What do you get with: sample$x * coef(s_model)[-1]
On Tue, Sep 17, 2013 at 3:09 AM, å²³èµ <yue...@139.com> wrote: > hello all > > I am really confusing that how predict(,type = "terms",) gets the desired > result. For example, > > sample <- matrix(nrow = 10, ncol = 2) > > colnames(sample) <- c("y","x") > > sample[,1] <- c(rep(1,times = 5), rep(0,times = 5)) > > sample[,2] <- c(1,1,0,1,1,0,1,0,0,1) > > sample <- as.data.frame(sample) > > s_model <- glm(y~x, data = sample, family = binomial(link = "logit")) > > s_pred <- predict(s_model, type = "terms", sample) > > print(s_pred) > > x > > 1 0.7167038 > > 2 0.7167038 > > 3 -1.0750557 > > 4 0.7167038 > > 5 0.7167038 > > 6 -1.0750557 > > 7 0.7167038 > > 8 -1.0750557 > > 9 -1.0750557 > > 10 0.7167038 > > attr(,"constant") > > [1] -0.02355661 > > > > But, if i compute it by myself, i can't get the same result. Is the formula > like this: > > scale(sample$x)*coef(s_model)[-1] > > [,1] > > [1,] 1.387891 > > [2,] 1.387891 > > [3,] -2.081836 > > [4,] 1.387891 > > [5,] 1.387891 > > [6,] -2.081836 > > [7,] 1.387891 > > [8,] -2.081836 > > [9,] -2.081836 > > [10,] 1.387891 > > attr(,"scaled:center") > > [1] 0.6 > > attr(,"scaled:scale") > > [1] 0.5163978 > > > > Can someone help me? Thank you! > > > > > > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. > -- Gregory (Greg) L. Snow Ph.D. 538...@gmail.com [[alternative HTML version deleted]]
______________________________________________ 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.