Editing Statistics package

The [https://github.com/gnu-octave/statistics/ statistics package] is part of the [https://gnu-octave.github.io/packages/ Octave Packages]. Since version [https://github.com/gnu-octave/statistics/releases/tag/release-1.5.0 1.5.0], the statistics package requires Octave version 6.1 or higher. From Octave v7.2 or later, you can install the latest statistics package (currently 1.5.3) with the following command:

<code>pkg install -forge statistics</code>

The following sections provide an overview of the functions available in the statistics package sorted alphabetically and arranged in groups similarly to the package's INDEX file.

== Clustering ==

=== Available functions ===

The following table lists the available functions for clustering data.

{| class="wikitable"
! Function
! Description
|-
| [https://gnu-octave.github.io/statistics/cluster.html cluster]
| Define clusters from an agglomerative hierarchical cluster tree.
|-
| [https://gnu-octave.github.io/statistics/clusterdata.html clusterdata]
| Wrapper function for 'linkage' and 'cluster'.
|-
| [https://gnu-octave.github.io/statistics/cmdscale.html cmdscale]
| Classical multidimensional scaling of a matrix.
|-
| [https://gnu-octave.github.io/statistics/confusionmat.html confusionmat]
| Compute a confusion matrix for classification problems.
|-
| [https://gnu-octave.github.io/statistics/ConfusionMatrixChart.html ConfusionMatrixChart]
| Compute a ConfusionMatrixChart class object.
|-
| [https://gnu-octave.github.io/statistics/cophenet.html cophenet]
| Compute the cophenetic correlation coefficient.
|-
| [https://gnu-octave.github.io/statistics/evalclusters.html evalclusters]
| Create a clustering evaluation object to find the optimal number of clusters.
|-
| [https://gnu-octave.github.io/statistics/inconsistent.html inconsistent]
| Compute the inconsistency coefficient for each link of a hierarchical cluster tree.
|-
| [https://gnu-octave.github.io/statistics/kmeans.html kmeans]
| Perform a K-means clustering of an NxD matrix.
|-
| [https://gnu-octave.github.io/statistics/linkage.html linkage]
| Produce a hierarchical clustering dendrogram.
|-
| [https://gnu-octave.github.io/statistics/mhsample.html mahal]
| Mahalanobis' D-square distance.
|-
| [https://gnu-octave.github.io/statistics/mhsample.html mhsample]
| Draws NSAMPLES samples from a target stationary distribution PDF using Metropolis-Hastings algorithm.
|-
| [https://gnu-octave.github.io/statistics/optimalleaforder.html optimalleaforder]
| Compute the optimal leaf ordering of a hierarchical binary cluster tree.
|-
| [https://gnu-octave.github.io/statistics/pdist.html pdist]
| Return the distance between any two rows in X.
|-
| [https://gnu-octave.github.io/statistics/pdist2.html pdist2]
| Compute pairwise distance between two sets of vectors.
|-
| [https://gnu-octave.github.io/statistics/procrustes.html procrustes]
| Procrustes Analysis.
|-
| [https://gnu-octave.github.io/statistics/slicesample.html slicesample]
| Draws NSAMPLES samples from a target stationary distribution PDF using slice sampling of Radford M. Neal.
|-
| [https://gnu-octave.github.io/statistics/squareform.html squareform]
| Interchange between distance matrix and distance vector formats.
|}

=== TODO list ===

Missing functions:

<div style="column-count:1;-moz-column-count:1;-webkit-column-count:1">
* <code>procrustes</code>
</div>

== Data Manipulation ==

=== Available functions ===

The following table lists the available functions for data manipulation.

