The SpecialIndex class.

This class represents indexing using logical indexing or a list of indices into a matrix.

# S4 method for class 'Expression,index,missing,ANY'
x[i, j, ..., drop = TRUE]

# S4 method for class 'Expression,missing,index,ANY'
x[i, j, ..., drop = TRUE]

# S4 method for class 'Expression,index,index,ANY'
x[i, j, ..., drop = TRUE]

# S4 method for class 'Expression,matrix,index,ANY'
x[i, j, ..., drop = TRUE]

# S4 method for class 'Expression,index,matrix,ANY'
x[i, j, ..., drop = TRUE]

# S4 method for class 'Expression,matrix,matrix,ANY'
x[i, j, ..., drop = TRUE]

# S4 method for class 'Expression,matrix,missing,ANY'
x[i, j, ..., drop = TRUE]

SpecialIndex(expr, key)

# S4 method for class 'SpecialIndex'
name(x)

# S4 method for class 'SpecialIndex'
is_atom_log_log_convex(object)

# S4 method for class 'SpecialIndex'
is_atom_log_log_concave(object)

# S4 method for class 'SpecialIndex'
get_data(object)

# S4 method for class 'SpecialIndex'
.grad(object)

Arguments

x, object

An Index object.

i, j

The row and column indices of the slice.

...

(Unimplemented) Optional arguments.

drop

(Unimplemented) A logical value indicating whether the result should be coerced to the lowest possible dimension.

expr

An Expression representing a vector or matrix.

key

A list containing the start index, end index, and step size of the slice.

Methods (by generic)

• name(SpecialIndex): Returns the index in string form.

• is_atom_log_log_convex(SpecialIndex): Is the atom log-log convex?

• is_atom_log_log_concave(SpecialIndex): Is the atom log-log concave?

• get_data(SpecialIndex): A list containing key.

• .grad(SpecialIndex): Gives the (sub/super)gradient of the atom w.r.t. each variable

Slots

expr

An Expression representing a vector or matrix.

key

A list containing the start index, end index, and step size of the slice.