The library contains the following modules. Each module is described in detail at the end of this chapter.
converts a matrix into a column vector
computes the exponential of a matrix
draws a box-and-whiskers plot
draws a scatter plot with bivariate normal probability contours
draws scatter plots of - data
computes Mahalanobis distance
returns the median of numeric data
converts matrix indices to subscripts
performs quadratic regression
computes quartiles
generates a random sample from a Dirichlet distribution
generates a random sample from a multinomial distribution
generates a random sample from a multivariate Student’s distribution
generates a random sample from a multivariate normal distribution
generates a random sample from a Wishart distribution
performs regression analysis
converts a matrix into a row vector
replaces substrings
standardizes numeric data
converts matrix subscripts to indices
prints matrices in tabular format