Package index • lazymatrix

All functions

`-`(<ANY>,<LazyColumn>): Vector Subtraction between regular vector and LazyColumn
Compare(<LazyColumn>,<numeric>): Comparison operators for LazyColumn
Compare(<numeric>,<LazyColumn>): Comparison operators for LazyColumn
`-`(<LazyColumn>,<ANY>): Vector subtraction between a LazyColumn vector and a regular R vector.
`-`(<LazyColumn>,<LazyColumn>): Vector Subtraction between two LazyColumn vectors.
LazyColumn-class: LazyColumn S4 class
LazyMatrix-class: LazyMatrix S4 class
LazyMatrix(): Constructs a LazyMatrix object.
colnames(<LazyMatrix>): Retrieve or set the row or column names of a LazyMatrix object.
crossprod(<LazyMatrix>,<ANY>): Crossproduct for LazyMatrix
dim(<LazyMatrix>): Returns the dimension of a LazyMarix Object.
`%*%`(<ANY>,<LazyMatrix>): Matrix multiplication for vector and LazyMatrix
`%*%`(<LazyColumn>,<LazyColumn>): Perform the dot product between two LazyColumn vectors
`%*%`(<LazyColumn>,<numeric>): Perform the dot product between a LazyColumn and a numeric vector
`%*%`(<LazyMatrix>,<ANY>): Matrix multiplication for LazyMatrix and vector
`%*%`(<LazyMatrix>,<matrix>): Matrix multiplication for LazyMatrix and matrix-object.
`%*%`(<numeric>,<LazyColumn>): Perform the dot product between a numeric vectorand a LazyColumn
lazy_crossprod_vec(): Fast crossprod for LazyMatrix (dense case)
lazy_crossprod_vec_sp(): Fast crossprod for LazyMatrix (sparse case)
length(<LazyColumn>): Get the length of a LazyColumn
lsqr(): Performs least squares estimation on LazyMatrix object using the iterative lsqr algorithm.
ncol(<LazyMatrix>): Returns the number of columns of the data matrix
norm(<LazyColumn>): Perform the norm of a LazyColumn vector
norm(<LazyMatrix>): Computes the Frobenius norm of a LazyMatrix object.
norm(): Compute the norm of a LazyMatrix or LazyColumn
nrow(<LazyMatrix>): Returns the number of rows of the data matrix
`+`(<ANY>,<LazyColumn>): Vector Addition between regular vector and LazyColumn
`+`(<LazyColumn>,<ANY>): Vector Addition between LazyColumn and regular vector
`+`(<LazyColumn>,<LazyColumn>): Vector Addition between two LazyColumn vectors.
prcomp(<LazyMatrix>): Performs a principal component analysis on the LazyMatrix object using irlba:s sparse svd.
setNames(<LazyColumn>,<character>): Set names for a LazyColumn
`[`(<LazyColumn>,<ANY>,<ANY>,<ANY>): Subset a LazyColumn
`[`(<LazyMatrix>,<ANY>,<ANY>,<ANY>): Subset a LazyMatrix by columns
svd(<LazyMatrix>): Singular Value decomposition for LazyMatrix.
t(<LazyMatrix>): Given a LazyMatrix x, t returns the transpose of x.
`*`(<LazyColumn>,<LazyColumn>): Multiply element-wise two LazyColumn vectors
`*`(<LazyColumn>,<numeric>): Multiply a LazyColumn by a numeric scalar or vector
`*`(<numeric>,<LazyColumn>): Multiply a numeric scalar or vector by a LazyColumn