# Statistics and Machine Learning Toolbox Functions

 barttest Bartlett's test bbdesign Box-Behnken design betacdf Beta cumulative distribution function BetaDistribution Beta probability distribution object betafit Beta parameter estimates betainv Beta inverse cumulative distribution function betalike Beta negative log-likelihood betapdf Beta probability density function betarnd Beta random numbers betastat Beta mean and variance binocdf Binomial cumulative distribution function binofit Binomial parameter estimates binoinv Binomial inverse cumulative distribution function BinomialDistribution Binomial probability distribution object binopdf Binomial probability density function binornd Binomial random numbers binostat Binomial mean and variance biplot Biplot BirnbaumSaundersDistribution Birnbaum-Saunders probability distribution object bootci Bootstrap confidence interval bootstrp Bootstrap sampling boxplot Box plot BurrDistribution Burr probability distribution object
 candexch D-optimal design from candidate set using row exchanges candgen Candidate set generation canoncorr Canonical correlation capability Process capability indices capaplot Process capability plot caseread Read case names from file casewrite Write case names to file ccdesign Central composite design cdf Cumulative distribution functions cdfplot Empirical cumulative distribution function plot cell2dataset Convert cell array to dataset array chi2cdf Chi-square cumulative distribution function chi2gof Chi-square goodness-of-fit test chi2inv Chi-square inverse cumulative distribution function chi2pdf Chi-square probability density function chi2rnd Chi-square random numbers chi2stat Chi-square mean and variance cholcov Cholesky-like covariance decomposition ClassificationBaggedEnsemble Classification ensemble grown by resampling ClassificationDiscriminant Discriminant analysis classification ClassificationECOC Multiclass model for support vector machines or other classifiers ClassificationEnsemble Ensemble classifier ClassificationKNN k-nearest neighbor classification ClassificationNaiveBayes Naive Bayes classification ClassificationPartitionedECOC Cross-validated multiclass model for support vector machines or other classifiers ClassificationPartitionedEnsemble Cross-validated classification ensemble ClassificationPartitionedModel Cross-validated classification model ClassificationSVM Support vector machine for binary classification ClassificationTree Binary decision tree for classification classregtree Classification and regression trees cluster Construct clusters from Gaussian mixture distribution cluster Construct agglomerative clusters from linkages clusterdata Agglomerative clusters from data clustering.evaluation.CalinskiHarabaszEvaluation Calinski-Harabasz criterion clustering evaluation object clustering.evaluation.DaviesBouldinEvaluation Davies-Bouldin criterion clustering evaluation object clustering.evaluation.GapEvaluation Gap criterion clustering evaluation object clustering.evaluation.SilhouetteEvaluation Silhouette criterion clustering evaluation object cmdscale Classical multidimensional scaling coefCI Confidence intervals for coefficients of generalized linear mixed-effects model coefCI Confidence intervals of coefficient estimates of generalized linear model coefCI Confidence intervals for coefficients of linear mixed-effects model coefCI Confidence intervals of coefficient estimates of linear model coefCI Confidence intervals of coefficient estimates of nonlinear regression model coefTest Hypothesis test on fixed and random effects of generalized linear mixed-effects model coefTest Linear hypothesis test on generalized linear regression model coefficients coefTest Hypothesis test on fixed and random effects of linear mixed-effects model coefTest Linear hypothesis test on linear regression model coefficients coefTest Linear hypothesis test on nonlinear regression model coefficients coeftest Linear hypothesis test on coefficients of repeated measures model combnk Enumeration of combinations compact Compact clustering evaluation object CompactClassificationDiscriminant Compact discriminant analysis class CompactClassificationECOC Compact multiclass model for support vector machines or other classifiers CompactClassificationEnsemble Compact classification ensemble class CompactClassificationNaiveBayes Compact naive Bayes classifier CompactClassificationSVM Compact support vector machine for binary classification CompactClassificationTree Compact classification tree CompactRegressionEnsemble Compact regression ensemble class CompactRegressionTree Compact regression tree CompactTreeBagger Compact ensemble of decision trees grown by bootstrap aggregation compare Compare generalized linear mixed-effects models compare Compare linear mixed-effects models confusionmat Confusion matrix controlchart Shewhart control charts controlrules Western Electric and Nelson control rules cophenet Cophenetic correlation coefficient copulacdf Copula cumulative distribution function copulafit Fit copula to data copulaparam Copula parameters as function of rank correlation copulapdf Copula probability density function copularnd Copula random numbers copulastat Copula rank correlation