Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library: xplore

addlist Adds components to an existing list or creates a new list with specific components.
aseq Computes an additive sequence.
corr Computes the correlation (Bravais-Pearson) structure of a given array.
countNaN Counts how many missing values (NaN) are in an array.
countNotNumber Counts how many elements of an array are missing values, infinity or -infinity (NaN,Inf or -Inf).
cov Computes the covariance structure of a given array.
diff Computes first differences (along the rows) of an array.
discrete Reduces a matrix to its distinct rows and gives the number of replications of each row in the original dataset. An optional second matrix y can be given, the rows of y are summed up accordingly.
dpls calculating latent variables, weights, loadings and path coefficients with dynamic partial least squares algorithm
eigensm Computes the eigenvalues and eigenvectors of symmetric matrices and sorts by the eigenvalues in descending order.
excess Computes the excess (kurtosis-3) for a given vector.
factorial Computes the factorial for all values in an array.
gennorm Generates observations from a multivariate normal distribution with given mean vector and covariance matrix.
ginv Calculates a pseudo-inverse of x, such that x*ginv(x)*x = x.
gls Computes the Generalized Least Squares estimate for the coefficients of a linear model when the errors have as covariance matrix sigma^2 * om.
isInf Determines whether elements of an array are infinity or -infinity (Inf or -Inf).
isNaN Determines whether elements of an array are missing values (NaN).
isNumber Determines whether elements of an array are usual figures or not (NaN, Inf, -Inf).
kron Computes the Kronecker product of two matrices.
kurtosis Computes the kurtosis for a given vector.
makedesign generates with help of userdialog design matrices for the dpls macro (dynamic partial least squares algorithm)
median Computes the empirical medians of a given array.
mseq Computes a multiplicative sequence.
order Computes the order vector of a given vector.
quantile Computes the empirical quantiles of a given array.
rank Computes the rank vector of a given vector.
rankm Computes the rank r of a matrix x.
readm readm reads mixed data from a file.
reduce Deletes all dimensions with only a single component.
redun calculating single redundance and redundance vector for dpls macro as measure for goodness
replace Replaces values by other values.
round Rounds to a given precision. If the precision is omitted the nearest integer is given back.
sign Computes the sign function (0, -1, 1) for zeros, negative or positive values.
skewness Computes the skewness for a given vector.
stack Joins two arrays along the third dimension.
unit Calculates a d-dimensional identity matrix.
xdiag Extracts diagonal elements from matrices.
xdiagp Calculates the diagonal elements of a projection matrix.
xploremain Example for usage of main routines of libraries.
xploretest Executes some tests for the macros defined in xplore.lib.
zeros Creates an array of zeros.

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

(C) MD*TECH Method and Data Technologies, 28.6.1999