{| class="wikitable"
! Function
! Description
|-
| [https://gnu-octave.github.io/statistics/combnk.html combnk]
| Return all combinations of K elements in DATA.
|-
| [https://gnu-octave.github.io/statistics/crosstab.html crosstab]
| Create a cross-tabulation (contingency table) T from data vectors.
|-
| [https://gnu-octave.github.io/statistics/datasample.html datasample]
| Randomly sample data.
|-
| [https://gnu-octave.github.io/statistics/fillmissing.html fillmissing]
| Replace missing entries of array A either with values in v or as determined by other specified methods.
|-
| [https://gnu-octave.github.io/statistics/grp2idx.html grp2idx]
| Get index for group variables.
|-
| [https://gnu-octave.github.io/statistics/ismissing.html ismissing]
| Find missing data in a numeric or string array.
|-
| [https://gnu-octave.github.io/statistics/normalise_distribution.html normalise_distribution]
|  Transform a set of data so as to be N(0,1) distributed according to an idea by van Albada and Robinson. 
|-
| [https://gnu-octave.github.io/statistics/rmmissing.html rmmissing]
| Remove missing or incomplete data from an array.
|-
| [https://gnu-octave.github.io/statistics/standardizeMissing.html standardizeMissing]
| Replace data values specified by indicator in A by the standard ’missing’ data value for that data type.
|-
| [https://gnu-octave.github.io/statistics/tabulate.html tabulate]
| Compute a frequency table.
|}

== Descriptive Statistics ==

=== Available functions ===

The following table lists the available functions for descriptive statistics. 

{| class="wikitable"
! Function
! Description
|-
| [https://gnu-octave.github.io/statistics/cl_multinom.html cl_multinom]
| Confidence level of multinomial portions.
|-
| [https://gnu-octave.github.io/statistics/geomean.html geomean]
| Compute the geometric mean.
|-
| [https://gnu-octave.github.io/statistics/grpstats.html grpstats]
| Compute summary statistics by group. Fully MATLAB compatible.
|-
| [https://gnu-octave.github.io/statistics/harmmean.html harmmean]
| Compute the harmonic mean.
|-
| [https://gnu-octave.github.io/statistics/jackknife.html jackknife]
| Compute jackknife estimates of a parameter taking one or more given samples as parameters.
|-
| [https://gnu-octave.github.io/statistics/mean.html mean]
| Compute the mean. Fully MATLAB compatible.
|-
| [https://gnu-octave.github.io/statistics/median.html median]
| Compute the median. Fully MATLAB compatible.
|-
| [https://gnu-octave.github.io/statistics/nanmax.html nanmax]
| Find the maximal element while ignoring NaN values.
|-
| [https://gnu-octave.github.io/statistics/nanmin.html nanmin]
| Find the minimal element while ignoring NaN values.
|-
| [https://gnu-octave.github.io/statistics/nansum.html nansum]
| Compute the sum while ignoring NaN values.
|-
| [https://gnu-octave.github.io/statistics/std.html std]
| Compute the standard deviation. Fully MATLAB compatible.
|-
| [https://gnu-octave.github.io/statistics/trimmean.html trimmean]
| Compute the trimmed mean.
|-
| [https://gnu-octave.github.io/statistics/var.html std]
| Compute the variance. Fully MATLAB compatible.
|}

=== In external packages ===

<code>bootci</code>, <code>bootstrp</code> are implemented in the [https://gnu-octave.github.io/packages/statistics-resampling statistics-resampling] package.

=== Shadowing Octave core functions ===

The following functions will shadow the respective core functions until Octave 9.

<div style="column-count:1;-moz-column-count:1;-webkit-column-count:1">
* <code>mean</code>
* <code>median</code>
* <code>std</code>
* <code>var</code>
</div>

=== TODO list ===

Update <code>trimmean</code> function to be fully MATLAB compatible.

Re-introduce the <code>nan*</code> functions implemented in C++ with the <code>"all"</code> and <code>"vecdim"</code> options.

Re-implement the following functions from core Octave, as shadowing functions with updated functionality regarding the <code>"all"</code>, <code>"omitnan"</code>, and <code>"vecdim"</code> options, with the intend to be included in Octave 9.

<div style="column-count:1;-moz-column-count:1;-webkit-column-count:1">
* <code>cov</code>
* <code>mad</code>
* <code>meansq</code>
* <code>mode</code>
* <code>moment</code>
</div>

== Distributions ==

=== Available functions ===

The following table lists the '''cdf''', '''icdf''', '''pdf''', and '''random''' functions available in the statistics package. Since version [https://github.com/gnu-octave/statistics/releases/tag/release-1.5.3 1.5.3], all CDFs support the "upper" option for evaluating the complement of the respective CDF.

