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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.

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Version

Install

install.packages('rENA')

Monthly Downloads

586

Version

0.2.7

License

GPL-3 | file LICENSE

Maintainer

Cody L Marquart

Last Published

February 23rd, 2024

Functions in rENA (0.2.7)

as.ena.co.occurrence

Re-class vector as ena.co.occurrence

as.ena.metadata

Re-class matrix as ena.metadata

ena.plot.trajectory

Plot of ENA trajectories

Wrapper to generate plots of units, groups, and networks

connection.matrix

Connection counts as square matrix

Fast combn choose 2

as.matrix.ena.connections

ENA Connections as a matrix

ena.correlations

Calculate the correlations

ena.conversations

Find conversations by unit

Extract from ena.matrix easily using metadata

Plot of ENA set groups

Generate a plot of an ENAset

Find metadata columns

fun_sphere_norm

find_dimension_cols

Find dimension columns

Re-class matrix as ena.matrix

remove_meta_data

Remove meta columns from data.table

rENA creates ENA sets

Calculate the correlations

methods_report_stream

methods_report_stream

move_nodes_to_unit_circle

Wrapper to generate, and optionally plot, an ENA model

vector to upper triangle

hENA rotation for ENA

prepare_trajectory_data

merge_columns_c

Merge data frame columns

ena.set.creator

Wrapper to generate an ENA model

move_nodes_to_unit_circle_with_equal_space

ena.rotate.by.hena.regression

ENA Rotate by regression

Generate ENA Set

ena.accumulate.data

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

namesToAdjacencyKey

Names to Adjacency Key

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

ena.rotate.by.mean

ENA Rotate by mean

Plot an ena.set object

ena.plot.network

Plot an ENA network

Extract points easily

Extract metadata easily

ena.plot.points

Plot points on an ENAplot

Find code columns

ena_correlation

Calculate the correlations

fun_skip_sphere_norm

Non sphere norm

with_trajectory

Add a network to an ENA plot

Coded Rescushell Chat Data

ENARotationSet R6class

Plot points on an ena.plot

ENAdata R6class

as.matrix.ena.rotation.matrix

ENA rotations as matrix

as.matrix.row.connections

ENA row connections as matrix

Plot a trajectory on an ena.plot

Add a group mean to an ena.plot

as.matrix.ena.matrix

Matrix without metadata

as.matrix.ena.line.weights

ENA line weights as matrix

as.matrix.ena.nodes

ENA nodes as matrix

as.matrix.ena.points

ENA points as matrix

Extract line.weignts easily