In our article and this additional file, we use the following conventions. A random sample of m measurements of a general random variable V can be represented by a vector v = (v1, . . . , vm) with m components. Categorical random variables are denoted by DX, DY , DZ and numeric random variables are denoted by X, Y , Z. Correspondingly, random samples from categorical vectors are denoted by dx, ...

This article first illustrates the use of mosaic displays for the analysis of multiway contingency tables. We then introduce several extensions of mosaic displays designed to integrate graphical methods for categorical data with those used for quantitative data. The scatterplot matrix shows all painvise (bivariate marginal) views of a set of variables in a coherent display. One analog for categ...

The present article discusses the role of categorical variable in the problem of multicollinearity in linear regression model. It exposes the diagnostic tool condition number to linear regression models with categorical explanatory variables and analyzes how the dummy variables and choice of reference category can affect the degree of multicollinearity. Such an effect is analyzed analytically a...

Missing data is a common problem in statistical analyses. To make use of information with incomplete observation, missing values can be imputed so that standard methods used to analyze the data. Variables are often categorical and miss ing pattern may not monotone. Currently, commonly imputation for non-monotone do allow di rect inclusion variables. Categorical variables converted numerical bef...

Ordinal logistic regression is a statistical analysis method that can be used to model the relationship between an ordinal response variable and one or more explanatory variables. An ordinal variable is a categorical variable for which there is a clear ordering of the category levels. The explanatory variables may be either continuous or categorical. Estimating ordinal logistic regression model...

This paper presents categorical data that were gathered at two urban clinics and two suburban clinics of Johns Hopkins in an effort to identify characteristics of young female patients who successfully complete the three-injection sequence of the Gardasil quadrivalent human papillomavirus vaccine (HPV4). Available categorical correlates included patient age group, patient race, clinic location ...

Abstract: Categorical variables are common in spatial data analysis. Traditional analytical methods for deriving probabilities of class occurrence, such as kriging-family algorithms, have been hindered by the discrete characteristics of categorical fields. This study introduces the theoretical backgrounds of linear Bayesian updating (LBU) approach for spatial classification through expert syste...