Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/degruyter/visualization-of-categorical-data-using-extracat-package-in-r-30OF9EVADi
References
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
- Publisher
- de Gruyter
- Copyright
- © 2018 Justyna Brzezińska, published by Sciendo
- eISSN
- 2449-9994
- DOI
- 10.15611/eada.2018.2.01
- Publisher site
- See Article on Publisher Site
Abstract
AbstractVisualization in research process plays a crucial role. There are several advanced plots for visualizing categorical data, such as mosaic, association, double-decker, sieve or fourfold plot that are based on the graphical presentation of residuals in a contingency table. In this paper we present new methods for visualizing categorical data such as rmb, fluctile and scpcp plot available in extracat package in R. This package provides a well-structured representation of categorical data and allows for a detailed presentation of the relationship between categories in terms of proportions. We describe rmb, fluctile and cpcp. Those plots are based on the concept of multiple bar charts, a fluctuation diagram from a multidimensional table and parallel coordinates respectively. Such plots are mostly used for a visualization of a contingency table or a data frame; they can also be used for exploratory analysis and allows for a graphical presentation even for a high number of variables [Pilhöfer, Unwin 2013]. All the calculations and plots are obtained using R software.
Journal
Econometrics – de Gruyter
Published: Jun 1, 2018