Code to reproduce the figures in the paper 'Listener Preference for Different Reproduction Systems and Mixes in Popular Music'
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
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" .
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
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.
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.
 H. Wierstorf, C. Hold, A. Raake, "Listener Preference for Different
Reproduction Systems and Mixes in Popular Music," J. Audio. Eng. Soc, submitted.