Master index Index for ./freetb4matlab/statistics/base

# Index for ./freetb4matlab/statistics/base

## Matlab files in this directory:

 center % If @var{x} is a vector, subtract its mean. cloglog % Return the complementary log-log function of @var{x}, defined as cor % Compute correlation. corrcoef % Compute correlation. cov % Compute covariance. cut % Create categorical data out of numerical or continuous data by gls % Generalized least squares estimation for the multivariate model histc % Produce histogram counts. iqr % If @var{x} is a vector, return the interquartile range, i.e., the kendall % Compute Kendall's @var{tau} for each of the variables specified by kurtosis % If @var{x} is a vector of length @math{N}, return the kurtosis logit % For each component of @var{p}, return the logit of @var{p} defined as mahalanobis % Return the Mahalanobis' D-square distance between the multivariate mean % If @var{x} is a vector, compute the mean of the elements of @var{x} meansq % For vector arguments, return the mean square of the values. median % If @var{x} is a vector, compute the median value of the elements of mode % Count the most frequently appearing value. @code{mode} counts the moment % If @var{x} is a vector, compute the @var{p}-th moment of @var{x}. ols % Ordinary least squares estimation for the multivariate model ppplot % Perform a PP-plot (probability plot). prctile % For a sample @var{x}, compute the quantiles, @var{y}, corresponding probit % For each component of @var{p}, return the probit (the quantile of the qqplot % Perform a QQ-plot (quantile plot). quantile % For a sample, @var{x}, calculate the quantiles, @var{q}, corresponding to range % If @var{x} is a vector, return the range, i.e., the difference ranks % Return the ranks of @var{x} along the first non-singleton dimension run_count % Count the upward runs along the first non-singleton dimension of skewness % If @var{x} is a vector of length @math{n}, return the skewness spearman % Compute Spearman's rank correlation coefficient @var{rho} for each of statistics % If @var{x} is a matrix, return a matrix with the minimum, first std % If @var{x} is a vector, compute the standard deviation of the elements studentize % If @var{x} is a vector, subtract its mean and divide by its standard table % Create a contingency table @var{t} from data vectors. The @var{l} values % Return the different values in a column vector, arranged in ascending var % For vector arguments, return the (real) variance of the values.

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