In statistics, a categorical variable (also called qualitative variable) is a variable that can take on one of a limited, and usually fixed, number of...

modifier). The effect of a moderating variable is characterized statistically as an interaction; that is, a categorical (e.g., sex, ethnicity, class) or continuous...

to be categorical (representing unordered/qualitative categories) though may also be sequential (representing an ordered/quantitative variable). The earliest...

The categorical distribution is the generalization of the Bernoulli distribution for a categorical random variable, i.e. for a discrete variable with...

known as one-hot encoding. Dummy variables are commonly used in regression analysis to represent categorical variables that have more than two levels,...

dependent variable (DV) are equal across levels of one or more categorical independent variables (IV) and across one or more continuous variables. For example...

analysis of categorical data, also known as data on the nominal scale and as categorical variables. Bowker's test of symmetry Categorical distribution...

for binary regression since about 1970. Binary variables can be generalized to categorical variables when there are more than two possible values (e...

in statistics to examine the relationship between more than two categorical variables. The technique is used for both hypothesis testing and model building...

dynamically depending on some other variable (e.g. a categorical variable indexed by another latent categorical variable, as in a topic model), the same expected...

simply ignored. Modeling continuous data (or categorical data of more than 2 categories) as a binary variable for analysis purposes is called dichotomization...

categorical variables dependent on multiple priors sharing a hyperprior; we have categorical variables with dependent children (the latent variable topic...

sometimes called one-cold. In statistics, dummy variables represent a similar technique for representing categorical data. One-hot encoding is often used for...

continuous dependent variable, whereas discriminant analysis has continuous independent variables and a categorical dependent variable (i.e. the class label)...

rules. The ones shown below are simply popular examples. For a categorical response variable with m {\displaystyle m} mutually exclusive events, Y ∈ Ω =...

variable, a variable in statistics whose value depends on random events Categorical variable, taking one of a finite number of values in a statistical problem...

simpler terms, this test is primarily used to examine whether two categorical variables (two dimensions of the contingency table) are independent in influencing...

size is a value measuring the strength of the relationship between two variables in a population, or a sample-based estimate of that quantity. It can refer...

A variable which codes for the presence or absence of such a property is called a binary categorical variable, or equivalently a dummy variable. Some...

Categorical: Represent groups of objects with a particular characteristic. Categorical variables can either be nominal or ordinal. Nominal variables for...

baseline, or untreated value of y. Sometimes the interacting variables are categorical variables rather than real numbers and the study might then be dealt...

represent the levels of a categorical variable. A generalised biplot displays information on both continuous and categorical variables. The biplot was introduced...

science, in that dichotomous categorical variables may be represented with the Boolean data type, polytomous categorical variables with arbitrarily assigned...

real-valued functions of those variables. For example, for a categorical random variable X that can take on the nominal values "red", "blue" or "green"...

in the R programming language, a status variable in the JOVIAL programming language, and a categorical variable in statistics) is a data type consisting...

A latent variable model is a statistical model that relates a set of observable variables (also called manifest variables or indicators) to a set of latent...

grouping by product. A dimensional data element is similar to a categorical variable in statistics. Typically dimensions in a data warehouse are organized...

a quantitative variable may be continuous or discrete. If it can take on two real values and all the values between them, the variable is continuous in...

column size. Categorical variables are indicated by placing their size (without a bracket) in the middle of the node. Categorical variables that act as...

of categorical and quantitative variables. A mosaic plot, fluctuation diagram, or faceted bar chart may be used to display two categorical variables. Other...