Generates an ENA model by constructing a dimensional reduction of adjacency (co-occurrence) vectors as defined by the supplied conversations, units, and codes.

ena(
data,
codes,
units,
conversation,
model = c("EndPoint", "AccumulatedTrajectory", "SeparateTrajectory"),
weight.by = "binary",
window = c("MovingStanzaWindow", "Conversation"),
window.size.back = 1,
include.meta = TRUE,
groupVar = NULL,
groups = NULL,
runTest = FALSE,
points = FALSE,
mean = FALSE,
network = TRUE,
networkMultiplier = 1,
subtractionMultiplier = 1,
unit = NULL,
include.plots = T,
print.plots = F,
...
)

## Arguments

data

data.frame with containing metadata and coded columns

codes

vector, numeric or character, of columns with codes

units

vector, numeric or character, of columns representing units

conversation

vector, numeric or character, of columns to segment conversations by

vector, numeric or character, of columns with additional meta information for units

model

character: EndPoint (default), AccumulatedTrajectory, SeparateTrajectory

weight.by

"binary" is default, can supply a function to call (e.g. sum)

window

MovingStanzaWindow (default) or Conversation

window.size.back

Number of lines in the stanza window (default: 1)

include.meta

[TBD]

groupVar

vector, character, of column name containing group identifiers. If column contains at least two unique values, will generate model using a means rotation (a dimensional reduction maximizing the variance between the means of the two groups)

groups

vector, character, of values of groupVar column used for means rotation, plotting, or statistical tests

runTest

logical, TRUE will run a Student's t-Test and a Wilcoxon test for groups defined by the groups argument

points

logical, TRUE will plot points (default: FALSE)

mean

logical, TRUE will plot the mean position of the groups defined in the groups argument (default: FALSE)

network

logical, TRUE will plot networks (default: TRUE)

networkMultiplier

numeric, scaling factor for non-subtracted networks (default: 1)

subtractionMultiplier

numeric, scaling factor for subtracted networks (default: 1)

unit

vector, character, name of a single unit to plot

include.plots

logical, TRUE will generate plots based on the model (default: TRUE)

print.plots

logical, TRUE will show plots in the Viewer(default: FALSE)

...

Additional parameters passed to set creation and plotting functions

ena.set object

## Details

This function generates an ena.set object given a data.frame, units, conversations, and codes. After accumulating the adjacency (co-occurrence) vectors, 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. Includes options for returning statistical tests between groups of units, as well as plots of units, groups, and networks.

## Examples

data(RS.data)

rs = ena(
data = RS.data,
conversation = c("Condition","GroupName"),
codes = c('Data',
'Technical.Constraints',
'Performance.Parameters',
'Client.and.Consultant.Requests',
'Design.Reasoning',
'Collaboration'),
window.size.back = 4,
print.plots = FALSE,
groupVar = "Condition",
groups = c("FirstGame", "SecondGame")
)