Note! The '''icdf''' wrapper for the quantile functions is not implemented yet.

{| class="wikitable"
! Distribution Name
! Cumulative Distribution Function
! Quantile Function
! Probability Density Function
! Random Generator
|-
| [https://en.wikipedia.org/wiki/Birnbaum%E2%80%93Saunders_distribution Birnbaum–Saunders]
| bbscdf
| bbsinv
| bbspdf
| bbsrnd
|-
| [https://en.wikipedia.org/wiki/Beta_distribution Beta]
| betacdf
| betainv
| betapdf
| betarndbivariate 
|-
| [[https://en.wikipedia.org/wiki/Binomial_distribution Binomial]
| binocdf
| binoinv
| binopdf
| binornd 
|-
| [https://en.wikipedia.org/wiki/Joint_probability_distribution Bivariate Normal]
| bvncdf
|
|
|
|-
| [https://en.wikipedia.org/wiki/Joint_probability_distribution Bivariate Student's <i>t</i>]
| bvtcdf
|
|
|
|-
| [https://www.mathworks.com/help/stats/burr-type-xii-distribution.html Burr Type XII]
| burrcdf
| burrinv
| burrpdf
| burrrnd
|-
| [https://en.wikipedia.org/wiki/Cauchy_distribution Cauchy]
| cauchy_cdf
| cauchy_inv
| cauchy_pdf
| cauchy_rnd
|-
| [https://en.wikipedia.org/wiki/Chi-squared_distribution Chi-squared]
| chi2cdf
| chi2inv
| chi2pdf
| chi2rnd
|-
| [https://en.wikipedia.org/wiki/Copula_(probability_theory) Copula Family]
| copulacdf
| copulainv
| copulapdf
| copularnd
|-
| [https://en.wikipedia.org/wiki/Gumbel_distribution Extreme Value]
| evcdf
| evinv
| evpdf
| evrnd
|-
| [https://en.wikipedia.org/wiki/Exponential_distribution Exponential]
| expcdf
| expinv
| exppdf
| exprnd
|-
| [https://en.wikipedia.org/wiki/F-distribution F]
| fcdf
| finv
| fpdf
| frnd
|-
| [https://en.wikipedia.org/wiki/Gamma_distribution Gamma]
| gamcdf
| gaminv
| gampdf
| gamrnd
|-
| [https://en.wikipedia.org/wiki/Geometric_distribution Geometric]
| geocdf
| geoinv
| geopdf
| geornd
|-
| [https://en.wikipedia.org/wiki/Generalized_extreme_value_distribution Generalized Extreme Value]
| gevcdf
| gevinv
| gevpdf
| gevrnd
|-
| [https://en.wikipedia.org/wiki/Generalized_Pareto_distribution Generalized Pareto]
| gpcdf
| gpinv
| gppdf
| gprnd
|-
| [https://en.wikipedia.org/wiki/Hypergeometric_distribution Hypergeometric]
| hygecdf
| hygeinv
| hygepdf
| hygernd
|-
| [https://en.wikipedia.org/wiki/Inverse-Wishart_distribution Inverse-Wishart]
|
|
| iwishpdf
| iwishrnd
|-
| [https://en.wikipedia.org/wiki/Johnson%27s_SU-distribution Johnson's SU]
| jsucdf
|
| jsupdf
|
|-
| [https://en.wikipedia.org/wiki/Laplace_distribution Laplace]
| laplace_cdf
| laplace_inv
| laplace_pdf
| laplace_rnd
|-
| [https://en.wikipedia.org/wiki/Logistic_distribution Logistic]
| logistic_cdf
| logistic_inv
| logistic_pdf
| logistic_rnd
|-
| [https://en.wikipedia.org/wiki/Log-normal_distribution Log-normal]
| logncdf
| logninv
| lognpdf
| lognrnd
|-
| [https://en.wikipedia.org/wiki/Multinomial_distribution Multinomial]
|
|
| mnpdf
| mnrnd
|-
| [https://en.wikipedia.org/wiki/Multivariate_normal_distribution Multivariate Normal]
| mvncdf
| mvninv
| mvnpdf
| mvnrnd
|-
| [https://en.wikipedia.org/wiki/Multivariate_t-distribution Multivariate Student's <i>t</i>]
| mvtcdf mvtcdfqmc
| mvtinv
| mvtpdf
| mvtrnd
|-
| [https://en.wikipedia.org/wiki/Nakagami_distribution Nakagami]
| nakacdf
| nakainv
| nakapdf
| nakarnd
|-
| [https://en.wikipedia.org/wiki/Negative_binomial_distribution Negative Binomial]
| nbincdf
| nbininv
| nbinpdf
| nbinrnd
|-
| [https://en.wikipedia.org/wiki/Noncentral_F-distribution Noncentral F]
| ncfcdf
| ncfinv
| ncfpdf
| ncfrnd
|-
| [https://en.wikipedia.org/wiki/Noncentral_t-distribution Noncentral Student's <i>t</i>]
| nctcdf
| nctinv
| nctpdf
| nctrnd
|-
| [https://en.wikipedia.org/wiki/Noncentral_chi-squared_distribution Noncentral Chi-squared]
| ncx2cdf
| ncx2inv
| ncx2pdf
| 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 <i>t</i>]
| 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
|}

