trip2sparseMatrix: Convert a table-style sparse matrix representation to a...

In CreRecombinase/FGEM: R package for Functional Genomics using Expectation Maximization (FGEM)

Description

Convert a table-style sparse matrix representation to a sparse matrix

Usage

trip2sparseMatrix(
  rowname_vals,
  colname_vals,
  values = rep(1, length(colname_vals)),
  total_rownames = unique(rowname_vals),
  total_colnames = unique(colname_vals),
  add_intercept = TRUE,
  csr = FALSE
)

Arguments

rowname_vals	vector with the rownames of the values
colname_vals	vector with the colnames of the values
values	the values themselves (default is 1.0)
total_rownames	the universe of rownames, defaults to all the unique rowname_vals
total_colnames	the universe of colnames, defaults to all the unique colname_vals
add_intercept	whether to add an intercept term ("Intercept" will be added to total_colnames)

Value

a sparse matrix of dim(length(total_rownames),length(total_colnames)) with (at most) length(values) non-zero values

CreRecombinase/FGEM documentation built on July 17, 2020, 5:30 a.m.