Description Usage Arguments Details Value Author(s) See Also Examples

Fast aggregation functions for `booltype`

vectors. namely `bit`

, `all`

, `any`

, `anyNA`

,
`min`

, `max`

, `range`

,
`sum`

and `summary`

.
Now all boolean summaries (except for `anyNA`

because the generic does not allow it) have an optional `range`

argument to restrict the range of evalution.
Note that the boolean summaries have meaning and return values differing from logical aggregation functions: they treat `NA`

as `FALSE`

,
`min`

, `max`

and `range`

give the minimum and maximum positions of `TRUE`

, `summary`

returns counts of `FALSE`

, `TRUE`

and the `range`

.
Note that you can force the boolean interpretation by calling the booltype method explicitely on any `booltypes`

input, e.g. `min.booltype()`

, see the examples.

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## S3 method for class 'bit'
all(x, range = NULL, ...)
## S3 method for class 'bit'
any(x, range = NULL, ...)
## S3 method for class 'bit'
anyNA(x, recursive = FALSE)
## S3 method for class 'bit'
sum(x, range = NULL, ...)
## S3 method for class 'bit'
min(x, range = NULL, ...)
## S3 method for class 'bit'
max(x, range = NULL, ...)
## S3 method for class 'bit'
range(x, range = NULL, ...)
## S3 method for class 'bit'
summary(object, range = NULL, ...)
## S3 method for class 'bitwhich'
all(x, range = NULL, ...)
## S3 method for class 'bitwhich'
any(x, range = NULL, ...)
## S3 method for class 'bitwhich'
anyNA(x, recursive = FALSE)
## S3 method for class 'bitwhich'
sum(x, range = NULL, ...)
## S3 method for class 'bitwhich'
min(x, range = NULL, ...)
## S3 method for class 'bitwhich'
max(x, range = NULL, ...)
## S3 method for class 'bitwhich'
range(x, range = NULL, ...)
## S3 method for class 'bitwhich'
summary(object, range = NULL, ...)
## S3 method for class 'which'
all(x, range = NULL, ...)
## S3 method for class 'which'
any(x, range = NULL, ...)
## S3 method for class 'which'
anyNA(x, recursive = FALSE)
## S3 method for class 'which'
sum(x, range = NULL, ...)
## S3 method for class 'which'
min(x, range = NULL, ...)
## S3 method for class 'which'
max(x, range = NULL, ...)
## S3 method for class 'which'
range(x, range = NULL, ...)
## S3 method for class 'which'
summary(object, range = NULL, ...)
## S3 method for class 'booltype'
all(x, range = NULL, ...)
## S3 method for class 'booltype'
any(x, range = NULL, ...)
## S3 method for class 'booltype'
anyNA(x, ...)
## S3 method for class 'booltype'
sum(x, range = NULL, ...)
## S3 method for class 'booltype'
min(x, range = NULL, ...)
## S3 method for class 'booltype'
max(x, range = NULL, ...)
## S3 method for class 'booltype'
range(x, range = NULL, ...)
## S3 method for class 'booltype'
summary(object, range = NULL, ...)
## S3 method for class 'ri'
all(x, range = NULL, ...)
## S3 method for class 'ri'
any(x, range = NULL, ...)
## S3 method for class 'ri'
anyNA(x, recursive = FALSE)
## S3 method for class 'ri'
sum(x, ...)
## S3 method for class 'ri'
min(x, ...)
## S3 method for class 'ri'
max(x, ...)
## S3 method for class 'ri'
range(x, ...)
## S3 method for class 'ri'
summary(object, ...)
``` |

`x` |
an object of class bit or bitwhich |

`range` |
a |

`...` |
formally required but not used |

`recursive` |
formally required but not used |

`object` |
an object of class bit |

Summaries of `bit`

vectors are quite fast because we use a double loop that fixes each
word in a processor register. Furthermore we break out of looping as soon
as possible. Summaries of `bitwhich`

vectors are even faster, if the selection is very skewed.

as expected

Jens OehlschlĂ¤gel

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