=== Distribution Fitting ===

Functions available for estimating parameters and the negative log-likelihood for certain distributions.

{| class="wikitable"
! Distribution Name
! Parameter Estimation
! Negativel Log-likelihood
|-
| Extreme Value
| evfit
| evlike
|-
| Exponential
| expfit
| explike
|-
| Gamma
| gamfit
| gamlike
|-
| Generalized Extreme Value
| gevfit_lmom gevfit
| gevlike
|-
| Generalized Pareto
| gpfit
| gplike
|-
| Normal
|
| normlike
|}

=== Distribution Statistics ===

Functions available for computing ''mean'' and ''variance'' from distribution parameters.

<div style="column-count:4;-moz-column-count:4;-webkit-column-count:4">
* <code>betastat</code>
* <code>binostat</code>
* <code>chi2stat</code>
* <code>evstat</code>
* <code>expstat</code>
* <code>fstat</code>
* <code>gamstat</code>
* <code>geostat</code>
* <code>gevstat</code>
* <code>gpstat</code>
* <code>hygestat</code>
* <code>lognstat</code>
* <code>nbinstat</code>
* <code>ncfstat</code>
* <code>nctstat</code>
* <code>ncx2stat</code>
* <code>normstat</code>
* <code>poisstat</code>
* <code>raylstat</code>
* <code>fitgmdist</code>
* <code>tstat</code>
* <code>unidstat</code>
* <code>unifstat</code>
* <code>wblstat</code>
</div>

== Experimental Design ==

=== Available functions ===

Functions available for computing design matrices.

{| class="wikitable"
! Function
! Description
|-
| [https://gnu-octave.github.io/statistics/fullfact.html fullfact]
| Full factorial design.
|-
| [https://gnu-octave.github.io/statistics/ff2n.html ff2n]
| Two-level full factorial design.
|-
| [https://gnu-octave.github.io/statistics/sigma_pts.html sigma_pts]
| Calculates 2*N+1 sigma points in N dimensions.
|-
| [https://gnu-octave.github.io/statistics/x2fx.html x2fx]
| Convert predictors to design matrix.
|}

== Machine Learning ==

=== Available functions ===

The following table lists the available functions.

{| class="wikitable"
! Function
! Description
|-
| [https://gnu-octave.github.io/statistics/hmmestimate.html hmmestimate]
| Estimation of a hidden Markov model for a given sequence.
|-
| [https://gnu-octave.github.io/statistics/hmmgenerate.html hmmgenerate]
| Output sequence and hidden states of a hidden Markov model.
|-
| [https://gnu-octave.github.io/statistics/hmmviterbi.html hmmviterbi]
| Viterbi path of a hidden Markov model.
|-
| [https://gnu-octave.github.io/statistics/svmpredict.html svmpredict]
| Perform a K-means clustering of an NxD matrix.
|-
| [https://gnu-octave.github.io/statistics/svmtrain.html svmtrain]
| Produce a hierarchical clustering dendrogram.
|}

=== TODO list ===

Update <code>svmpredict</code> and <code>svmtrain</code> to libsvm 3.0.

