make_numeric_sets {CARRoT} R Documentation

## Transforming the set of predictors into a numeric set

### Description

Function which turns a set of predictors containing non-numeric variables into a fully numeric set

### Usage

```make_numeric_sets(a,ai,k,vari,ra,l,mode)
```

### Arguments

 `a` An M x N matrix, containing all possible subsets (N overall) of the size M of predictors' indices; therefore each column of `a` defines a unique subset of the predictors `ai` array of indices of the array `a` `k` index of the array `ai` `vari` set of all predictors `ra` array of sample indices of `vari` `l` size of the sample `mode` `'binary'` (logistic regression), `'multin'` (multinomial regression)

### Details

Function transforms the whole set of predictors into a numeric set by consecutively calling function `make_numeric` for each predictor

### Value

Returns a list containing two objects: `tr` and `test`

 `tr` training set transformed into a numeric one `test` test set transformed into a numeric one

`make_numeric`

### Examples

```#creating a categorical numeric variable

a<-t(rmultinom(100,1,c(0.2,0.3,0.5)))%*%c(1,2,3)

#creating an analogous non-numeric variable

c<-array(NA,100)
c[a==1]='red'
c[a==2]='green'
c[a==3]='blue'

#creating a data-set

b<-data.frame(matrix(c(a,rbinom(100,1,0.3),runif(100,0,1)),ncol=3))

#making the first column of the data-set non-numeric

b[,1]=data.frame(c)

#running the function

make_numeric_sets(combn(3,2),1:3,1,b,sample(1:100,60),100,"binary")
```

[Package CARRoT version 2.5.2 Index]