sglOptim (version 1.3.8)

create.sgldata: Create a sgldata object

Description

Creates a sgldata object from a design matrix and an optional response vector or matrix.

Usage

create.sgldata(x, y, response_dimension = .get_response_dimension(y),
  response_names = .get_response_names(y), sparseX = is(x,
  "sparseMatrix"), sparseY = is(y, "sparseMatrix"),
  typeX = element_class(x), typeY = element_class(y))

Arguments

x

the design matrix, a matrix of size \(N \times p\) (will be parsed to the loss module as X).

y

the responses, NULL, a vector or a matrix (will be parsed to the loss module as matrix Y)..

response_dimension

number of models, that is the dimension of the returned response.

response_names

names of models, that is the names of the elements of the returned response.

sparseX

if TRUE x will be treated as sparse, if FALSE x will be treated as dens.

sparseY

if TRUE y will be treated as sparse, if FALSE y will be treated as dens.

typeX

type of the elements of x.

typeY

type of the elements of y.

See Also

Other sgldata: add_data.sgldata, prepare.args.sgldata, prepare.args, prepare_data, rearrange.sgldata, subsample.sgldata