Compute summary statistic for groupings of units using given method (typically, mean)

Computes summary statistics for groupings (given as vector) of units in ena data using given method (typically, mean); computes summary statistic for point locations and edge weights for each grouping

Usage

ena.group(
  enaset = NULL,
  by = NULL,
  method = mean,
  names = as.vector(unique(by))
)

Arguments

enaset

An ENAset or a vector of values to group.

by

A vector of values the same length as units. Uses rotated points for group positions and normed data to get the group edge weights

method

A function that is used on grouped points. Default: mean(). If `enaset` is an ENAset, enaset$points.rotated will be groups using `mean` regardless of `method` provided

names

A vector of names to use for the results. Default: unique(by)

Value

A list containing names, points, and edge weights for each of the unique groups formed by the function

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
)

means = ena.group(set, "Condition")