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rENA  

Epistemic Network Analysis
View on CRAN: Click here


Download and install rENA package within the R console
Install from CRAN:
install.packages("rENA")

Install from Github:
library("remotes")
install_github("cran/rENA")

Install by package version:
library("remotes")
install_version("rENA", "0.2.7")



Attach the package and use:
library("rENA")
Maintained by
Cody L Marquart
[Scholar Profile | Author Map]
First Published: 2017-10-03
Latest Update: 2022-03-25
Description:
ENA (Shaffer, D. W. (2017) Quantitative Ethnography. ISBN: 0578191687) is a method used to identify meaningful and quantifiable patterns in discourse or reasoning. ENA moves beyond the traditional frequency-based assessments by examining the structure of the co-occurrence, or connections in coded data. Moreover, compared to other methodological approaches, ENA has the novelty of (1) modeling whole networks of connections and (2) affording both quantitative and qualitative comparisons between different network models. Shaffer, D.W., Collier, W., & Ruis, A.R. (2016).
How to cite:
Cody L Marquart (2017). rENA: Epistemic Network Analysis. R package version 0.2.7, https://cran.r-project.org/web/packages/rENA. Accessed 26 Mar. 2025.
Previous versions and publish date:
0.1.0 (2017-10-03 15:47), 0.1.1 (2017-12-05 20:01), 0.1.2 (2018-01-09 14:21), 0.1.3 (2018-01-26 15:59), 0.1.4 (2018-04-20 01:30), 0.1.5 (2018-06-18 23:24), 0.1.6.1 (2019-05-09 19:50), 0.1.6 (2019-02-07 06:50), 0.2.0.0 (2019-10-07 18:00), 0.2.0.1 (2019-12-17 18:00), 0.2.1.0 (2020-09-16 18:30), 0.2.1.1 (2020-10-02 16:30), 0.2.1.2 (2020-10-11 17:10), 0.2.3 (2021-04-23 17:10), 0.2.4 (2022-03-25 17:50)
Other packages that cited rENA R package
View rENA citation profile
Other R packages that rENA depends, imports, suggests or enhances
Complete documentation for rENA
Functions, R codes and Examples using the rENA R package
Some associated functions: ENARotationSet . ENAdata . ENAplot . ENAset . RS.data . add_group . add_network . add_nodes . add_points . add_trajectory . as.ena.co.occurrence . as.ena.matrix . as.ena.metadata . as.matrix.ena.connections . as.matrix.ena.line.weights . as.matrix.ena.matrix . as.matrix.ena.nodes . as.matrix.ena.points . as.matrix.ena.rotation.matrix . as.matrix.row.connections . as_trajectory . cash-.ena.matrix . cash-.ena.metadata . cash-.ena.points . cash-.line.weights . clear . combn_c2 . connection.matrix . ena.accumulate.data . ena.conversations . ena.correlations . ena.group . ena.make.set . ena . ena.plot.group . ena.plot.network . ena.plot . ena.plot.points . ena.plot.trajectory . ena.plotter . ena.rotate.by.mean . ena.set.creator . ena.svd . ena.writeup . ena_correlation . find_code_cols . find_dimension_cols . find_meta_cols . fun_cohens.d . fun_skip_sphere_norm . fun_sphere_norm . means_rotate . merge_columns_c . methods_report . methods_report_stream . move_nodes_to_unit_circle . move_nodes_to_unit_circle_with_equal_space . namesToAdjacencyKey . plot.ena.set . prepare_trajectory_data . print.ena.set . project_in . rENA . remove_meta_data . scale.ena.set . show . vector_to_ut . with_means . with_trajectory . 
Some associated R codes: ENAdata.R . ENAplot.R . ENArotation.set.R . ENAset.R . RS.data.R . RcppExports.R . accumulate.data.R . center.projection.R . cohens.d.R . connection.matrix.R . ena.R . ena.accumulate.data.R . ena.accumulate.data.file.R . ena.conversations.R . ena.correlations.R . ena.generate.R . ena.get.stats.R . ena.group.R . ena.make.set.R . ena.optimize.set.R . ena.plot.R . ena.plot.group.R . ena.plot.network.R . ena.plot.points.R . ena.plot.subtraction.R . ena.plot.trajectory.R . ena.plotter.R . ena.rotate.by.mean.R . ena.set.R . ena.set.creator.R . ena.svd.R . ena.unit.metadata.R . ena.update.set.R . ena.writeup.R . lws.positions.sq.R . move_nodes.R . namesToAdjacencyKey.R . ocpu.optimization.R . rENA.R . utils.R . utils.classes.R . utils.matrix.R . utils.plot.R . zzz.R .  Full rENA package functions and examples
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