cordexch Coordinate exchange corr Linear or rank correlation corrcov Convert covariance matrix to correlation matrix covarianceParameters Extract covariance parameters of generalized linear mixed-effects model covarianceParameters Extract covariance parameters of linear mixed-effects model coxphfit Cox proportional hazards regression createns Create object to use in k-nearest neighbors search crosstab Cross-tabulation crossval Cross-validated discriminant analysis classifier crossval Cross-validated, error-correcting output code multiclass model crossval Cross validate ensemble crossval k-nearest neighbor classification crossval Cross-validated naive Bayes classifier crossval Cross-validated support vector machine classifier crossval Cross-validated decision tree crossval Cross validate ensemble crossval Cross-validated decision tree crossval Loss estimate using cross validation cvpartition Data partitions for cross validation cvshrink Cross-validate regularization of linear discriminant cvshrink Cross validate shrinking (pruning) ensemble
 datasample Randomly sample from data, with or without replacement dataset Arrays for statistical data dataset2cell Convert dataset array to cell array dataset2struct Convert dataset array to structure dataset2table Convert dataset array to table datasetfun Apply function to dataset array variables daugment D-optimal augmentation dcovary D-optimal design with fixed covariates dendrogram Dendrogram plot designecoc Coding matrix for reducing error-correcting output code to binary designMatrix Fixed- and random-effects design matrices designMatrix Fixed- and random-effects design matrices devianceTest Analysis of deviance dfittool Open Distribution Fitting app disp Display generalized linear mixed-effects model disp Display generalized linear regression model disp Display linear mixed-effects model disp Display linear regression model disp Display nonlinear regression model disttool Interactive density and distribution plots droplevels Drop levels from a nominal or ordinal array dummyvar Create dummy variables dwtest Durbin-Watson test of linear model dwtest Durbin-Watson test
 ecdf Empirical cumulative distribution function ecdfhist Histogram based on empirical cumulative distribution function edge Classification edge for support vector machine classifiers epsilon Epsilon adjustment for repeated measures anova evalclusters Evaluate clustering solutions evcdf Extreme value cumulative distribution function evfit Extreme value parameter estimates evinv Extreme value inverse cumulative distribution function evlike Extreme value negative log-likelihood evpdf Extreme value probability density function evrnd Extreme value random numbers evstat Extreme value mean and variance ExhaustiveSearcher Exhaustive nearest neighbors searcher ExhaustiveSearcher Prepare exhaustive nearest neighbors searcher expcdf Exponential cumulative distribution function expfit Exponential parameter estimates expinv Exponential inverse cumulative distribution function explike Exponential negative log-likelihood ExponentialDistribution Exponential probability distribution object export Write dataset array to file exppdf Exponential probability density function exprnd Exponential random numbers expstat Exponential mean and variance ExtremeValueDistribution Extreme value probability distribution object
 factoran Factor analysis fcdf F cumulative distribution function feval Evaluate generalized linear regression model prediction feval Evaluate linear regression model prediction feval Evaluate nonlinear regression model prediction ff2n Two-level full factorial design finv F inverse cumulative distribution function fishertest Fisher's exact test fitcdiscr Fit discriminant analysis classifier fitcecoc Fit multiclass models for support vector machines or other classifiers fitcknn Fit k-nearest neighbor classifier fitcnb Train multiclass naive Bayes model fitcsvm Train binary support vector machine classifier fitctree Fit classification tree fitdist Fit probability distribution object to data fitensemble Fitted ensemble for classification or regression fitglm Create generalized linear regression model fitglme Fit generalized linear mixed-effects model fitgmdist Fit Gaussian mixture distribution to data fitlm Create linear regression model fitlme Fit linear mixed-effects model fitlmematrix Fit linear mixed-effects model fitnlm Fit nonlinear regression model fitrm Fit repeated measures model fitrtree Binary decision tree for regression fitSVMPosterior Fit posterior probabilities fitted Fitted responses from generalized linear mixed-effects model fitted Fitted responses from a linear mixed-effects model fixedEffects Estimates of fixed effects and related statistics fixedEffects Estimates of fixed effects and related statistics fpdf F probability density function fracfact Fractional factorial design fracfactgen Fractional factorial design generators friedman Friedman's test frnd F random numbers fstat F mean and variance fsurfht Interactive contour plot fullfact Full factorial design
