Description Format Details Source References Examples
Binary class data and probability predictions thereof.
A data frame with 189 observations on the following 2 variables.
a numeric vector
a numeric vector
Binary class data ('observed': MASS::birthwt$low
) and probability
predictions
(predict(birthwt.step2, type = "response")
, cf. Venables and Ripley
(2002), pp. 195f and ‘Source’) from stats::glm
.
1 2 3 4 5 6 7 8 9 10 | ## From: A binary class data example Venables and
Ripley pp. 194--199 library(MASS); data("birthwt"); attach(birthwt) race <-
(factor(race, labels = c("white", "black", "other"))) ptd <- factor(ptl > 0)
ftv <- factor(ftv) levels(ftv)[-(1:2)] <- "2+" bwt <- data.frame(low =
factor(low), age, lwt, race, smoke = (smoke > 0) , ptd, ht = (ht > 0), ui =
(ui > 0), ftv) detach(birthwt) birthwt.glm <- glm(low ~ .,
family=binomial(link=logit), data=bwt) birthwt.step2 <- stepAIC(birthwt.glm,
~ .^2 + I(scale(age)^2) + I(scale(lwt)^2), trace = F ) ht01.twoclass <-
data.frame(observed = bwt$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
1 2 3 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.