Bundle of partitions (partition_bundle class).

Class and methods to manage bundles of partitions.

# S4 method for partition_bundle
show(object)

# S4 method for partition_bundle
summary(object, progress = FALSE)

# S4 method for partition_bundle
merge(x, name = "", verbose = FALSE)

# S4 method for partition_bundle,ANY,ANY,ANY
[(x, i)

# S4 method for partition_bundle
barplot(height, ...)

# S4 method for list
as.partition_bundle(.Object, ...)

# S4 method for environment
partition_bundle(.Object)

# S4 method for partition_bundle
enrich(.Object, mc = FALSE, progress = TRUE, verbose = FALSE, ...)

# S4 method for partition_bundle
s_attributes(.Object, s_attribute, ...)

flatten(object)

Arguments

object	a partition_bundle object
progress	logical
x	a partition_bundle object
name	the name for the new partition
verbose	logical
i	integer index
height	height
...	further parameters
.Object	a partition_bundle object
mc	logical or, if numeric, providing the number of cores
s_attribute	the s-attribute to use

Value

An object of the class 'partition. See partition for the details on the class.

a partition_bundle object

Details

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.

Slots

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

Author

Andreas Blaette

Examples

# 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)