Missing functions:

<div style="column-count:1;-moz-column-count:1;-webkit-column-count:1">
* <code>hmmdecode</code>
* <code>hmmtrain</code>
</div>

== Model Fitting ==

=== Available functions ===

Functions available for fitting or evaluating statistical models. 

{| class="wikitable"
! Function
! Description
|-
| [https://gnu-octave.github.io/statistics/crossval.html crossval]
| Perform cross validation on given data.
|-
| [https://gnu-octave.github.io/statistics/fitgmdist.html fitgmdist]
| Fit a Gaussian mixture model with K components to DATA.
|-
| [https://gnu-octave.github.io/statistics/fitlm.html fitlm]
| Regress the continuous outcome (i.e.  dependent variable) Y on continuous or categorical predictors (i.e.  independent variables) X by minimizing the sum-of-squared residuals.
|}

=== Cross Validation ===

Class of set partitions for cross-validation, used in crossval

<div style="column-count:1;-moz-column-count:1;-webkit-column-count:1">
* @cvpartition/cvpartition
* @cvpartition/display
* @cvpartition/get
* @cvpartition/repartition
* @cvpartition/set
* @cvpartition/test
* @cvpartition/training
</div>

=== TODO list ===

Missing functions:

<div style="column-count:1;-moz-column-count:1;-webkit-column-count:1">
* <code>anova</code>
* <code>manova</code>
</div>