 gagerr Gage repeatability and reproducibility study gamcdf Gamma cumulative distribution function gamfit Gamma parameter estimates gaminv Gamma inverse cumulative distribution function gamlike Gamma negative log-likelihood GammaDistribution Gamma probability distribution object gampdf Gamma probability density function gamrnd Gamma random numbers gamstat Gamma mean and variance GeneralizedExtremeValueDistribution Generalized extreme value probability distribution object GeneralizedLinearMixedModel Generalized linear mixed-effects model class GeneralizedLinearModel Generalized linear regression model class GeneralizedLinearModel.fit Create generalized linear regression model GeneralizedLinearModel.stepwise Create generalized linear regression model by stepwise regression GeneralizedParetoDistribution Generalized Pareto probability distribution object geocdf Geometric cumulative distribution function geoinv Geometric inverse cumulative distribution function geomean Geometric mean geopdf Geometric probability density function geornd Geometric random numbers geostat Geometric mean and variance getlabels Access categorical array labels getlevels Access categorical array levels gevcdf Generalized extreme value cumulative distribution function gevfit Generalized extreme value parameter estimates gevinv Generalized extreme value inverse cumulative distribution function gevlike Generalized extreme value negative log-likelihood gevpdf Generalized extreme value probability density function gevrnd Generalized extreme value random numbers gevstat Generalized extreme value mean and variance gline Interactively add line to plot glmfit Generalized linear model regression glmval Generalized linear model values glyphplot Glyph plot gmdistribution Gaussian mixture models gmdistribution.fit Gaussian mixture parameter estimates gname Add case names to plot gpcdf Generalized Pareto cumulative distribution function gpfit Generalized Pareto parameter estimates gpinv Generalized Pareto inverse cumulative distribution function gplike Generalized Pareto negative log-likelihood gplotmatrix Matrix of scatter plots by group gppdf Generalized Pareto probability density function gprnd Generalized Pareto random numbers gpstat Generalized Pareto mean and variance grp2idx Create index vector from grouping variable grpstats Compute descriptive statistics of repeated measures data by group grpstats Summary statistics organized by group gscatter Scatter plot by group
 haltonset Halton quasi-random point sets harmmean Harmonic mean hist3 Bivariate histogram histfit Histogram with a distribution fit hmmdecode Hidden Markov model posterior state probabilities hmmestimate Hidden Markov model parameter estimates from emissions and states hmmgenerate Hidden Markov model states and emissions hmmtrain Hidden Markov model parameter estimates from emissions hmmviterbi Hidden Markov model most probable state path hougen Hougen-Watson model hygecdf Hypergeometric cumulative distribution function hygeinv Hypergeometric inverse cumulative distribution function hygepdf Hypergeometric probability density function hygernd Hypergeometric random numbers hygestat Hypergeometric mean and variance
 icdf Inverse cumulative distribution functions inconsistent Inconsistency coefficient increaseB Increase reference data sets interactionplot Interaction plot for grouped data InverseGaussianDistribution Inverse Gaussian probability distribution object invpred Inverse prediction iqr Interquartile range islevel Determine if levels are in nominal or ordinal array ismissing Find dataset array elements with missing values iwishrnd Inverse Wishart random numbers
 jackknife Jackknife sampling jbtest Jarque-Bera test johnsrnd Johnson system random numbers join Merge observations
 KDTreeSearcher Nearest neighbor search using Kd-tree KDTreeSearcher Grow Kd-tree KernelDistribution Kernel probability distribution object kmeans k-means clustering kmedoids k-medoids clustering knnsearch k-nearest neighbors search using Kd-tree or exhaustive search kruskalwallis Kruskal-Wallis test ksdensity Kernel smoothing function estimate kstest One-sample Kolmogorov-Smirnov test kstest2 Two-sample Kolmogorov-Smirnov test kurtosis Kurtosis
 lasso Regularized least-squares regression using lasso or elastic net algorithms lassoglm Lasso or elastic net regularization for generalized linear model regression lassoPlot Trace plot of lasso fit levelcounts Element counts by level of a nominal or ordinal array leverage Leverage lhsdesign Latin hypercube sample lhsnorm Latin hypercube sample from normal distribution lillietest Lilliefors test LinearMixedModel Linear mixed-effects model class LinearMixedModel.fit Fit linear mixed-effects model using tables LinearMixedModel.fitmatrix Fit linear mixed-effects model using design matrices LinearModel Linear regression model class LinearModel.fit Create linear regression model LinearModel.stepwise Create linear regression model by stepwise regression linhyptest Linear hypothesis test linkage Agglomerative hierarchical cluster tree LogisticDistribution Logistic probability distribution object LoglogisticDistribution Loglogistic probability distribution object logncdf Lognormal cumulative distribution function lognfit Lognormal parameter estimates logninv Lognormal inverse cumulative distribution function lognlike Lognormal negative log-likelihood LognormalDistribution Lognormal probability distribution object lognpdf Lognormal probability density function lognrnd Lognormal random numbers lognstat Lognormal mean and variance logP Log unconditional probability density for discriminant analysis classifier logP Log unconditional probability density for naive Bayes classifier loss k-nearest neighbor classification loss Classification error loss Classification loss for error-correcting output code multiclass classifiers loss Classification error loss Classification error for naive Bayes classifier loss Classification error for support vector machine classifiers loss Classification error loss Regression error loss Regression error lsline Add least-squares line to scatter plot
