archive-and-publish | R Documentation |
"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.
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
x |
CrunchDataset |
value |
logical |
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.
## 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)
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