Should I understand that this message was received? Thanks
----- Forwarded Message ----- From: carol white <wht_...@yahoo.com> To: "r-h...@stat.math.ethz.ch" <r-h...@stat.math.ethz.ch> Sent: Sunday, January 27, 2013 8:31 PM Subject: rpart Hi, When I look at the summary of an rpart object run on my data, I get 7 nodes but when I plot the rpart object, I get only 3 nodes. Should the number of nodes not match in the results of the 2 functions (summary and plot) or it is not always the same? Look forward to your reply, Carol -------------------------------------------- summary(rpart.res) Call: rpart(formula = mydata$class ~ ., data = as.data.frame(t(mydata))) n= 62 CP nsplit rel error xerror xstd 1 0.6363636 0 1.0000000 1.0000000 0.1712469 2 0.1363636 1 0.3636364 0.6818182 0.1532767 3 0.0100000 2 0.2272727 0.7727273 0.1596659 Variable importance Hsa.627 Hsa.692 Hsa.692.2 Hsa.3306 Hsa.601 Hsa.831 Hsa.1832 Hsa.2456 19 13 11 10 10 8 6 6 Hsa.8147 Hsa.1131 Hsa.692.1 6 5 5 Node number 1: 62 observations, complexity param=0.6363636 predicted class=t expected loss=0.3548387 P(node) =1 class counts: 22 40 probabilities: 0.355 0.645 left son=2 (14 obs) right son=3 (48 obs) Primary splits: Hsa.627 < 59.83 to the left, improve=15.05376, (0 missing) Hsa.8147 < 1696.23 to the right, improve=14.46790, (0 missing) Hsa.37937 < 379.39 to the right, improve=13.75358, (0 missing) Hsa.692.2 < 842.305 to the right, improve=12.38710, (0 missing) Hsa.1832 < 735.805 to the right, improve=11.90495, (0 missing) Surrogate splits: Hsa.692.2 < 1086.655 to the right, agree=0.903, adj=0.571, (0 split) Hsa.3306 < 170.515 to the left, agree=0.887, adj=0.500, (0 split) Hsa.601 < 88.065 to the left, agree=0.887, adj=0.500, (0 split) Hsa.692 < 1251.99 to the right, agree=0.871, adj=0.429, (0 split) Hsa.831 < 281.54 to the left, agree=0.871, adj=0.429, (0 split) Node number 2: 14 observations predicted class=n expected loss=0 P(node) =0.2258065 class counts: 14 0 probabilities: 1.000 0.000 Node number 3: 48 observations, complexity param=0.1363636 predicted class=t expected loss=0.1666667 P(node) =0.7741935 class counts: 8 40 probabilities: 0.167 0.833 left son=6 (7 obs) right son=7 (41 obs) Primary splits: Hsa.8147 < 1722.605 to the right, improve=4.915215, (0 missing) Hsa.1832 < 681.145 to the right, improve=4.915215, (0 missing) Hsa.1410 < 49.985 to the left, improve=4.915215, (0 missing) Hsa.2456 < 186.195 to the right, improve=4.915215, (0 missing) Hsa.11616 < 969.085 to the right, improve=4.915215, (0 missing) Surrogate splits: Hsa.1832 < 681.145 to the right, agree=1.000, adj=1.000, (0 split) Hsa.2456 < 186.195 to the right, agree=1.000, adj=1.000, (0 split) Hsa.692 < 1048.375 to the right, agree=0.979, adj=0.857, (0 split) Hsa.692.1 < 1136.75 to the right, agree=0.979, adj=0.857, (0 split) Hsa.1131 < 1679.54 to the right, agree=0.979, adj=0.857, (0 split) Node number 6: 7 observations predicted class=n expected loss=0.2857143 P(node) =0.1129032 class counts: 5 2 probabilities: 0.714 0.286 Node number 7: 41 observations predicted class=t expected loss=0.07317073 P(node) =0.6612903 class counts: 3 38 probabilities: 0.073 0.927
<<attachment: rpart.png>>
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