 mad Mean or median absolute deviation mahal Mahalanobis distance maineffectsplot Main effects plot for grouped data makecdiscr Construct discriminant analysis classifier from parameters makedist Create probability distribution object manova Multivariate analysis of variance manova1 One-way multivariate analysis of variance manovacluster Dendrogram of group mean clusters following MANOVA margin Classification margins for support vector machine classifiers margmean Estimate marginal means mat2dataset Convert matrix to dataset array mauchly Mauchly's test for sphericity mdscale Nonclassical multidimensional scaling mean Mean of probability distribution median Median of probability distribution mergelevels Merge levels of nominal or ordinal arrays mhsample Metropolis-Hastings sample mle Maximum likelihood estimates mlecov Asymptotic covariance of maximum likelihood estimators mnpdf Multinomial probability density function mnrfit Multinomial logistic regression mnrnd Multinomial random numbers mnrval Multinomial logistic regression values moment Central moments multcompare Multiple comparison of estimated marginal means multcompare Multiple comparison test MultinomialDistribution Multinomial probability distribution object multivarichart Multivari chart for grouped data mvncdf Multivariate normal cumulative distribution function mvnpdf Multivariate normal probability density function mvnrnd Multivariate normal random numbers mvregress Multivariate linear regression mvregresslike Negative log-likelihood for multivariate regression mvtcdf Multivariate t cumulative distribution function mvtpdf Multivariate t probability density function mvtrnd Multivariate t random numbers
 NakagamiDistribution Nakagami probability distribution object nancov Covariance ignoring NaN values nanmax Maximum ignoring NaN values nanmean Mean ignoring NaN values nanmedian Median ignoring NaN values nanmin Minimum ignoring NaN values nanstd Standard deviation ignoring NaN values nansum Sum ignoring NaN values nanvar Variance, ignoring NaN values nbincdf Negative binomial cumulative distribution function nbinfit Negative binomial parameter estimates nbininv Negative binomial inverse cumulative distribution function nbinpdf Negative binomial probability density function nbinrnd Negative binomial random numbers nbinstat Negative binomial mean and variance ncfcdf Noncentral F cumulative distribution function ncfinv Noncentral F inverse cumulative distribution function ncfpdf Noncentral F probability density function ncfrnd Noncentral F random numbers ncfstat Noncentral F mean and variance nctcdf Noncentral t cumulative distribution function nctinv Noncentral t inverse cumulative distribution function nctpdf Noncentral t probability density function nctrnd Noncentral t random numbers nctstat Noncentral t mean and variance ncx2cdf Noncentral chi-square cumulative distribution function ncx2inv Noncentral chi-square inverse cumulative distribution function ncx2pdf Noncentral chi-square probability density function ncx2rnd Noncentral chi-square random numbers ncx2stat Noncentral chi-square mean and variance NegativeBinomialDistribution Negative binomial distribution object negloglik Negative log likelihood of probability distribution nlinfit Nonlinear regression nlintool Interactive nonlinear regression nlmefit Nonlinear mixed-effects estimation nlmefitsa Fit nonlinear mixed-effects model with stochastic EM algorithm nlparci Nonlinear regression parameter confidence intervals nlpredci Nonlinear regression prediction confidence intervals nnmf Nonnegative matrix factorization nominal Arrays for nominal data nominal Create nominal array NonLinearModel Nonlinear regression model class NonLinearModel.fit Fit nonlinear regression model NormalDistribution Normal probability distribution object normcdf Normal cumulative distribution function normfit Normal parameter estimates norminv Normal inverse cumulative distribution function normlike Normal negative log-likelihood normpdf Normal probability density function normplot Normal probability plot normrnd Normal random numbers normspec Normal density plot between specifications normstat Normal mean and variance
 oobPredict Predict out-of-bag response of ensemble oobPredict Predict out-of-bag response of ensemble optimalleaforder Optimal leaf ordering for hierarchical clustering ordinal Arrays for ordinal data ordinal Create ordinal array
