| Name | Description |
|---|
| AndersonDarling | Anderson-Darling GOF test. |
| BartlettTest | Performs the Bartlett test for dimensionality of data. |
| BetaFit (2) | Calculate parameters for Beta distributed values. |
| BetaLike (2) | |
| BinomFit (4) | Calculate parameters for binomial distributed values. |
| CauchyFit (2) | Calculate the parameters and their (1-Alpha) confidence invervals for Cauchy distributed values. |
| ChiSquareFit | Calculate parameters for Chi-Squared distributed values. |
| ChiSquareTest | Chi-Squared Test. |
| CorrCoef (3) | Pearson correlation coefficients. |
| Covariance (3) | Calculate the variance-covariance matrix (Result), assuming vectors X and Y are two variable and their elements are the observations. |
| CronbachAlpha | The Cronbach Alpha coefficient. |
| CumulativeHist (2) | Cumulative histogram. |
| EmpiricalCDF | Empirical CDF. |
| ErlangFit | Calculate parameters for Erlang distributed values. |
| ExponentFit (2) | Calculate parameters for exponentialy distributed values. |
| FFit | Calculate parameter for Fisher-F distributed values. |
| FTest | F Test. |
| FullFactDesign (2) | Performs Mixed-Level Full Factorial Design. |
| GammaFit (2) | Calculate parameters for Gamma distributed values. |
| GeometricFit (2) | Calculate parameters for geometrically distributed values. |
| GOFBeraJarqueTest | The Bera-Jarque GOF test to a normal distribution. |
| GOFChi2Test (2) | The Chi-Squared goodness of fit test. |
| GOFKolmogorov (2) | Two sample Kolmogorov-Smirnov GOF test. |
| GOFLillieTest | The Lilliefors GOF test to a normal distribution. |
| GrubbsTest | Grubb's test for outliers. |
| Histogram (5) | Histogram. |
| HotellingT2One | One-sample Hotelling T2 test. |
| HotellingT2Two | Two-sample Hotelling T2 test. |
| InterQuartile | InterQuartile range. |
| InverseGaussianFit (2) | Calculate parameters for inverse Gaussian distributed values. |
| LaplaceFit | Calculate parameters for Laplace distributed values. |
| LatinHyperCubeDesign | Latin Hyper-Cube design. |
| LogisticFit | Calculate parameters for Logistic distributed values. |
| LogNormalFit (2) | Calculate parameters for log-normally distributed values. |
| MannWCDF1 | |
| MannWhitneyTest | Two sample Mann-Whitney test. |
| MaxwellFit | Calculate parameters for Maxwell distributed values. |
| MBoxTest | M-Box test for equal covariances. |
| MDScaleMetric | Classical multidimensional scaling. |
| MDScaleStress | The stress factor for multidimensional scaling. |
| MeanG | Geometric mean. |
| MeanH | Harmonic mean. |
| MeanT | Trimmed mean. |
| mode (2) | Mode of all Src vector elements. |
| Moment | Moments. |
| NegBinomFit | Calculate parameters for negative binomial distributed values. |
| NormalFit (2) | Calculate parameters for normally distributed values. |
| OrthogonalRotation | Orthogonal rotation of matrix. |
| PairwiseDistance | Pairwise distance. |
| PCA (2) | Perform a PCA on Data matrix, where Data columns are variables and rows are the observables. |
| PCAResiduals | PC residuals. |
| Percentile (2) | Percentile. |
| PoissonFit (2) | Calculate parameters for Poisson distributed values. |
| RangeCols | Range for matrix columns. |
| RangeRows | Range for matrix rows. |
| Ranks | Rank vector elements (no tie adjustment). |
| RayleighFit (2) | Calculate parameters for Rayleigh distributed values. |
| RemoveColumn | Remove matrix column. |
| RemoveRow | Remove matrix row. |
| ShapiroFrancia | The Shapiro-Francia test for normality of data. |
| ShapiroWilks | The Shapiro-Wilks test for normality of data. |
| SignTest (2) | Performs paired Sign test. The routine tests the null hypothesis that Data1 and Data2 have equal median value. |
| SpearmanRankCorr | Spearman rank correlation test. |
| StudentFit | Calculate parameter for Student-T distributed values. |
| TiedRanks | Tied ranks for vector elements. |
| TriangularFit | Calculate parameters for Triangular distributed values. |
| tTest (2) | Performs the two sample pooled or paired t-test. |
| UniformDFit (2) | Calculate parameters for discrete uniformly distributed values. |
| UniformFit (2) | Calculate parameters for uniformly distributed values. |
| Unique | Finds the unique elements in vector/matrix. |
| WeibullFit (2) | Calculate parameters for Weibull distributed values. |
| WilcoxonSign (2) | Performs two-sample Wilcoxon Signed-Rank test by comparing Data1 and Data2 medians. |
| ZTest | Z Test. |