Code
predictInterval(glmer3LevSlope, newdata = zNew)
Condition
Warning in `chol.default()`:
the matrix is either rank-deficient or not positive definite
Warning in `chol.default()`:
the matrix is either rank-deficient or not positive definite
Warning in `chol.default()`:
the matrix is either rank-deficient or not positive definite
Warning in `chol.default()`:
the matrix is either rank-deficient or not positive definite
Warning in `chol.default()`:
the matrix is either rank-deficient or not positive definite
Warning in `chol.default()`:
the matrix is either rank-deficient or not positive definite
Warning in `chol.default()`:
the matrix is either rank-deficient or not positive definite
Warning in `chol.default()`:
the matrix is either rank-deficient or not positive definite
Warning in `chol.default()`:
the matrix is either rank-deficient or not positive definite
Warning in `chol.default()`:
the matrix is either rank-deficient or not positive definite
Warning in `chol.default()`:
the matrix is either rank-deficient or not positive definite
Warning:
The following levels of BROOD from newdata
-- 100, 101 -- are not in the model data.
Currently, predictions for these values are based only on the
fixed coefficients and the observation-level error.
Output
fit upr lwr
1 0.319305815 1.818685 -1.160422
2 0.287954733 1.716171 -1.163865
3 0.054934676 1.448282 -1.360107
4 0.001274279 1.548561 -1.419932
5 0.087703116 1.448348 -1.450653
6 0.034353299 1.563228 -1.428815
7 0.008824320 1.433124 -1.449002
8 -0.218615435 1.267652 -1.717512
9 -0.181019998 1.316339 -1.692194
10 -0.227707632 1.229211 -1.579833
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.