.org/wiki/Laplace_distribution | Laplace | ||
| laplace_cdf | | laplace_cdf | ||
| laplace_inv | | laplace_inv | ||
Line 124: | Line 126: | ||
| laplace_rnd | | laplace_rnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Logistic_distribution | Logistic | | https://en.wikipedia.org/wiki/Logistic_distribution | Logistic | ||
| logistic_cdf | | logistic_cdf | ||
| logistic_inv | | logistic_inv | ||
Line 130: | Line 132: | ||
| logistic_rnd | | logistic_rnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Log-normal_distribution | Log-normal | | https://en.wikipedia.org/wiki/Log-normal_distribution | Log-normal | ||
| logncdf | | logncdf | ||
| logninv | | logninv | ||
Line 136: | Line 138: | ||
| lognrnd | | lognrnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Multinomial_distribution | Multinomial | | https://en.wikipedia.org/wiki/Multinomial_distribution | Multinomial | ||
| | | | ||
| | | | ||
Line 142: | Line 144: | ||
| mnrnd | | mnrnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Multivariate_normal_distribution | Multivariate Normal | | https://en.wikipedia.org/wiki/Multivariate_normal_distribution | Multivariate Normal | ||
| mvncdf | | mvncdf | ||
| mvninv | | mvninv | ||
Line 148: | Line 150: | ||
| mvnrnd | | mvnrnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Multivariate_t-distribution | Multivariate T | | https://en.wikipedia.org/wiki/Multivariate_t-distribution | Multivariate Student's T | ||
| mvtcdf mvtcdfqmc | | mvtcdf mvtcdfqmc | ||
| mvtinv | | mvtinv | ||
Line 154: | Line 156: | ||
| mvtrnd | | mvtrnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Nakagami_distribution | Nakagami | | https://en.wikipedia.org/wiki/Nakagami_distribution | Nakagami | ||
| nakacdf | | nakacdf | ||
| nakainv | | nakainv | ||
Line 160: | Line 162: | ||
| nakarnd | | nakarnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Negative_binomial_distribution | Negative Binomial | | https://en.wikipedia.org/wiki/Negative_binomial_distribution | Negative Binomial | ||
| nbincdf | | nbincdf | ||
| nbininv | | nbininv | ||
Line 166: | Line 168: | ||
| nbinrnd | | nbinrnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Noncentral_F-distribution | Noncentral F | | https://en.wikipedia.org/wiki/Noncentral_F-distribution | Noncentral F | ||
| ncfcdf | | ncfcdf | ||
| ncfinv | | ncfinv | ||
Line 172: | Line 174: | ||
| ncfrnd | | ncfrnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Noncentral_t-distribution | Noncentral T | | https://en.wikipedia.org/wiki/Noncentral_t-distribution | Noncentral Student's T | ||
| | | nctcdf | ||
| | | nctinv | ||
| | | nctpdf | ||
| | | nctrnd | ||
|- | |- | ||
| https://en.wikipedia.org/wiki/Noncentral_chi-squared_distribution | Noncentral | | https://en.wikipedia.org/wiki/Noncentral_chi-squared_distribution | Noncentral Chi-squared | ||
| ncx2cdf | | ncx2cdf | ||
| ncx2inv | | ncx2inv | ||
| ncx2pdf | | ncx2pdf | ||
| ncx2rnd | | ncx2rnd | ||
|- | |||
| https://en.wikipedia.org/wiki/Normal_distribution | Normal | |||
| normcdf | |||
| norminv | |||
| normpdf | |||
| normrnd | |||
|- | |||
| https://en.wikipedia.org/wiki/Poisson_distribution | Poisson | |||
| poisscdf | |||
| poissinv | |||
| poisspdf | |||
| poissrnd | |||
|- | |||
| https://en.wikipedia.org/wiki/Rayleigh_distribution | Rayleigh | |||
| raylcdf | |||
| raylinv | |||
| raylpdf | |||
| raylrnd | |||
|- | |||
| https://en.wikipedia.org/wiki/Normal_distribution#Standard_normal_distribution | Standard Normal | |||
| stdnormal_cdf | |||
| stdnormal_inv | |||
| stdnormal_pdf | |||
| stdnormal_rnd | |||
|- | |||
| https://en.wikipedia.org/wiki/Student%27s_t-distribution | Student's T | |||
| tcdf | |||
| tinv | |||
| tpdf | |||
| trnd | |||
|- | |||
| https://en.wikipedia.org/wiki/Triangular_distribution | Triangular | |||
| tricdf | |||
| triinv | |||
| tripdf | |||
| trirnd | |||
|- | |||
| https://en.wikipedia.org/wiki/Discrete_uniform_distribution | Discrete Uniform | |||
| unidcdf | |||
| unidinv | |||
| unidpdf | |||
| unidrnd | |||
|- | |||
| https://en.wikipedia.org/wiki/Continuous_uniform_distribution | Continuous Uniform | |||
| unifcdf | |||
| unifinv | |||
| unifpdf | |||
| unifrnd | |||
|- | |||
| https://en.wikipedia.org/wiki/Von_Mises_distribution | von Mises | |||
| vmcdf | |||
| | |||
| vmpdf | |||
| vmrnd | |||
|- | |||
| https://en.wikipedia.org/wiki/Weibull_distribution | Weibull | |||
| wblcdf | |||
| wblinv | |||
| wblpdf | |||
| wblrnd | |||
|- | |||
| https://en.wikipedia.org/wiki/Wiener_process | Wiener process | |||
| | |||
| | |||
| | |||
| wienrnd | |||
|- | |||
| https://en.wikipedia.org/wiki/Wishart_distribution | Wishart | |||
| | |||
| | |||
| wishpdf | |||
| wishrnd | |||
|} | |} | ||
=== Can be reused in other functions === | === Can be reused in other functions === |
Revision as of 14:54, 4 February 2023
The statistics package is part of the Octave Packages.
