The goal of farrell is to provide an interactive interface to DataEnvelopment Analysis modeling in R. The farrell package is built uponBenchmarking.
You can install the development version offarrell fromGithub with:
# install.packages("remotes")remotes::install_github("feddelegrand7/farrell")You can run:
library(farrell)farrell()or if you’re working on RStudio, just click onAddins thenfarrell.
HitBrowse… to upload your data frame in a csvformat. All the inputs and outputs must be contained within the uploadeddata frame. Further, the data frame needs to contain an identificationcolumn in order to identify Decision Making Units distinctively. It canbe a numeric or a character column.
In the following examples, we use the mtcars data frame which hasbeen exported in a csv format with an additional column:carsname.
Within the Model Tuning tab, you will select the input and outputvariables, then you determine your identification column. Then youchoose the Returns to Scale assumption between: crs, vrs, irs, drs, addand fdh. After that, you determine the orientation of the model, whetherinput or output. Finally, hitCalculate Efficiency toget the results.
Let’s for example considermpg anddisp as the output variables andwt asinput. We choosecars name as the identification columnand model an input-oriented model with crs assumption.
The Efficiency Results tab displays the efficiency scores along withthe peers for each unit in a descending order. You have the ability todownload the result in a csv format. The tab also provides a summary ofthe distribution of the efficiency scores.
In the Lambdas tab, you get the contribution of the peers to theinefficient units’ score.
The SE tab provides the Scale Efficiency score of each DMU underconsideration.
The Slacks tab displays a data frame containing the sum of the slacksand the slacks for each input/output variables.
If you use the farrell package in your publications or teachingactivities, please cite it as follows:
Mohamed El Fodil Ihaddaden (2020). farrell: Interactive Interface toData Envelopment Analysis Modeling based on the Benchmarking R package.R package version 0.2.0.https://github.com/feddelegrand7/farrell
A BibTeX entry for LaTeX users is
@Manual{, title ={farrell: Interactive Interface to Data Envelopment Analysis Modelingbased on the Benchmarking R package}, author = {Mohamed El FodilIhaddaden}, note = {R package version 0.2.0}, year={2020}, url = {https://github.com/feddelegrand7/farrell}, }
Please note that the farrell project is released with aContributorCode of Conduct. By contributing to this project, you agree to abideby its terms.