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

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

## Arguments

enadata ENAdata that will be used to generate an ENA model The number of dimensions to include in the dimensional reduction A function to be used to normalize adjacency (co-occurrence) vectors before computing the dimensional reduction, default: sphere_norm_c() A function to be used to compute the dimensional reduction, default: ena.svd() (optional) A character vector containing additional parameters for the function in rotation.by, if needed A previously-constructed ENARotationSet object to use for the dimensional reduction A logical variable which determines whether to only show endpoints for trajectory models A function to be used to determine node positions based on the dimensional reduction, default: lws.position.es() 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

## Value

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

## 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

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(
conversation = RS.data[,c("Condition","GroupName")],
codes = RS.data[,codeNames],
window.size.back = 4
)

set = ena.make.set(
accum$meta.data$Condition=="FirstGame",
accum$meta.data$Condition=="SecondGame"
)