 anderson_darling_cdf | % |
| anderson_darling_test | % anderson_darling_test (@var{x}, @var{distribution}) |
| anovan | % Perform a multi-way analysis of variance (ANOVA). The goal is to test |
| betastat | % Compute mean and variance of the beta distribution. |
| binostat | % Compute mean and variance of the binomial distribution. |
| boxplot | % @var{symbol}, @var{vertical}, @var{maxwhisker}) |
| caseread | % Read case names from an ascii file. |
| casewrite | % Write case names to an ascii file. |
| chi2stat | % Compute mean and variance of the chi-square distribution. |
| cl_multinom | -*- texinfo -*- |
| copulacdf | % Compute the cumulative distribution function of a copula family. |
| copulapdf | % Compute the probability density function of a copula family. |
| expstat | % Compute mean and variance of the exponential distribution. |
| ff2n | % full-factor design with n binary terms. |
| fstat | % Compute mean and variance of the F distribution. |
| fullfact | % Full factorial design. |
| gamfit | % Finds the maximumlikelihood estimator for the Gamma distribution for R |
| gamlike | % Calculates the negative log-likelihood function for the Gamma |
| gamstat | % Compute mean and variance of the gamma distribution. |
| geomean | % Compute the geometric mean. |
| geostat | % Compute mean and variance of the geometric distribution. |
| harmmean | % Compute the harmonic mean. |
| histfit | % |
| hmmestimate | % Estimate the matrix of transition probabilities and the matrix of output |
| hmmgenerate | % Generate an output sequence and hidden states of a hidden Markov model. |
| hmmviterbi | % Use the Viterbi algorithm to find the Viterbi path of a hidden Markov |
| hygestat | % Compute mean and variance of the hypergeometric distribution. |
| jsucdf | % For each element of @var{x}, compute the cumulative distribution |
| jsupdf | % For each element of @var{x}, compute the probability density function |
| linkage | % {@var{y} =} linkage (@var{x}, @var{method}, @var{metric}) |
| lognstat | % Compute mean and variance of the lognormal distribution. |
| mad | % Compute the mean/median absolute deviation of @var{x}. |
| mvncdf | % Compute the cumulative distribution function of the multivariate |
| mvnpdf | % Compute multivariate normal pdf for @var{x} given mean @var{mu} and covariance matrix |
| mvnrnd | % Draw @var{n} random @var{d}-dimensional vectors from a multivariate Gaussian |
| mvtcdf | % Compute the cumulative distribution function of the multivariate |
| nanmax | % Find the maximal element while ignoring NaN values. |
| nanmean | % Compute the mean value while ignoring NaN values. |
| nanmedian | % Compute the median of data while ignoring NaN values. |
| nanmin | % Find the minimal element while ignoring NaN values. |
| nanstd | % Compute the standard deviation while ignoring NaN values. |
| nansum | % Compute the sum while ignoring NaN values. |
| nanvar | Copyright (C) 2008 Sylvain Pelissier |
| nbinstat | % Compute mean and variance of the negative binomial distribution. |
| normplot | % |
| normstat | % Compute mean and variance of the normal distribution. |
| pdist | % |
| poisstat | % Compute mean and variance of the Poisson distribution. |
| prctile | % Computes the value associated with the @var{p}-th percentile of |
| princomp | % |
| random | % Generates pseudo-random numbers from a given one-, two-, or three-parameter |
| raylcdf | % Compute the cumulative distribution function of the Rayleigh |
| raylinv | % Compute the quantile of the Rayleigh distribution. The quantile is the |
| raylpdf | % Compute the probability density function of the Rayleigh distribution. |
| raylrnd | % Generate a matrix of random samples from the Rayleigh distribution. |
| raylstat | % Compute mean and variance of the Rayleigh distribution. |
| regress | % Multiple Linear Regression using Least Squares Fit of @var{y} on @var{X} |
| squareform | % 'tovector') |
| tabulate | % |
| tblread | % Read tabular data from an ascii file. |
| tblwrite | % Write tabular data to an ascii file. |
| trimmean | % |
| tstat | % Compute mean and variance of the t (Student) distribution. |
| unidstat | % Compute mean and variance of the discrete uniform distribution. |
| unifstat | % Compute mean and variance of the continuous uniform distribution. |
| wblstat | % Compute mean and variance of the Weibull distribution. |
| zscore | % Compute the @math{z}-score. |
Master index