D1.fun: Function to join x.star to t.vec to give matrix D1

Description

Function to join x.star to t.vec to give matrix D1 with correct row- and column- names.

Usage

D1.fun(x.star, t.vec)

Arguments

x.star

Matrix of code run points

t.vec

Matrix of parameter theta values

Details

Note that the matrix returned is a D1 matrix: it is a design matrix for code observations as it contains both x and theta

References

M. C. Kennedy and A. O'Hagan 2001. Bayesian calibration of computer models. Journal of the Royal Statistical Society B, 63(3) pp425-464 M. C. Kennedy and A. O'Hagan 2001. Supplementary details on Bayesian calibration of computer models, Internal report, University of Sheffield. Available at http://www.shef.ac.uk/~st1ao/ps/calsup.ps R. K. S. Hankin 2005. Introducing BACCO, an R bundle for Bayesian analysis of computer code output, Journal of Statistical Software, 14(16)

Examples

Run this code

data(toys)
jj <- extractor.toy(D1.toy)
x.star.toy <- jj$x.star
t.vec.toy  <- jj$t.vec
D1.fun(x.star.toy , t.vec.toy)  # both dataframes
D1.fun(x.star.toy , theta.toy)  # one dataframe, one vector
D1.fun(x.toy , t.vec.toy)       # one vector, one dataframe
D1.fun(x.toy,theta.toy)         # two vectors