Learn R Programming

rENA

What is ENA

Epistemic Network Analysis (ENA) is a method for identifying and quantifying connections among elements in coded data and representing them in dynamic network models. A key feature of the ENA tool is that it enables researchers compare different networks, both visually and through summary statistics that reflect the weighted structure of connections. The interface also allows users to see the original data that contributed to each of the connections in the network representation. ENA can thus be used to address a wide range of qualitative and quantitative research questions.

Researchers have used ENA to analyze and visualize a wide range of phenomena, including: cognitive connections that students make while solving complex problems; interactions among different regions of the brain in fMRI data; social gaze coordination; integration of operative skills during surgical procedures; and many others.

Installation

From CRAN

install.packages("rENA")

Development Version

install.packages("rENA", repos = c("https://rena.qe-libs.org/cran/", "https://cran.rstudio.org"))

Resources

To learn more about ENA, visit the resources page.

Copy Link

Version

Install

install.packages('rENA')

Monthly Downloads

1,312

Version

0.3.1

License

GPL-3 | file LICENSE

Maintainer

Cody L Marquart

Last Published

February 11th, 2026

Functions in rENA (0.3.1)

Re-class matrix as ena.matrix

as.ena.co.occurrence

Re-class vector as ena.co.occurrence

Add a trajectory to an ENA plot

as.ena.metadata

Re-class matrix as ena.metadata

as.matrix.row.connections

ENA row connections as matrix

Convert a vector to 'qe.code' class

Updates the axis ranges of an ENA plot based on the plotted data.

Convert a vector to 'qe.horizon' class

directed_node_positions

Multiobjective, Component by Component, with Ellipsoidal Scaling, for directed ENA

Convert an object to 'qe.data' class

Apply metadata and code transformations to a data.table

Convert a vector to 'qe.metadata' class

Center ENA Data

Extract line.weignts easily

ena.plot.network

Plot an ENA network

Plot of ENA set groups

as.matrix.ena.points

ENA points as matrix

connection.matrix

Connection counts as square matrix

Extract from ena.matrix easily using metadata

Compute Between-Group Scatter Matrix

as.matrix.ena.rotation.matrix

ENA rotations as matrix

directed_node_positions_with_ground_response_added

Node position optimization with ground and response weights/points added

Clears specified plots from an ENA set.

ena.conversations

Find conversations by unit

Convert a vector to 'qe.unit' class

ena.accumulate.data

Accumulate data from a data frame into a set of adjacency (co-occurrence) vectors

ena.plot.points

Plot points on an ENAplot

hENA rotation for ENA

ena.rotate.by.mean

ENA Rotate by mean

ena.plot.trajectory

Plot of ENA trajectories

Wrapper to generate plots of units, groups, and networks

Generate ENA Set

Generate a plot of an ENAset

ena.rotate.by.generalized

ENA Rotate by generalized means rotation (gmr)

fun_sphere_norm

Row-wise L2 (Sphere) Normalization

get_x1_main_effect

Extract Main Effect Contribution of the First Predictor Using Elastic Net

Wrapper to generate, and optionally plot, an ENA model

Find code columns

fun_skip_sphere_norm

Row-wise Max-Norm Scaling

merge_columns_c

Merge data frame columns

ena.rotate.by.hena.regression

ENA Rotate by regression

Reclassify specified columns as horizon or list horizon columns in a data.table

find_binary_cols

Find Binary Columns

move_nodes_to_unit_circle

move_nodes_to_unit_circle_with_equal_space

Check if an object is of class 'qe.metadata'

Reclassify specified columns as metadata or list metadata columns in a data.table

Check if an object is of class 'qe.horizon'

Check if an object is of class 'qe.data'

Multiply ena.matrix objects Element-wise multiplication of dimension columns in an ena.matrix by another ena.matrix or numeric matrix. If e2 is an ena.matrix, it is converted to a standard matrix before multiplication. The multiplication is applied only to the dimension columns of e1, while other columns remain unchanged.

Rotate ENA Data

Scales the points in an ENA set.

Check if an object is of class 'qe.code'

Display and update plot objects within a custom object

Apply Spherical Normalization to ENA Data

Reclassify specified columns as units or list unit columns in a data.table

Check if an object is of class 'qe.unit'

remove_meta_data

Remove meta columns from data.table

methods_report_stream

methods_report_stream

Build a Complete ENA Model

Reclassify specified columns in a data.table

vector to upper triangle

as.matrix.ena.nodes

ENA nodes as matrix

Extract points easily

ena.set.creator

Wrapper to generate an ENA model

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

with.ena.matrix

with.ena.matrix

Extract metadata easily

ena.correlations

Calculate the correlations

Reclassify specified columns as codes or list codes columns in a data.table

Fast combn choose 2

Project ENA Points onto Rotated Space

ena.rotate.by.hena.regression_2

ENA Rotate by regression (second way)

Calculate the correlations

ena_correlation

Calculate the correlations

namesToAdjacencyKey

Names to Adjacency Key

Adds group means to the ENA plot.

Find metadata columns

find_dimension_cols

Find dimension columns

Generalized Means Rotation (GMR)

Plot an ena.set object

rENA creates ENA sets

with_trajectory

Adds trajectories to an ENA plot.

Optimize Node and Centroid Positions in ENA Set

Add all groups to an ENA plot

prepare_trajectory_data

Prepares trajectory data for an ENA plot.

Add nodes to an ENA plot

Add a network to an ENA plot

ENARotationSet R6class

ENAdata R6class

Add points to an ENA plot

Add a group mean to an ENA plot

Accumulate Connection Counts for ENA

Coded Rescushell Chat Data

as.matrix.ena.line.weights

ENA line weights as matrix

as.matrix.ena.connections

ENA Connections as a matrix

as.matrix.ena.matrix

Matrix without metadata