== Hypothesis Testing ==

=== Available functions ===

Functions available for hypothesis testing

{| class="wikitable"
! Function
! Description
|-
| [https://gnu-octave.github.io/statistics/adtest.html adtest]
| Anderson-Darling goodness-of-fit hypothesis test.
|-
| [https://gnu-octave.github.io/statistics/anova1.html anova1]
| Perform a one-way analysis of variance (ANOVA)
|-
| [https://gnu-octave.github.io/statistics/anova2.html anova2]
| Performs two-way factorial (crossed) or a nested analysis of variance (ANOVA) for balanced designs.
|-
| [https://gnu-octave.github.io/statistics/anovan.html anovan]
| Perform a multi (N)-way analysis of (co)variance (ANOVA or ANCOVA) to evaluate the effect of one or more categorical or continuous predictors (i.e.  independent variables) on a continuous outcome (i.e.  dependent variable).
|-
| [https://gnu-octave.github.io/statistics/bartlett_test.html bartlett_test]
| Perform a Bartlett test for the homogeneity of variances.
|-
| [https://gnu-octave.github.io/statistics/barttest.html barttest]
| Bartlett's test of sphericity for correlation.
|-
| [https://gnu-octave.github.io/statistics/binotest.html binotest]
| Test for probability P of a binomial sample
|-
| [https://gnu-octave.github.io/statistics/chi2gof.html chi2gof]
| Chi-square goodness-of-fit test.
|-
| [https://gnu-octave.github.io/statistics/chi2test.html chi2test]
| Perform a chi-squared test (for independence or homogeneity).
|-
| [https://gnu-octave.github.io/statistics/correlation_test.html correlation_test]
| Perform a correlation coefficient test whether two samples x and y come from uncorrelated populations. 
|-
| [https://gnu-octave.github.io/statistics/fishertest.html fishertest]
| Fisher’s exact test.
|-
| [https://gnu-octave.github.io/statistics/friedman.html friedman]
| Performs the nonparametric Friedman's test to compare column effects in a two-way layout.
|-
| [https://gnu-octave.github.io/statistics/hotelling_t2test.html hotelling_t2test]
| Compute Hotelling's T^2 ("T-squared") test for a single sample or two dependent samples (paired-samples).
|-
| [https://gnu-octave.github.io/statistics/hotelling_t2test2.html hotelling_t2test2]
| Compute Hotelling's T^2 ("T-squared") test for two independent samples.
|-
| [https://gnu-octave.github.io/statistics/kruskalwallis.html kruskalwallis]
| Perform a Kruskal-Wallis test, the non-parametric alternative of a one-way analysis of variance (ANOVA).
|-
| [https://gnu-octave.github.io/statistics/kstest.html kstest]
| Single sample Kolmogorov-Smirnov (K-S) goodness-of-fit hypothesis test.
|-
| [https://gnu-octave.github.io/statistics/kstest2.html kstest2]
| Two-sample Kolmogorov-Smirnov goodness-of-fit hypothesis test.
|-
| [https://gnu-octave.github.io/statistics/levene_test.html levene_test]
| Perform a Levene's test for the homogeneity of variances.
|-
| [https://gnu-octave.github.io/statistics/manova1.html manova1]
| One-way multivariate analysis of variance (MANOVA).
|-
| [https://gnu-octave.github.io/statistics/multcompare.html multcompare]
| Perform posthoc multiple comparison tests or p-value adjustments to control the family-wise error rate (FWER) or false discovery rate (FDR).
|-
| [https://gnu-octave.github.io/statistics/ranksum.html ranksum]
| Wilcoxon rank sum test for equal medians.  This test is equivalent to a Mann-Whitney U-test.
|-
| [https://gnu-octave.github.io/statistics/regression_ftest.html regression_ftest]
| F-test for General Linear Regression Analysis
|-
| [https://gnu-octave.github.io/statistics/regression_ttest.html regression_ttest]
| Perform a linear regression t-test.
|-
| [https://gnu-octave.github.io/statistics/runstest.html runstest]
| Runs test for detecting serial correlation in the vector X.
|-
| [https://gnu-octave.github.io/statistics/sampsizepwr.html sampsizepwr]
| Sample size and power calculation for hypothesis test.
|-
| [https://gnu-octave.github.io/statistics/signtest.html signtest]
| Test for median.
|-
| [https://gnu-octave.github.io/statistics/ttest.html ttest]
| Test for mean of a normal sample with unknown variance or a paired-sample t-test.
|-
| [https://gnu-octave.github.io/statistics/ttest2.html ttest2]
| Perform a two independent samples t-test.
|-
| [https://gnu-octave.github.io/statistics/vartest.html vartest]
| One-sample test of variance.
|-
| [https://gnu-octave.github.io/statistics/vartest2.html vartest2]
| Two-sample F test for equal variances.
|-
| [https://gnu-octave.github.io/statistics/vartestn.html vartestn]
| Test for equal variances across multiple groups.
|-
| [https://gnu-octave.github.io/statistics/ztest.html ztest]
| One-sample Z-test.
|-
| [https://gnu-octave.github.io/statistics/ztest2.html ztest2]
| Two proportions Z-test.
|}

=== TODO list ===

Missing functions:

<div style="column-count:1;-moz-column-count:1;-webkit-column-count:1">
* <code>fishertest</code>
* <code>meanEffectSize</code>
</div>

== Plotting ==

=== Available functions ===

The following table lists the available functions for plotting data.

{| class="wikitable"
! Function
! Description
|-
| [https://gnu-octave.github.io/statistics/boxplot.html boxplot]
| Produce a box plot.
|-
| [https://gnu-octave.github.io/statistics/cdfplot.html cdfplot]
| Display an empirical cumulative distribution function.
|-
| [https://gnu-octave.github.io/statistics/confusionchart.html confusionchart]
| Display a chart of a confusion matrix.
|-
| [https://gnu-octave.github.io/statistics/dendrogram.html dendrogram]
| Plot a dendrogram of a hierarchical binary cluster tree.
|-
| [https://gnu-octave.github.io/statistics/ecdf.html ecdf]
| Empirical (Kaplan-Meier) cumulative distribution function.
|-
| [https://gnu-octave.github.io/statistics/gscatter.html gscatter]
| Draw a scatter plot with grouped data.
|-
| [https://gnu-octave.github.io/statistics/histfit.html histfit]
| Plot histogram with superimposed fitted normal density.
|-
| [https://gnu-octave.github.io/statistics/hist3.html hist3]
| Produce bivariate (2D) histogram counts or plots.
|-
| [https://gnu-octave.github.io/statistics/manovacluster.html manovacluster]
| Cluster group means using manova1 output.
|-
| [https://gnu-octave.github.io/statistics/normplot.html normplot]
| Produce normal probability plot of the data.
|-
| [https://gnu-octave.github.io/statistics/ppplot.html ppplot]
| Perform a PP-plot (probability plot).
|-
| [https://gnu-octave.github.io/statistics/qqplot.html qqplot]
| Perform a QQ-plot (quantile plot).
|-
| [https://gnu-octave.github.io/statistics/silhouette.html silhouette]
| Compute the silhouette values of clustered data and show them on a plot.
|-
| [https://gnu-octave.github.io/statistics/violin.html violin]
| Produce a Violin plot of the data.
|-
| [https://gnu-octave.github.io/statistics/wblplot.html wblplot]
| Plot a column vector DATA on a Weibull probability plot using rank regression.
|}