 parallelcoords Parallel coordinates plot paramci Confidence intervals for probability distribution parameters paretotails Empirical distributions with Pareto tails partialcorr Linear or rank partial correlation coefficients partialcorri Partial correlation coefficients adjusted for internal variables pca Principal component analysis of raw data pcacov Principal component analysis on covariance matrix pcares Residuals from principal component analysis pdf Probability density functions pdist Pairwise distance between pairs of objects pdist2 Pairwise distance between two sets of observations pearsrnd Pearson system random numbers perfcurve Receiver operating characteristic (ROC) curve or other performance curve for classifier output PiecewiseLinearDistribution Piecewise linear probability distribution object plot Plot clustering evaluation object criterion values plot Scatter plot or added variable plot of linear model plot Plot data with optional grouping plotAdded Added variable plot or leverage plot for linear model plotAdjustedResponse Adjusted response plot for linear regression model plotDiagnostics Plot diagnostics of generalized linear regression model plotDiagnostics Plot diagnostics of linear regression model plotDiagnostics Plot diagnostics of nonlinear regression model plotEffects Plot main effects of each predictor in linear regression model plotInteraction Plot interaction effects of two predictors in linear regression model plotprofile Plot expected marginal means with optional grouping plotResiduals Plot residuals of generalized linear mixed-effects model plotResiduals Plot residuals of generalized linear regression model plotResiduals Plot residuals of linear mixed-effects model plotResiduals Plot residuals of linear regression model plotResiduals Plot residuals of nonlinear regression model plotSlice Plot of slices through fitted generalized linear regression surface plotSlice Plot of slices through fitted linear regression surface plotSlice Plot of slices through fitted nonlinear regression surface plsregress Partial least-squares regression poisscdf Poisson cumulative distribution function poissfit Poisson parameter estimates poissinv Poisson inverse cumulative distribution function PoissonDistribution Poisson probability distribution object poisspdf Poisson probability density function poissrnd Poisson random numbers poisstat Poisson mean and variance polyconf Polynomial confidence intervals polytool Interactive polynomial fitting posterior Posterior probabilities of components ppca Probabilistic principal component analysis prctile Percentiles of a data set predict k-nearest neighbor classification predict Predict classification predict Predict labels for error-correcting output code multiclass classifiers predict Predict classification predict Predict classification for naive Bayes models predict Predict labels for support vector machine classifiers predict Predict classification predict Predict response of ensemble predict Predict response of regression tree predict Predict response of generalized linear mixed-effects model predict Predict response of generalized linear regression model predict Predict response of linear mixed-effects model predict Predict response of linear regression model predict Predict response of nonlinear regression model predict Compute predicted values given predictor values predictorImportance Estimates of predictor importance predictorImportance Estimates of predictor importance predictorImportance Estimates of predictor importance predictorImportance Estimates of predictor importance princomp Principal component analysis (PCA) on data ProbDistUnivKernel Object representing univariate kernel probability distribution ProbDistUnivParam Object representing univariate parametric probability distribution probplot Probability plots procrustes Procrustes analysis proflik Profile likelihood function for probability distribution prune Produce sequence of subtrees by pruning prune Produce sequence of subtrees by pruning
 qqplot Quantile-quantile plot qrandset Quasi-random point sets qrandstream Quasi-random number streams quantile Quantiles of a data set
 randg Gamma random numbers with unit scale random Generate random responses from fitted generalized linear mixed-effects model random Simulate responses for generalized linear regression model random Generate random responses from fitted linear mixed-effects model random Simulate responses for linear regression model random Simulate responses for nonlinear regression model random Generate new random response values given predictor values random Random numbers randomEffects Estimates of random effects and related statistics randomEffects Estimates of random effects and related statistics randsample Random sample randtool Interactive random number generation range Range of values rangesearch Find all neighbors within specified distance using exhaustive search or Kd-tree ranksum Wilcoxon rank sum test ranova Repeated measures analysis of variance raylcdf Rayleigh cumulative distribution function RayleighDistribution Rayleigh probability distribution object raylfit Rayleigh parameter estimates raylinv Rayleigh inverse cumulative distribution function raylpdf Rayleigh probability density function raylrnd Rayleigh random numbers raylstat Rayleigh mean and