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.
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.
indexcat returns the indices of the elements of a vector which fall into specified category.
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.
median Computes the empirical medians of a given array.
merge combines columnwise up to eight 2-dim arrays with different dimension, the difference in rows dimensions is replaced with NaNīs
merge1 support quantlet for merge (see merge)
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.
readcsv readcsv reads numerical data from csv file
readcsvm readcsvm reads mixed data from the csv file
readm readm reads mixed data from a file.
reduce Deletes all dimensions with only a single component.
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.
symroot Calculates the symmetric root of a symmetric positive semidefinite matrix,(s.p.s.d.) ie. symroot(x)=symroot(x)' and symroot(x)*symroot(x) = x. uesful for simulation of multivariate normal variates with a given Covariance Structure
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, 21.9.2000