TY - JOUR
AU - Brzezińska, Justyna
AB - 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.
TI - Visualization of Categorical Data Using Extracat Package in R
JF - Econometrics
DO - 10.15611/eada.2018.2.01
DA - 2018-06-01
UR - https://www.deepdyve.com/lp/de-gruyter/visualization-of-categorical-data-using-extracat-package-in-r-30OF9EVADi
SP - 9
EP - 19
VL - 22
IS - 2
DP - DeepDyve
ER -