Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/121426
Authors: 
Meermeyer, Martin
Year of Publication: 
2015
Series/Report no.: 
Schumpeter Discussion Papers 2015-006
Abstract: 
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.
Subjects: 
base graphic system
plots
legends
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

Files in This Item:
File
Size
821.47 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.