Names of random variables

Retrieve or set the names of random variables in the case of a probability distribution.

The model is represented by its generating sequence of discrete probability distribution. Each distribution is defined over a set of variables. This function returns the set of all variables in the model

variables(x)
variables(x) <- value
getVariables(x)
setVariables(x, value)

# S3 method for Distribution
variables(x)

# S3 method for Distribution
variables(x) <- value

# S3 method for Model
variables(x)

Arguments

x

distribution
x

compositional model

Value

character

Details

A discrete distribution describes the probability of occurrence of each value of a discrete random variable. Multidimensional discrete distribution describe probability of occurrence of a combination of values of discrete random variables. For our use, the random variables are named. Using functions variables and variables<- you can read and set the distribution data matrix.

Methods (by class)

  • Distribution: Retrieve vector of random variables

  • Distribution: Set vector of random variables

  • Model: Retrieve vector of random variables

See also

Distribution

Examples

# Distribution class
data(Pi)
variables(Pi)
#> [1] "A" "B"
variables(Pi) <- c("C", "D")
dTable(Pi)
#>    C D MUDIM.frequency
#> 1: 0 0             0.1
#> 2: 0 1             0.2
#> 3: 1 0             0.3
#> 4: 1 1             0.4
# Model class
data(m)
variables(m)
#> [1] "D" "N" "R" "T" "W" "U" "B"