Description Usage Format Details Source References Examples
multiple class data and probability predictions thereof.
1 |
A data frame with 214 observations on the following 7 variables.
observeda factor with levels Con Head Tabl Veh WinF WinNF
WinFa numeric vector
WinNFa numeric vector
Veha numeric vector
Cona numeric vector
Tabla numeric vector
Heada numeric vector
multiple class data ('observed': MASS::fgl$type) and probability predictions (predict(fgl.rp4), cf. Venables and Ripley (2002), p. 264 and ‘Source’) from rpart::rpart.
1 2 3 4 5 6 | ## From: Forensic glass example Venables and Ripley (2002) pp. 261--265
library(MASS);library(rpart);data(fgl);set.seed(123)
fgl.rp4 <- rpart(type ~ ., data = fgl, cp = 0.03
, parms = list(split = "information"))
ht01.multipleclass <- data.frame(observed = fgl$type, predict(fgl.rp4))
write.table(ht01.multipleclass, file = "ht01.multipleclass.txt")
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Venables, W. N and Ripley, B. D. (2002), Modern Applied Statistics with S (4th edition). Springer, ISBN 0-387-95457-0
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