Description Usage Arguments Details Value References Examples

View source: R/carrot_functions.R

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

1 | ```
compute_weights(vari_col, vari)
``` |

`vari_col` |
number of predictors |

`vari` |
set of predictors |

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

Returns an array of weights of the size `vari_col`

ref1CARRoT

\insertRefref2012-18631-001CARRoT

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ```
#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)
``` |

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