Make a multivariate design matrix
Given q univariate design matrices, the function
mkMvX creates a multivariate design matrix suitable for use in spPredict.
mkMvX(X)
X |
a list of q univariate design matrices. The matrices must have the same number of rows (i.e., observations) but may have different number of columns (i.e., regressors). |
A multivariate design matrix suitable for use in spPredict.
Andrew O. Finley finleya@msu.edu,
Sudipto Banerjee sudiptob@biostat.umn.edu.
## Not run: ##Define some univariate model design matrices ##with intercepts. X.1 <- cbind(rep(1, 10), matrix(rnorm(50), nrow=10)) X.2 <- cbind(rep(1, 10), matrix(rnorm(20), nrow=10)) X.3 <- cbind(rep(1, 10), matrix(rnorm(30), nrow=10)) ##Make a multivariate design matrix suitable ##for use in spPredict. X.mv <- mkMvX(list(X.1, X.2, X.3)) ## End(Not run)
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