interaction detector — interaction

Identify the interaction between different risk factors, that is, assess whether factors X1 and X2 together increase or decrease the explanatory power of the dependent variable Y, or whether the effects of these factors on Y are independent of each other.

Usage

interaction_detector(y, x1, x2)

Arguments

y: Dependent variable, continuous numeric vector.
x1: Covariate \(X_1\), factor, character or discrete numeric.
x2: Covariate \(X_2\), factor, character or discrete numeric.

Value

A list.

Variable1 Q-statistics: Q-statistics for variable1
Variable2 Q-statistics: Q-statistics for variable2
Variable1 and Variable2 interact Q-statistics: Q-statistics for variable1 and variable2 interact
Interaction: the interact result type

Author

Wenbo Lv lyu.geosocial@gmail.com

Examples

interaction_detector(y = 1:7,
                     x1 = c('x',rep('y',3),rep('z',3)),
                     x2 = c(rep('a',2),rep('b',2),rep('c',3)))
#> $`Variable1 Q-statistics`
#> [1] 0.7714286
#> 
#> $`Variable2 Q-statistics`
#> [1] 0.8928571
#> 
#> $`Variable1 and Variable2 interact Q-statistics`
#> [1] 0.75
#> 
#> $Interaction
#> [1] "Weaken, nonlinear"
#>