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The {{Forge|statistics|statistics package}} is part of the | The {{Forge|statistics|statistics package}} is part of the [[Octave Forge]] project. | ||
== Core package == | |||
We need to decide what to do with the functions in the existing forge package when: | |||
=== To be decided === | |||
{| class="wikitable" | |||
! function | |||
! decision/notes | |||
|- | |||
|anderson_darling_cdf | |||
| | |||
|- | |||
|cl_multinom | |||
| | |||
|- | |||
|dcov | |||
| | |||
|- | |||
| gevfit_lmom | |||
| | |||
|- | |||
| iwishpdf | |||
| | |||
|- | |||
| jsucdf | |||
| | |||
|- | |||
|jsupdf | |||
| | |||
|- | |||
|monotone_smooth | |||
| | |||
|- | |||
|normalise_distribution | |||
| | |||
|- | |||
|princomp | |||
|matlab says that the function has been removed but likely is a lie. We should keep it too. | |||
|- | |||
|qrandn | |||
| | |||
|- | |||
|runstest | |||
| | |||
|- | |||
|sigma_pts | |||
|not yet released | |||
|- | |||
|violin | |||
| | |||
|- | |||
|vmpdf | |||
| | |||
|- | |||
|vmrnd | |||
| | |||
|- | |||
|wishpdf | |||
| | |||
|} | |||
=== 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 === | |||
{| class="wikitable" | |||
!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 | |||
<div style="column-count:4;-moz-column-count:4;-webkit-column-count:4"> | |||
* 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 | |||
</div> | |||
== Development == | == Development == | ||
Line 68: | Line 422: | ||
* candexch | * candexch | ||
* candgen | * candgen | ||
* capability | * capability | ||
* capaplot | * capaplot | ||
* ccdesign | * ccdesign | ||
* cdfplot | * cdfplot | ||
* cell2dataset | * cell2dataset | ||
Line 85: | Line 437: | ||
* clustering.evaluation.GapEvaluation | * clustering.evaluation.GapEvaluation | ||
* clustering.evaluation.SilhouetteEvaluation | * clustering.evaluation.SilhouetteEvaluation | ||
* coefCI | * coefCI | ||
* coefTest | * coefTest | ||
Line 103: | Line 454: | ||
* createns | * createns | ||
* crosstab | * crosstab | ||
* datasample | * datasample | ||
* dataset | * dataset | ||
Line 113: | Line 462: | ||
* daugment | * daugment | ||
* dcovary | * dcovary | ||
* designMatrix | * designMatrix | ||
* devianceTest | * devianceTest | ||
Line 154: | Line 502: | ||
* glmval | * glmval | ||
* glyphplot | * glyphplot | ||
* gname | * gname | ||
* gpcdf | * gpcdf | ||
Line 165: | Line 511: | ||
* gprnd | * gprnd | ||
* gpstat | * gpstat | ||
* grpstats | * grpstats | ||
* gscatter | * gscatter | ||
Line 179: | Line 524: | ||
* ismissing | * ismissing | ||
* isundefined | * isundefined | ||
* jbtest | * jbtest | ||
* johnsrnd | * johnsrnd | ||
Line 218: | Line 562: | ||
* mvregress | * mvregress | ||
* mvregresslike | * mvregresslike | ||
* nancov | * nancov | ||
* nbinfit | * nbinfit | ||
Line 257: | Line 600: | ||
* pca | * pca | ||
* pdf | * pdf | ||
* pearsrnd | * pearsrnd | ||
* perfcurve | * perfcurve | ||
Line 303: | Line 645: | ||
* qrandstream | * qrandstream | ||
* randomEffects | * randomEffects | ||
* randtool | * randtool | ||
* rangesearch | * rangesearch | ||
Line 328: | Line 669: | ||
* setlabels | * setlabels | ||
* signrank | * signrank | ||
* silhouette | * silhouette | ||
* slicesample | * slicesample | ||
Line 343: | Line 683: | ||
* svmtrain | * svmtrain | ||
* table2dataset | * table2dataset | ||
* tabulate | |||
* tdfread | * tdfread | ||
* tiedrank | * tiedrank | ||
* truncate | * truncate | ||
* unifit | * unifit | ||
* vartestn | * vartestn | ||
* wblfit | * wblfit | ||
* wbllike | * wbllike | ||
* wblplot | * wblplot | ||
* x2fx | * x2fx | ||
* xptread | * xptread | ||
</div> | </div> | ||
=== Missing options === | === Missing options === | ||
[[Category:Octave | [[Category:Octave Forge]] | ||
[[Category:Missing functions]] |
Revision as of 20:17, 8 April 2019
The statistics package is part of the Octave Forge project.