Distributions
The following table lists the distribution functions available in the statistics package. Since version 1.5.3, all CDFs support the "upper" option for evaluating the complement of the respective CDF.
Distribution Name | Cumulative Distribution Function | Quantile Function | Probability Density Function | Random Generator |
---|---|---|---|---|
Birnbaum–Saunders | bbscdf | bbsinv | bbspdf | bbsrnd |
Beta | betacdf | betainv | betapdf | betarndbivariate |
Binomial | binocdf | binoinv | binopdf | binornd |
Bivariate | bvncdf | |||
Burr Type XII | burrcdf | burrinv | burrpdf | burrrnd |
Cauchy | cauchy_cdf | cauchy_inv | cauchy_pdf | cauchy_rnd |
Chi-squared | chi2cdf | chi2inv | chi2pdf | chi2rnd |
Copula Family | copulacdf | copulainv | copulapdf | copularnd |
Extreme Value | evcdf | evinv | evpdf | evrnd |
Exponential | expcdf | expinv | exppdf | exprnd |
F | fcdf | finv | fpdf | frnd |
Gamma | gamcdf | gaminv | gampdf | gamrnd |
Geometric | geocdf | geoinv | geopdf | geornd |
Generalized Extreme Value | gevcdf | gevinv | gevpdf | gevrnd |
Generalized Pareto | gpcdf | gpinv | gppdf | gprnd |
Hypergeometric | hygecdf | hygeinv | hygepdf | hygernd |
Inverse-Wishart | iwishpdf | iwishrnd | ||
Johnson's SU | jsucdf | jsupdf | ||
Laplace | laplace_cdf | laplace_inv | laplace_pdf | laplace_rnd |
Logistic | logistic_cdf | logistic_inv | logistic_pdf | logistic_rnd |
Log-normal | logncdf | logninv | lognpdf | lognrnd |
Multinomial | mnpdf | mnrnd | ||
Multivariate Normal | mvncdf | mvninv | mvnpdf | mvnrnd |
Multivariate Student's T | mvtcdf mvtcdfqmc | mvtinv | mvtpdf | mvtrnd |
Nakagami | nakacdf | nakainv | nakapdf | nakarnd |
Negative Binomial | nbincdf | nbininv | nbinpdf | nbinrnd |
Noncentral F | ncfcdf | ncfinv | ncfpdf | ncfrnd |
Noncentral Student's T | nctcdf | nctinv | nctpdf | nctrnd |
Noncentral Chi-squared | ncx2cdf | ncx2inv | ncx2pdf | ncx2rnd |
Normal | normcdf | norminv | normpdf | normrnd |
Poisson | poisscdf | poissinv | poisspdf | poissrnd |
Rayleigh | raylcdf | raylinv | raylpdf | raylrnd |
Standard Normal | stdnormal_cdf | stdnormal_inv | stdnormal_pdf | stdnormal_rnd |
Student's T | tcdf | tinv | tpdf | trnd |
Triangular | tricdf | triinv | tripdf | trirnd |
Discrete Uniform | unidcdf | unidinv | unidpdf | unidrnd |
Continuous Uniform | unifcdf | unifinv | unifpdf | unifrnd |
von Mises | vmcdf | vmpdf | vmrnd | |
Weibull | wblcdf | wblinv | wblpdf | wblrnd |
Wiener process | wienrnd | |||
Wishart | wishpdf | wishrnd |
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
- 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
- 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