Perform Complex Matrix Operations Symbolically on Sparse Matrices


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Documentation for package ‘lazymatrix’ version 0.1.0

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%*%-method Matrix multiplication for vector and 'LazyMatrix'
%*%-method Perform the dot product between two LazyColumn vectors
%*%-method Perform the dot product between a LazyColumn and a numeric vector
%*%-method Matrix multiplication for 'LazyMatrix' and vector
%*%-method Matrix multiplication for 'LazyMatrix' and matrix-object.
%*%-method Perform the dot product between a numeric vectorand a LazyColumn
*-method Multiply element-wise two LazyColumn vectors
*-method Multiply a LazyColumn by a numeric scalar or vector
*-method Multiply a numeric scalar or vector by a LazyColumn
+-method Vector Addition between regular vector and 'LazyColumn'
+-method Vector Addition between 'LazyColumn' and regular vector
+-method Vector Addition between two 'LazyColumn' vectors.
--method Vector Subtraction between regular vector and 'LazyColumn'
--method Vector subtraction between a 'LazyColumn' vector and a regular R vector.
--method Vector Subtraction between two 'LazyColumn' vectors.
colnames-method Retrieve or set the row or column names of a LazyMatrix object.
Compare-method Comparison operators for LazyColumn
Compare-method Comparison operators for LazyColumn
crossprod-method Crossproduct for 'LazyMatrix'
dim-method Returns the dimension of a LazyMarix Object.
LazyColumn-class LazyColumn S4 class
LazyMatrix Constructs a LazyMatrix object.
LazyMatrix-class LazyMatrix S4 class
lazy_crossprod_vec Fast crossprod for LazyMatrix (dense case)
lazy_crossprod_vec_sp Fast crossprod for LazyMatrix (sparse case)
length-method Get the length of a LazyColumn
lsqr Performs least squares estimation on LazyMatrix object using the iterative lsqr algorithm.
lsqr-method Performs least squares estimation on LazyMatrix object using the iterative lsqr algorithm.
ncol-method Returns the number of columns of the data matrix
norm Compute the norm of a LazyMatrix or LazyColumn
norm-method Perform the norm of a LazyColumn vector
norm-method Computes the Frobenius norm of a 'LazyMatrix' object.
nrow-method Returns the number of rows of the data matrix
prcomp-method Performs a principal component analysis on the LazyMatrix object using irlba:s sparse svd.
setNames-method Set names for a LazyColumn
subset-LazyColumn Subset a LazyColumn
subset-LazyMatrix Subset a LazyMatrix by columns
svd-method Singular Value decomposition for 'LazyMatrix'.
t-method Given a 'LazyMatrix' x, t returns the transpose of x.
[-method Subset a LazyColumn
[-method Subset a LazyMatrix by columns