Core package
We need to decide what to do with the functions in the existing forge package when:
To be decided
function | decision/notes |
---|---|
anderson_darling_cdf | |
cl_multinom | |
dcov | |
gevfit_lmom | |
iwishpdf | |
jsucdf | |
jsupdf | |
monotone_smooth | |
normalise_distribution | |
princomp | matlab says that the function has been removed but likely is a lie. We should keep it too. |
qrandn | |
runstest | |
sigma_pts | not yet released |
violin | |
vmpdf | |
vmrnd | |
wishpdf |
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
- 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
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
- anova1
- anova2
- ansaribradley
- aoctool
- barttest
- bbdesign
- betafit
- betalike
- binofit
- biplot
- bootci
- bootstrp
- candexch
- candgen
- capability
- capaplot
- ccdesign
- cdfplot
- cell2dataset
- chi2gof
- cholcov
- classify
- classregtree
- cluster
- clusterdata
- clustering.evaluation.CalinskiHarabaszEvaluation
- clustering.evaluation.DaviesBouldinEvaluation
- clustering.evaluation.GapEvaluation
- clustering.evaluation.SilhouetteEvaluation
- coefCI
- coefTest
- compact
- compare
- confusionmat
- controlchart
- controlrules
- cophenet
- copulafit
- copulaparam
- copulastat
- cordexch
- corrcov
- covarianceParameters
- coxphfit
- createns
- crosstab
- datasample
- dataset
- dataset2cell
- dataset2struct
- dataset2table
- datasetfun
- daugment
- dcovary
- designMatrix
- devianceTest
- dfittool
- disttool
- droplevels
- dummyvar
- dwtest
- ecdf
- ecdfhist
- evalclusters
- evcdf
- evfit
- evinv
- evlike
- evpdf
- evrnd
- evstat
- explike
- 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
- gscatter
- haltonset
- hmmdecode
- hmmtrain
- hougen
- icdf
- inconsistent
- interactionplot
- invpred
- islevel
- ismissing
- isundefined
- jbtest
- johnsrnd
- join
- knnsearch
- kruskalwallis
- ksdensity
- kstest
- kstest2
- labels
- lasso
- lassoPlot
- lassoglm
- levelcounts
- leverage
- lhsdesign
- lhsnorm
- lillietest
- linhyptest
- lognfit
- lognlike
- lsline
- mahal
- maineffectsplot
- makedist
- manova1
- manovacluster
- mat2dataset
- mdscale
- mergelevels
- mhsample
- mle
- mlecov
- mnrfit
- mnrval
- multcompare
- multivarichart
- mvregress
- mvregresslike
- nancov
- nbinfit
- ncfcdf
- ncfinv
- ncfpdf
- ncfrnd
- ncfstat
- nctcdf
- nctinv
- nctpdf
- nctrnd
- nctstat
- ncx2cdf
- ncx2inv
- ncx2pdf
- ncx2rnd
- ncx2stat
- negloglik
- nlinfit
- nlintool
- nlmefit
- nlmefitsa
- nlparci
- nlpredci
- nnmf
- nominal
- normfit
- normlike
- normspec
- optimalleaforder
- ordinal
- parallelcoords
- paramci
- paretotails
- partialcorr
- partialcorri
- pca
- 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
- silhouette
- slicesample
- sobolset
- statget
- statset
- step
- stepwise
- stepwiseglm
- stepwiselm
- struct2dataset
- surfht
- svmclassify
- svmtrain
- table2dataset
- tabulate
- tdfread
- tiedrank
- truncate
- unifit
- vartestn
- wblfit
- wbllike
- wblplot
- x2fx
- xptread