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.
To install the GitHub developmental version of Rfrenz:
```
install.packages('devtools')
devtools::install_github("vincentfrenz/Rfrenz")
```
| 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 |