ena.make.set: Generate ENA Set

In rENA: Epistemic Network Analysis

Generate ENA Set

Description

Generates an ENA model by constructing a dimensional reduction of adjacency (co-occurrence) vectors in an ENA data object

Usage

ena.make.set(
  enadata,
  dimensions = 2,
  norm.by = fun_sphere_norm,
  rotation.by = ena.svd,
  rotation.params = NULL,
  rotation.set = NULL,
  endpoints.only = TRUE,
  center.align.to.origin = TRUE,
  node.position.method = lws.positions.sq,
  as.list = TRUE,
  ...
)

Arguments

enadata	ENAdata that will be used to generate an ENA model
dimensions	The number of dimensions to include in the dimensional reduction
norm.by	A function to be used to normalize adjacency (co-occurrence) vectors before computing the dimensional reduction, default: sphere_norm_c()
rotation.by	A function to be used to compute the dimensional reduction, default: ena.svd()
rotation.params	(optional) A character vector containing additional parameters for the function in rotation.by, if needed
rotation.set	A previously-constructed ENARotationSet object to use for the dimensional reduction
endpoints.only	A logical variable which determines whether to only show endpoints for trajectory models
center.align.to.origin	A logical variable when TRUE (default) determines aligns both point center and centroid center to the origin
node.position.method	A function to be used to determine node positions based on the dimensional reduction, default: lws.position.es()
as.list	R6 objects will be deprecated, but if this is TRUE, the original R6 object will be returned, otherwise a list with class 'ena.set'
...	additional parameters addressed in inner function

Details

This function generates an ENAset object from an ENAdata object. Takes the adjacency (co-occurrence) vectors from enadata, computes a dimensional reduction (projection), and calculates node positions in the projected ENA space. Returns location of the units in the projected space, as well as locations for node positions, and normalized adjacency (co-occurrence) vectors to construct network graphs

Value

ENAset class object that can be further processed for analysis or plotting

See Also

ena.accumulate.data, ENAset

Examples

data(RS.data)

codeNames = c('Data','Technical.Constraints','Performance.Parameters',
  'Client.and.Consultant.Requests','Design.Reasoning','Collaboration');

accum = ena.accumulate.data(
  units = RS.data[,c("UserName","Condition")],
  conversation = RS.data[,c("Condition","GroupName")],
  metadata = RS.data[,c("CONFIDENCE.Change","CONFIDENCE.Pre","CONFIDENCE.Post")],
  codes = RS.data[,codeNames],
  window.size.back = 4
)

set = ena.make.set(
  enadata = accum
)

set.means.rotated = ena.make.set(
  enadata = accum,
  rotation.by = ena.rotate.by.mean,
  rotation.params = list(
      accum$meta.data$Condition=="FirstGame",
      accum$meta.data$Condition=="SecondGame"
  )
)

rENA documentation built on March 26, 2022, 1:10 a.m.