variance rcoplot Residual case order plot refcurve Add reference curve to plot refit Refit generalized linear mixed-effects model refline Add reference line to plot regress Multiple linear regression RegressionBaggedEnsemble Regression ensemble grown by resampling RegressionEnsemble Ensemble regression RegressionPartitionedEnsemble Cross-validated regression ensemble RegressionPartitionedModel Cross-validated regression model RegressionTree Regression tree regstats Regression diagnostics relieff Importance of attributes (predictors) using ReliefF algorithm removeTerms Remove terms from generalized linear model removeTerms Remove terms from linear model RepeatedMeasuresModel Repeated measures model class residuals Residuals of fitted generalized linear mixed-effects model residuals Residuals of fitted linear mixed-effects model response Response vector of generalized linear mixed-effects model response Response vector of the linear mixed-effects model resume Resume training ensemble resume Resume training support vector machine classifier resume Resume training ensemble RicianDistribution Rician probability distribution object ridge Ridge regression robustdemo Interactive robust regression robustfit Robust regression rotatefactors Rotate factor loadings rowexch Row exchange rsmdemo Interactive response surface demonstration rstool Interactive response surface modeling runstest Run test for randomness
 sampsizepwr Sample size and power of test scatterhist Scatter plot with marginal histograms sequentialfs Sequential feature selection setlabels Assign labels to levels of nominal or ordinal arrays signrank Wilcoxon signed rank test signtest Sign test silhouette Silhouette plot skewness Skewness slicesample Slice sampler sobolset Sobol quasi-random point sets squareform Format distance matrix statget Access values in statistics options structure statset Create statistics options structure std Standard deviation of probability distribution step Improve generalized linear regression model by adding or removing terms step Improve linear regression model by adding or removing terms stepwise Interactive stepwise regression stepwisefit Stepwise regression stepwiseglm Create generalized linear regression model by stepwise regression stepwiselm Create linear regression model using stepwise regression struct2dataset Convert structure array to dataset array surfht Interactive contour plot svmclassify Classify using support vector machine (SVM) svmtrain Train support vector machine classifier
 table2dataset Convert table to dataset array tabulate Frequency table tblread Read tabular data from file tblwrite Write tabular data to file tcdf Student's t cumulative distribution function tdfread Read tab-delimited file templateDiscriminant Discriminant analysis classifier template templateECOC Error-correcting output codes learner template templateEnsemble Ensemble learning template templateKNN k-nearest neighbor classifier template templateNaiveBayes Naive Bayes classifier template templateSVM Support vector machine template templateTree Create decision tree template testcholdout Compare predictive accuracies of two classification models testckfold Compare accuracies of two classification models by repeated cross validation tiedrank Rank adjusted for ties tinv Student's t inverse cumulative distribution function tLocationScaleDistribution t Location-Scale probability distribution object tpdf Student's t probability density function TreeBagger Names of classes TriangularDistribution Triangular probability distribution object trimmean Mean excluding outliers trnd Student's t random numbers truncate Truncate probability distribution object tstat Student's t mean and variance ttest One-sample and paired-sample t-test ttest2 Two-sample t-test
 unidcdf Discrete uniform cumulative distribution function unidinv Discrete uniform inverse cumulative distribution function unidpdf Discrete uniform probability density function unidrnd Discrete uniform random numbers unidstat Discrete uniform mean and variance unifcdf Continuous uniform cumulative distribution function unifinv Continuous uniform inverse cumulative distribution function unifit Continuous uniform parameter estimates UniformDistribution Uniform probability distribution object unifpdf Continuous uniform probability density function unifrnd Continuous uniform random numbers unifstat Continuous uniform mean and variance
 var Variance of probability distribution vartest Chi-square variance test vartest2 Two-sample F-test for equal variances vartestn Multiple-sample tests for equal variances view View tree view View tree
 wblcdf Weibull cumulative distribution function wblfit Weibull parameter estimates wblinv Weibull inverse cumulative distribution function wbllike Weibull negative log-likelihood wblpdf Weibull probability density function wblplot Weibull probability plot wblrnd Weibull random numbers wblstat Weibull mean and variance WeibullDistribution Weibull probability distribution object wishrnd Wishart random numbers
 x2fx Convert predictor matrix to design matrix xlsread Read Microsoft Excel spreadsheet file xptread Create table from data stored in SAS XPORT format file
 zscore Standardized z-scores ztest z-test