archive-and-publish {crunch}

Get and set "archived" and "published" status of a dataset

Description

"Archived" datasets are excluded from some views. "Draft" datasets are visible only to editors, while published datasets are available to all viewers. A dataset can either be published or in draft, but not both. These properties are accessed and set with the "is" methods. You can also set the properties by assigning into the function. The verb functions archive and publish are alternate versions of the setters.

Usage

is.archived(x)

is.archived(x) <- value

is.draft(x)

is.draft(x) <- value

is.published(x)

is.published(x) <- value

## S4 method for signature 'CrunchDataset'
is.archived(x)

## S4 method for signature 'CrunchDataset'
is.draft(x)

## S4 method for signature 'CrunchDataset'
is.published(x)

## S4 replacement method for signature 'CrunchDataset,logical'
is.archived(x) <- value

archive(x)

## S4 replacement method for signature 'CrunchDataset,logical'
is.draft(x) <- value

## S4 replacement method for signature 'CrunchDataset,logical'
is.published(x) <- value

publish(x)

## S4 method for signature 'DatasetCatalog'
is.archived(x)

## S4 method for signature 'DatasetCatalog'
is.draft(x)

## S4 method for signature 'DatasetCatalog'
is.published(x)

## S4 replacement method for signature 'DatasetCatalog,logical'
is.archived(x) <- value

## S4 replacement method for signature 'DatasetCatalog,logical'
is.draft(x) <- value

## S4 replacement method for signature 'DatasetCatalog,logical'
is.published(x) <- value

Arguments

x

CrunchDataset

value

logical

Value

For the getters, the logical value of whether the dataset is archived, in draft mode, or published, where draft and published are inverses. The setters return the dataset.

Examples

## Not run: 
ds <- loadDataset("mtcars")
is.draft(ds) # FALSE
is.published(ds) # TRUE
identical(is.draft(ds), !is.published(ds))
# Can make a dataset a "draft" by:
is.draft(ds) <- TRUE
is.published(ds) # FALSE
# Could also have set is.published(ds) <- FALSE
# Now, can go the other way by setting is.draft, is.published, or:
ds <- publish(ds)
is.published(ds) # TRUE

is.archived(ds) # FALSE
is.archived(ds) <- TRUE
is.archived(ds) # TRUE
# Could have achieved the same effect by:
ds <- archive(ds)

## End(Not run)