Basic statistical routines.
Introduces basic statistical routines, including hypothesis testing, distribution parameter estimation, descriptive statistics, ...
Name |
Description |
The following table lists functions in this documentation. | |
The following table lists structs, records, enums in this documentation. | |
The following table lists types in this documentation. |
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Name |
Description |
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Anderson-Darling GOF test. | |
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Performs the Bartlett test for dimensionality of data. | |
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Calculate parameters for Beta distributed values using MLE. | |
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Calculate parameters for Beta distributed values. | |
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This is function Statistics.BetaLike. | |
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This is function Statistics.BetaLike. | |
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Calculate parameters for binomial distributed values. | |
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Calculate parameters for binomial distributed values. | |
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Calculate parameters for Cauchy distributed values. | |
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Calculate the parameters and their (1-Alpha) confidence invervals for Cauchy distributed values. | |
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Calculate parameters for Chi-Squared distributed values. | |
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Chi-Squared Test. | |
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Pearson correlation coefficients. | |
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Pearson correlation coefficients. | |
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Pearson correlation coefficients between matrix rows and cols. | |
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Calculate the variance-covariance matrix (Result), assuming vectors X and Y are two variable and their elements are the observations. | |
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Calculate the covariance matrix (Result), assuming matrix X columns are variables and its rows are observations. | |
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Covariance/variance. | |
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The Cronbach Alpha coefficient. | |
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Divide the Data vector elements into NumBins equal intervals. | |
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Cumulative histogram. | |
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Empirical CDF. | |
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Calculate parameters for Erlang distributed values. | |
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Calculate parameters for exponentialy distributed values. | |
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Calculate parameters for exponentially distributed values. | |
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Calculate parameter for Fisher-F distributed values. | |
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F Test. | |
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Creates the factors for full factorial design. | |
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Performs Mixed-Level Full Factorial Design. | |
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Calculate parameters for Gamma distributed values using MLE. | |
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Calculate parameters for Gamma distributed values. | |
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Calculate parameters for geometrically distributed values. | |
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Calculate parameters for geometrically distributed values. | |
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The Bera-Jarque GOF test to a normal distribution. | |
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The Chi-Squared goodness of fit test. | |
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The Chi-Squared goodness of fit test. | |
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One sample Kolmogorov-Smirnov GOF test. | |
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Two sample Kolmogorov-Smirnov GOF test. | |
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The Lilliefors GOF test to a normal distribution. | |
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Grubb's test for outliers. | |
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Divide the Data vector elements into NumBins equal intervals. | |
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Divide the Data vector elements into NumBins equal intervals. | |
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Histogram. | |
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One-sample Hotelling T2 test. | |
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Two-sample Hotelling T2 test. | |
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InterQuartile range. | |
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Calculate parameters for inverse Gaussian distributed values. | |
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Mu and lambda for inverse Gaussian distributed values. | |
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Calculate parameters for Laplace distributed values. | |
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Latin Hyper-Cube design. | |
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Calculate parameters for Logistic distributed values. | |
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Calculate parameters for log-normally distributed values. | |
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Calculate parameters for log-normally distributed values. | |
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This is function Statistics.MannWCDF1. | |
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Two sample Mann-Whitney test. | |
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Calculate parameters for Maxwell distributed values. | |
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M-Box test for equal covariances. | |
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Classical multidimensional scaling. | |
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The stress factor for multidimensional scaling. | |
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Geometric mean. | |
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Harmonic mean. | |
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Trimmed mean. | |
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Mode of all Src vector elements. | |
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Mode of Src vector elements [SrcIndex..SrcIndex+Len]. | |
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Moments. | |
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Calculate parameters for negative binomial distributed values. | |
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Calculate parameters for normally distributed values. | |
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Calculate parameters for normally distributed values. | |
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Orthogonal rotation of matrix. | |
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Pairwise distance. | |
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Perform a PCA on Data matrix, where Data columns are variables and rows are the observables. | |
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Performs a principal component analysis (PCA). | |
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PC residuals. | |
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Percentile (several percentiles in one go). | |
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Percentile. | |
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Calculate parameters for Poisson distributed values. | |
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Calculate parameters for Poisson distributed values. | |
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Range for matrix columns. | |
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Range for matrix rows. | |
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Rank vector elements (no tie adjustment). | |
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Calculate parameters for Rayleigh distributed values. | |
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Calculate parameters for Rayleigh distributed values. | |
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Remove matrix column. | |
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Remove matrix row. | |
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The Shapiro-Francia test for normality of data. | |
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The Shapiro-Wilks test for normality of data. | |
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Performs paired Sign test. The routine tests the null hypothesis that Data1 and Data2 have equal median value. | |
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One or two-sample Sign test. | |
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Spearman rank correlation test. | |
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Calculate parameter for Student-T distributed values. | |
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Tied ranks for vector elements. | |
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Calculate parameters for Triangular distributed values. | |
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Performs the two sample pooled or paired t-test. | |
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One or two sample paired or pooled T-test. | |
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Calculate parameters for discrete uniformly distributed values. | |
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Calculate parameters for discrete uniformly distributed values. | |
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Calculate parameters for uniformly distributed values. | |
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Calculate parameters for uniformly distributed values. | |
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Finds the unique elements in vector/matrix. | |
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Calculate parameters for Weibull distributed values using MLE. | |
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Calculate parameters for Weibull distributed values. | |
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Performs two-sample Wilcoxon Signed-Rank test by comparing Data1 and Data2 medians. | |
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One or two-sample Wilcoxon signed rank test. | |
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Z Test. |
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Name |
Description |
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Defines Hotelling T2 test type. | |
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Defines result of the hypothesis test. | |
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Defines one or two sided hypothesis testing. | |
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Defines the criterion for measuring the improvement of Latih Hypercube DOE. | |
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Defines the rotation method. | |
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Defines type of Principal Component Analysis (PCA). | |
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Defines methods for calculatating percentile. | |
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Defines method for pairwise distance calculation. |
Name |
Description |
Defines the array of two double elements. |
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