r - inverse of 'predict' function -

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using predict() 1 can obtain predicted value of dependent variable (y) value of independent variable (x) given model. there function predicts x given y?

for example:

kalythos <- data.frame(x = c(20,35,45,55,70),      n = rep(50,5), y = c(6,17,26,37,44)) kalythos$ymat <- cbind(kalythos$y, kalythos$n - kalythos$y) model <- glm(ymat ~ x, family = binomial, data = kalythos)

if want know predicted value of model x=50:

predict(model, data.frame(x=50), type = "response")

i want know x makes y=30, example.

saw previous answer deleted. in case, given n=50 , model binomial, calculate x given y using:

f <- function (y,m) {   (logit(y/50) - coef(m)[["(intercept)"]]) / coef(m)[["x"]] } > f(30,model) [1] 48.59833

but when doing so, better consult statistician show how calculate inverse prediction interval. , please, take vitoshka's considerations account.


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