Tal Galili - 1 year ago 76
R Question

Getting the observations in a rpart's node (i.e.: CART)

I would like to inspect all the observations that reached some node in an rpart decision tree. For example, in the following code:

``````fit <- rpart(Kyphosis ~ Age + Start, data = kyphosis)
fit

n= 81

node), split, n, loss, yval, (yprob)
* denotes terminal node

1) root 81 17 absent (0.79012346 0.20987654)
2) Start>=8.5 62  6 absent (0.90322581 0.09677419)
4) Start>=14.5 29  0 absent (1.00000000 0.00000000) *
5) Start< 14.5 33  6 absent (0.81818182 0.18181818)
10) Age< 55 12  0 absent (1.00000000 0.00000000) *
11) Age>=55 21  6 absent (0.71428571 0.28571429)
22) Age>=111 14  2 absent (0.85714286 0.14285714) *
23) Age< 111 7  3 present (0.42857143 0.57142857) *
3) Start< 8.5 19  8 present (0.42105263 0.57894737) *
``````

I would like to see all the observations in node (5) (i.e.: the 33 observations for which Start>=8.5 & Start< 14.5). Obviously I could manually get to them. But I would like to have some function like (say) "get_node_date". For which I could just run get_node_date(5) - and get the relevant observations.

There seems to be no such function which enables an extraction of the observations from a specific node. I would solve it as follows: first determine which rule/s is/are used for the node you are insterested in. You can use `path.rpart` for it. Then you could apply the rule/s one after the other to extract the observations.

This approach as a function:

``````get_node_date <- function(tree = fit, node = 5){
rule <- path.rpart(tree, node)
rule_2 <- sapply(rule[[1]][-1], function(x) strsplit(x, '(?<=[><=])(?=[^><=])|(?<=[^><=])(?=[><=])', perl = TRUE))
ind <- apply(do.call(cbind, lapply(rule_2, function(x) eval(call(x[2], kyphosis[,x[1]], as.numeric(x[3]))))), 1, all)
kyphosis[ind,]
}
``````

For node 5 you get:

``````get_node_date()

node number: 5
root
Start>=8.5
Start< 14.5
Kyphosis Age Number Start
2    absent 158      3    14
10  present  59      6    12
11  present  82      5    14
14   absent   1      4    12
18   absent 175      5    13
20   absent  27      4     9
23  present  96      3    12
26   absent   9      5    13
28   absent 100      3    14
32   absent 125      2    11
33   absent 130      5    13
35   absent 140      5    11
37   absent   1      3     9
39   absent  20      6     9
40  present  91      5    12
42   absent  35      3    13
46  present 139      3    10
48   absent 131      5    13
50   absent 177      2    14
51   absent  68      5    10
57   absent   2      3    13
59   absent  51      7     9
60   absent 102      3    13
66   absent  17      4    10
68   absent 159      4    13
69   absent  18      4    11
71   absent 158      5    14
72   absent 127      4    12
74   absent 206      4    10
77  present 157      3    13
78   absent  26      7    13
79   absent 120      2    13
81   absent  36      4    13
``````
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