In this upload you find all the scripts and data you need in order to reproduce the figure from the paper Wierstorf et al., "Listener Preference for Different Reproduction Systems and Mixes in Popular Music" [1]. Software Requirements --------------------- For the statistic analysis you will need [python](https://www.python.org) and [R](https://www.r-project.org). I have used python 3.5.2 and R 3.2.3 for published analysis. Under R you need to install the [eba](https://cran.r-project.org/package=eba) package, which implements the Bradley-Terry-Luce model. You can install it in R by running `install.packages("eba")`. Under python you have to install pandas and numpy. Reproduce figures ----------------- All figures were plotted using gnuplot 5.0. Every figure folder has an ``figXX.plt`` (replace ``XX`` by the figure number) file that you can execute and you will get the resulting pdf file. For Fig. 4 up to Fig. 8, also a ``figXX.sh`` file is provided, that will rerun the statistical analysis of the data presented in the figures. References ---------- [1] H. Wierstorf, C. Hold, A. Raake, "Listener Preference for Different Reproduction Systems and Mixes in Popular Music," J. Audio. Eng. Soc, submitted.