Hi,
the predict-function is not very good in guessing names from a given new
dataset. So if you want to predict x1 from some new x2 values, your
newdata argument should contain some x2 - values.
predict(model, newdata=data.frame(x2=seq(0,4)), interval =
c("confidence"), level = 0.90,type="response")
without that, predict uses your old x2 values and issues a warning message.
Martin Batholdy schrieb:
hi,
I don't know what I am doing wrong,
but with that code;
x1 <- c(1.60, 0.27, 0.17, 1.63, 1.37, 2.00, 0.90, 1.07, 0.89, 0.43,
0.37, 0.59,
0.47, 1.83, 1.79, 0.90, 0.72, 1.83, 0.23, 1.97, 2.03, 2.19, 2.03, 0.86)
x2 <- c(1.30, 0.24, 0.20, 0.50, 1.33, 1.87, 1.30, 0.75, 1.07, 0.43,
0.37, 0.87,
1.40, 1.37, 1.63, 0.80, 0.57, 1.60, 0.39, 2.03, 1.90, 2.07, 1.93, 0.93)
model <- lm(x1 ~ x2)
predict(model, newdata=data.frame(x=seq(0,4)), ,interval =
c("confidence"), level = 0.90,type="response")
I get an error message saying "newdate has four lines, but the
variable found has 24"
what is wrong in the code?
thanks!
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