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.
observed
a factor with levels Con
Head
Tabl
Veh
WinF
WinNF
WinF
a numeric vector
WinNF
a numeric vector
Veh
a numeric vector
Con
a numeric vector
Tabl
a numeric vector
Head
a 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")
|
Venables, W. N and Ripley, B. D. (2002), Modern Applied Statistics with S (4th edition). Springer, ISBN 0-387-95457-0
1 2 3 |
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