Description Usage Format Details Source References Examples
two class data and probability predictions thereof.
1 |
A data frame with 189 observations on the following 2 variables.
observed
a numeric vector
predicted
a numeric vector
two class data ('observed': MASS::birthwt$low
) and probability predictions
(predict(birthwt.step2, type = "response")
, cf. Venables and Ripley (2002), pp. 195f and ‘Source’) from stats::glm
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | ## From: A two class data example Venables and Ripley pp. 194--199
library(MASS); data("birthwt"); attach(birthwt)
race <- (factor(race, labels = c("white", "black", "other")))
ptd <- factor(ptl > 0)
ftv <- factor(ftv)
levels(ftv)[-(1:2)] <- "2+"
bwt <- data.frame(low = factor(low), age, lwt, race, smoke = (smoke > 0)
, ptd, ht = (ht > 0), ui = (ui > 0), ftv)
detach(birthwt)
birthwt.glm <- glm(low ~ ., family=binomial(link=logit), data=bwt)
birthwt.step2 <- stepAIC(birthwt.glm, ~ .^2
+ I(scale(age)^2) + I(scale(lwt)^2), trace = F )
ht01.twoclass <- data.frame(observed = bwt$low
, predicted = predict(birthwt.step2
, type = "response"))
write.table(ht01.twoclass, file = "ht01.twoclass.txt")
|
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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