Extract Rules from 'rpart' Object
Rules.Rd
Extract rules from an rpart object. This can be useful, if the rules must be implemented in another system. The rules contain all the criteria for the binary splits of an rpart tree from the root node down to the specified leaf.
Details
The function builds upon the original function path.rpart
, which is bulky in some situations.
Value
a list with the rules
- frame
the frame of the rpart
- ylevels
the y values of the node
- ds.size
the size of the dataset
- path
a list of character vecotrs containing the rules
Examples
r.rp <- FitMod(diabetes ~ ., data=d.pima, fitfn="rpart")
Rules(r.rp)
#>
#> Rule number: 1
#>
#> Rule number: 2
#> glucose< 127.5
#>
#> Rule number: 4 [yval=neg cover=271 (35%) prob=0.08]
#> glucose< 127.5
#> age< 28.5
#>
#> Rule number: 5
#> glucose< 127.5
#> age>=28.5
#>
#> Rule number: 10 [yval=neg cover=41 (5%) prob=0.05]
#> glucose< 127.5
#> age>=28.5
#> mass< 26.35
#>
#> Rule number: 11
#> glucose< 127.5
#> age>=28.5
#> mass>=26.35
#>
#> Rule number: 22 [yval=neg cover=55 (7%) prob=0.18]
#> glucose< 127.5
#> age>=28.5
#> mass>=26.35
#> glucose< 99.5
#>
#> Rule number: 23
#> glucose< 127.5
#> age>=28.5
#> mass>=26.35
#> glucose>=99.5
#>
#> Rule number: 46
#> glucose< 127.5
#> age>=28.5
#> mass>=26.35
#> glucose>=99.5
#> pedigree< 0.561
#>
#> Rule number: 92 [yval=neg cover=21 (3%) prob=0.19]
#> glucose< 127.5
#> age>=28.5
#> mass>=26.35
#> glucose>=99.5
#> pedigree< 0.561
#> pedigree< 0.2
#>
#> Rule number: 93
#> glucose< 127.5
#> age>=28.5
#> mass>=26.35
#> glucose>=99.5
#> pedigree< 0.561
#> pedigree>=0.2
#>
#> Rule number: 186
#> glucose< 127.5
#> age>=28.5
#> mass>=26.35
#> glucose>=99.5
#> pedigree< 0.561
#> pedigree>=0.2
#> pregnant>=1.5
#>
#> Rule number: 372 [yval=neg cover=40 (5%) prob=0.30]
#> glucose< 127.5
#> age>=28.5
#> mass>=26.35
#> glucose>=99.5
#> pedigree< 0.561
#> pedigree>=0.2
#> pregnant>=1.5
#> pressure>=67
#>
#> Rule number: 373 [yval=pos cover=12 (2%) prob=0.75]
#> glucose< 127.5
#> age>=28.5
#> mass>=26.35
#> glucose>=99.5
#> pedigree< 0.561
#> pedigree>=0.2
#> pregnant>=1.5
#> pressure< 67
#>
#> Rule number: 187 [yval=pos cover=11 (1%) prob=0.82]
#> glucose< 127.5
#> age>=28.5
#> mass>=26.35
#> glucose>=99.5
#> pedigree< 0.561
#> pedigree>=0.2
#> pregnant< 1.5
#>
#> Rule number: 47 [yval=pos cover=34 (4%) prob=0.74]
#> glucose< 127.5
#> age>=28.5
#> mass>=26.35
#> glucose>=99.5
#> pedigree>=0.561
#>
#> Rule number: 3
#> glucose>=127.5
#>
#> Rule number: 6
#> glucose>=127.5
#> mass< 29.95
#>
#> Rule number: 12 [yval=neg cover=41 (5%) prob=0.15]
#> glucose>=127.5
#> mass< 29.95
#> glucose< 145.5
#>
#> Rule number: 13
#> glucose>=127.5
#> mass< 29.95
#> glucose>=145.5
#>
#> Rule number: 26 [yval=neg cover=21 (3%) prob=0.38]
#> glucose>=127.5
#> mass< 29.95
#> glucose>=145.5
#> insulin< 14.5
#>
#> Rule number: 27 [yval=pos cover=14 (2%) prob=0.71]
#> glucose>=127.5
#> mass< 29.95
#> glucose>=145.5
#> insulin>=14.5
#>
#> Rule number: 7
#> glucose>=127.5
#> mass>=29.95
#>
#> Rule number: 14
#> glucose>=127.5
#> mass>=29.95
#> glucose< 157.5
#>
#> Rule number: 28
#> glucose>=127.5
#> mass>=29.95
#> glucose< 157.5
#> age< 30.5
#>
#> Rule number: 56
#> glucose>=127.5
#> mass>=29.95
#> glucose< 157.5
#> age< 30.5
#> pressure>=61
#>
#> Rule number: 112 [yval=neg cover=31 (4%) prob=0.23]
#> glucose>=127.5
#> mass>=29.95
#> glucose< 157.5
#> age< 30.5
#> pressure>=61
#> mass< 41.8
#>
#> Rule number: 113 [yval=pos cover=9 (1%) prob=0.67]
#> glucose>=127.5
#> mass>=29.95
#> glucose< 157.5
#> age< 30.5
#> pressure>=61
#> mass>=41.8
#>
#> Rule number: 57 [yval=pos cover=10 (1%) prob=1.00]
#> glucose>=127.5
#> mass>=29.95
#> glucose< 157.5
#> age< 30.5
#> pressure< 61
#>
#> Rule number: 29 [yval=pos cover=65 (8%) prob=0.72]
#> glucose>=127.5
#> mass>=29.95
#> glucose< 157.5
#> age>=30.5
#>
#> Rule number: 15 [yval=pos cover=92 (12%) prob=0.87]
#> glucose>=127.5
#> mass>=29.95
#> glucose>=157.5
#>