compute_weights: Weights of predictors

In CARRoT: Predicting Categorical and Continuous Outcomes Using One in Ten Rule

Weights of predictors

Description

Function which computes the weight of each predictor according to the rules of thumb and outputs it into corresponding array

Usage

compute_weights(vari_col, vari)

Arguments

vari_col	number of predictors
vari	set of predictors

Details

Continuous or categorical numerical variable with more then 5 categories has weight 1, otherwise it has weight n-1 where n is the number of categories

Value

Returns an array of weights of the size vari_col

References

\insertRef

ref1CARRoT

\insertRef

ref2012-18631-001CARRoT

Examples

#creating data-set with for variables

a<-matrix(NA,nrow=100,ncol=4)

#binary variable

a[,1]=rbinom(100,1,0.3)

#continuous variable

a[,2]=runif(100,0,1)

#categorical numeric with les than 5 categories

a[,3]=t(rmultinom(100,1,c(0.2,0.3,0.5)))%*%c(1,2,3)

#categorical numeric with 5 categories

a[,4]=t(rmultinom(100,1,c(0.2,0.3,0.3,0.1,0.1)))%*%c(1,2,3,4,5)

#running the function

compute_weights(4,a)

CARRoT documentation built on Oct. 14, 2023, 1:06 a.m.