=== TODO list ===

Missing functions:

<div style="column-count:1;-moz-column-count:1;-webkit-column-count:1">
* <code>andrewsplot</code>
* <code>bar3</code>
* <code>bar3h</code>
* <code>glyphplot</code>
* <code>gplotmatrix</code>
* <code>parallelcoords</code>
</div>

== Regression ==

=== Available functions ===

The following table lists the available functions for regression analysis.

{| class="wikitable"
! Function
! Description
|-
| [https://gnu-octave.github.io/statistics/canoncorr.html canoncorr]
| Canonical correlation analysis.
|-
| [https://gnu-octave.github.io/statistics/cholcov.html cholcov]
| Cholesky-like decomposition for covariance matrix.
|-
| [https://gnu-octave.github.io/statistics/dcov.html dcov]
| Distance correlation, covariance and correlation statistics.
|-
| [https://gnu-octave.github.io/statistics/logistic_regression.html logistic_regression]
| Perform ordinal logistic regression.
|-
| [https://gnu-octave.github.io/statistics/monotone_smooth.html monotone_smooth]
| Produce a smooth monotone increasing approximation to a sampled functional dependence.
|-
| [https://gnu-octave.github.io/statistics/pca.html pca]
| Performs a principal component analysis on a data matrix.
|-
| [https://gnu-octave.github.io/statistics/pcacov.html pcacov]
| Perform principal component analysis on the NxN covariance matrix X
|-
| [https://gnu-octave.github.io/statistics/pcares.html pcares]
| Calculate residuals from principal component analysis.
|-
| [https://gnu-octave.github.io/statistics/plsregress.html plsregress]
| Calculate partial least squares regression using SIMPLS algorithm.
|-
| [https://gnu-octave.github.io/statistics/princomp.html princomp]
| Performs a principal component analysis on a NxP data matrix.
|-
| [https://gnu-octave.github.io/statistics/regress.html regress]
| Multiple Linear Regression using Least Squares Fit.
|-
| [https://gnu-octave.github.io/statistics/regress_gp.html regress_gp]
| Linear scalar regression using gaussian processes.
|-
| [https://gnu-octave.github.io/statistics/stepwisefit.html stepwisefit]
| Linear regression with stepwise variable selection.
|}

=== TODO list ===

Missing functions:

<div style="column-count:1;-moz-column-count:1;-webkit-column-count:1">
* <code>glmfit</code>
* <code>glmval</code>
* <code>mnrfit</code>
* <code>mnrval</code>
</div>

== Wrappers ==

=== Available functions ===

Functions available for wrapping other functions or group of functions.

{| class="wikitable"
! Function
! Description
|-
| [https://gnu-octave.github.io/statistics/cdf.html cdf]
| This is a wrapper for the NAMEcdf and NAME_cdf functions available in the statistics package.
|-
| [https://gnu-octave.github.io/statistics/icdf.html icdf]
| This is a wrapper for the NAMEinv and NAME_inv functions available in the statistics package.
|-
| [https://gnu-octave.github.io/statistics/pdf.html pdf]
| This is a wrapper for the NAMEpdf and NAME_pdf functions available in the statistics package.
|-
| [https://gnu-octave.github.io/statistics/random.html random]
| Generates pseudo-random numbers from a given one-, two-, or three-parameter distribution.
|}

[[Category:Packages]]
[[Category:Missing functions]]