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rfrenz's Introduction

Rfrenz

Christiaan van Rensburg, Alexander Cawood, Marette Theron (2019)

Rfrenz is an experimental package which simplifies the process of computing cognitive social network accuracy by combining various functions from other packages. Specifically, Rfrenz provides functions to compute and plot different types of criterion networks as well calculate respondents' accuracy using cognitive slice data.

Install Instructions

To install the GitHub developmental version of Rfrenz:

```
install.packages('devtools')
devtools::install_github("vincentfrenz/Rfrenz")
```

Usage

Function Description
frenz_stats Computes basic descriptive statistics on accuracy of respondents
formatting_data Plots criterion network and the respondents accuracy scores
get_accuracy Computes accuracy of respondents
get_criterion Computes criterion network from all perceptions
get_data Imports text data and converts to socio-matrix data
rfrenz_acc Computes accuracy from slices

rfrenz's People

Contributors

alexcawood avatar marettetheron avatar pikkie96 avatar vincentfrenz avatar

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