Description Usage Arguments Value Author(s) Examples

For a problem with 1 response and 2 input variables (factors) plots a 3D graph and shows how the simulation evolves.

1 2 |

`x` |
An object of class 'emma'. |

`n` |
The number of factors' levels to be plotted. |

`fn` |
The optimization function. |

`C` |
The number of time instants used in the EMMA procedure. |

`...` |
Other arguments not used. |

...

Laura Villanova, Kate Smith-Miles and Rob J Hyndman

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ```
in.name <- c("x1","x2")
nlev <- c(20, 20)
lower <- c(-3, -3)
upper <- c(3, 3)
out.name <- "y"
weight <- 1
C <- 20
pr.mut <- c(0.1, 0.07, 0.04, rep(0.01, C-3))
emma.peaks<-emma(in.name, nlev, lower, upper, out.name, opt = "mx",
nd = 10, na = 5, weight, C , w1 = 0.7, w2 = 0.4, c1i = 2.5,
c1f = 0.5, c2i = 0.5, c2f = 2.5, b = 5, pr.mut, graph = "no",
fn1 = peaks)
plot(emma.peaks, fn = peaks, n = 50, C = 20)
``` |

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