booltype: Diagnosing boolean types

In bit: Classes and Methods for Fast Memory-Efficient Boolean Selections

Diagnosing boolean types

Description

Specific methods for booltype are required, where non-unary methods can combine multiple bollean types, particularly boolean binary operators.

Usage

booltype(x)

Arguments

x	an R object

Details

Function booltype returns the boolean type of its argument. There are currently six boolean types, booltypes is an ordered() vector with the following ordinal levels():

• nobool: non-boolean type

• logical(): for representing any boolean data including NA

• bit(): for representing dense boolean data

• bitwhich(): for representing sparse (skewed) boolean data

• which(): for representing sparse boolean data with few 'TRUE

• ri(): range-indexing, for representing sparse boolean data with a single range of TRUE

Value

one scalar element of booltypes() in case of 'nobool' it carries a name attribute with the data type.

Note

do not rely on the internal integer codes of these levels, we might add-in hi later

See Also

booltypes(), is.booltype(), as.booltype()

Examples

unname(booltypes)
str(booltypes)
sapply(
  list(double(), integer(), logical(), bit(), bitwhich(), as.which(), ri(1, 2, 3)),
  booltype
)

bit documentation built on April 4, 2025, 3:09 a.m.