Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/121426 
Autor:innen: 
Erscheinungsjahr: 
2015
Schriftenreihe/Nr.: 
Schumpeter Discussion Papers No. 2015-006
Verlag: 
University of Wuppertal, Schumpeter School of Business and Economics, Wuppertal
Zusammenfassung: 
The publication of results of an empirical analysis often includes graphical representations. One of the particular strengths of the statistical computing language and environment R are the graphical capabilities. Beside the relatively simple base graphic system a number of more sophisticated alternative graphic systems are available within R. Compared to these the base graphic system is easy to use but nevertheless highly customizable and therefore advantageous for many research projects. However, even in the base graphic system the number of graphical functions and parameters is large. Due to this it can be hard to find the functions and parameters which must be used to customize a graphic for publication purposes. This paper provides a brief tutorial for this along with a set of simple rules how to structure the code to achieve a sufficient level of reproducibility for a data analysis in general and for associate graphical results in specific. The paper summarizes experiences from a R tutorial hold at the University of Wuppertal for a number of times. The code snippets in the text and the code to reproduce the given examples in the appendix is copy-and-paste-ready and can easily be adopted for own tasks.
Schlagwörter: 
base graphic system
plots
legends
Persistent Identifier der Erstveröffentlichung: 
Dokumentart: 
Working Paper

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