Bundle of partitions (partition_bundle class).
Class and methods to manage bundles of partitions.
## S4 method for signature 'partition_bundle' show(object) ## S4 method for signature 'partition_bundle' summary(object, progress = FALSE) ## S4 method for signature 'partition_bundle' merge(x, name = "", verbose = FALSE) ## S4 method for signature 'partition_bundle,ANY,ANY,ANY' x[i] ## S4 method for signature 'partition_bundle' barplot(height, ...) ## S4 method for signature 'list' as.partition_bundle(.Object, ...) ## S4 method for signature 'environment' partition_bundle(.Object) ## S4 method for signature 'partition_bundle' enrich(.Object, mc = FALSE, progress = TRUE, verbose = FALSE, ...) ## S4 method for signature 'partition_bundle' s_attributes(.Object, s_attribute, ...) flatten(object)
object |
a |
progress |
logical |
x |
a |
name |
the name for the new partition |
verbose |
logical |
i |
integer index |
height |
height |
... |
further parameters |
.Object |
a |
mc |
logical or, if numeric, providing the number of cores |
s_attribute |
the s-attribute to use |
The merge-method aggregates several partitions into one partition. The
prerequisite for this function to work properly is that there are no
overlaps of the different partitions that are to be summarized.
Encodings and the root node need to be identical, too.
Using brackets can be used to retrieve the count for a token from the
partition objects in a partition_bundle.
An object of the class 'partition. See partition for the details on the class.
a partition_bundle object
objectsObject of class list the partitions making up the bundle
corpusObject of class character the CWB corpus the partition is based on
s_attributes_fixedObject of class list fixed s-attributes
encodingObject of class character encoding of the corpus
explanationObject of class character an explanation of the partition
xmlObject of class character whether the xml is flat or nested
callObject of class character the call that generated the partition_bundle
Andreas Blaette
# merge partition_bundle into one partition
gparl <- corpus("GERMAPARLMINI") %>%
split(s_attribute = "date") %>%
merge()
pb <- partition_bundle("REUTERS", s_attribute = "id")
barplot(pb, las = 2)
sc <- corpus("GERMAPARLMINI") %>%
subset(date == "2009-11-10") %>%
split(s_attribute = "speaker") %>%
barplot(las = 2)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.