\documentclass[12pt,a4paper,pdftex]{exam} \newcommand{\exercisetopic}{Plotting} \newcommand{\exercisenum}{X} \newcommand{\exercisedate}{December 14th, 2020} \input{../../exercisesheader} \firstpagefooter{Dr. Jan Grewe}{}{jan.grewe@uni-tuebingen.de} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \begin{document} \input{../../exercisestitle} \input{instructions} \begin{questions} %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \question \qt{Graphical display of behavioral data.} In this task you will use the MATLAB plotting system to display different aspects of experimental data. In the accompanying zip file (``experiment.zip'') you find the results of an (hypothetical) behavioral experiment. Animals have been trained in a number of ``sessions'' in a two-alternative-forced choice task. The results of each session and each subject are stored in separate ``.mat'' files that are named according to the pattern \verb+Animal_{id}_Session_{id}.mat+. Each of these mat files contains three variables \verb+performance, perf_std, trials, tasks+ which list the subjects average performance, the standard deviation, the number of completed trials, and the tasks, respectively. As a first step accustom yourself with the data structure and open a single file to understand what is stored. Solve the assignments below in separate functions. Create a script that controls the analysis. Try to use as little ``hardcode'' as possible. All plots must be properly labeled, use a font size of 10\,pt for axis labels and a font size of 8\,pt for tick-labels and legends. Single-panel figures should have the paper size of 7.5 by 7.5\,cm, multi-panel figures, may use a width of 17.5\,cm and a height of 15\,cm. Save the figures in the pdf format. \begin{parts} \part{} Find out the ids of the used subjects (you will need this information later). Use the \verb+dir+ function to get the name of a mat file. \part{} Use the \verb+dir+ function to find out how many sessions have been recorded for each subject. Plot the results in a bar plot, adhere to the instructions above and save the figure. \part{} Each animal has been tested in the same tasks. Create a figure which plots each subject's performance as a function of the session number. The figure is supposed to display the three tasks in three subplots. Within each subplot plot the average performance and the performance error. \part{} Not every subject solved the same number of trials. Collect for each subject and each task the total number of trials and plot the data in form of a stacked bar plot. That is, the figure shows a stacked bar for each subject. \end{parts} %\begin{solution} % \lstinputlisting{mlestd.m} % \includegraphics[width=1\textwidth]{mlestd}\\ % \end{solution} \end{questions} \end{document}