partition_bundle-class | R Documentation |
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'
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, p_attribute, decode = TRUE, verbose = FALSE)
## S4 method for signature 'subcorpus_bundle'
enrich(.Object, p_attribute, decode = TRUE, verbose = FALSE)
flatten(object)
object |
A |
progress |
A |
x |
A |
name |
the name for the new partition |
verbose |
A |
height |
height |
... |
further parameters |
.Object |
A |
p_attribute |
A |
decode |
A |
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.
The enrich()
method will fill the slot stat
of the partition
objects within the bundle with a count for the designated p-attributes. If
.Object
is a subcorpus_bundle
, the output class will be a
partition_bundle
.
An object of the class 'partition. See partition for the details on the class.
a partition_bundle
object
objects
Object of class list
the partitions making up the bundle
corpus
Object of class character
the CWB corpus the partition is based on
s_attributes_fixed
Object of class list
fixed s-attributes
encoding
Object of class character
encoding of the corpus
explanation
Object of class character
an explanation of the partition
xml
Object of class character
whether the xml is flat or nested
call
Object 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()
use(pkg = "RcppCWB", corpus = "REUTERS")
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)
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