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NetFACS  

Network Applications to Facial Communication Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("NetFACS", "0.5.0")



Attach the package and use:
library("NetFACS")
Maintained by
Alan V. Rincon
[Scholar Profile | Author Map]
First Published: 2021-11-02
Latest Update: 2022-12-06
Description:
Functions to analyze and visualize communication data, based on network theory and resampling methods. Farine, D. R. (2017) ; Carsey, T., & Harden, J. (2014) . Primarily targeted at datasets of facial expressions coded with the Facial Action Coding System. Ekman, P., Friesen, W. V., & Hager, J. C. (2002). "Facial action coding system - investigator's guide" .
How to cite:
Alan V. Rincon (2021). NetFACS: Network Applications to Facial Communication Data. R package version 0.5.0, https://cran.r-project.org/web/packages/NetFACS. Accessed 23 Feb. 2025.
Previous versions and publish date:
0.2.0 (2021-11-02 15:10), 0.3.0 (2021-12-11 20:10), 0.3.1 (2022-02-04 16:10), 0.4.0 (2022-06-08 16:40)
Other packages that cited NetFACS R package
View NetFACS citation profile
Other R packages that NetFACS depends, imports, suggests or enhances
Complete documentation for NetFACS
Functions, R codes and Examples using the NetFACS R package
Some associated functions: add_inactive_single_units . calculate_combination_size . conditional_probabilities . define_contexts . define_joint_prob . distribution.plot . element.plot . element.specificity . emotions_set . entropy.overall . entropy_overall . equal_observations . event_size_plot . get_active_elements . get_data . is.netfacs . is.netfacs_multiple . is.netfacs_specificity . letternet . multiple.netfacs . multiple_netfacs_network . multiple_network_plot . mutual.information.condition . mutual.information . netfacs . netfacs.reciprocity . netfacs_bootstrap . netfacs_extract . netfacs_multiple . netfacs_network . netfacs_randomize . network.conditional . network_conditional . network_plot . network_summary . network_summary_graph . overlap.network . overlap_network . possible_combinations . prepare.netfacs . print.netfacs . print.netfacs_multiple . probability_of_combination . probability_of_event_size . sim_facs . specificity . specificity_increase . summarise_combination . summarise_event_size . upsample . validate_condition . validate_data . 
Some associated R codes: arithmetic-helpers.R . conditional_probabilities.R . define_contexts.R . define_joint_prob.R . distribution_plot.R . element_plot.R . emotions_set-data.R . entropy_overall.R . event_size_plot.R . letternet-data.R . multiple_netfacs_network.R . multiple_network_plot.R . mutual_information_condition.R . mutual_information_elements.R . netfacs-class.R . netfacs-helpers.R . netfacs.R . netfacs_extract.R . netfacs_multiple.R . netfacs_network.R . netfacs_reciprocity.R . network_conditional.R . network_plot.R . network_summary.R . network_summary_graph.R . overlap_network.R . prepare_netfacs.R . sim_facs.R . specificity.R . specificity_increase.R . upsample.R .  Full NetFACS package functions and examples
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