resp_surf: Response surface model

In metan: Multi Environment Trials Analysis

Response surface model

Description

Compute a surface model and find the best combination of factor1 and factor2 to obtain the stationary point.

Usage

resp_surf(
  .data,
  factor1,
  factor2,
  rep = NULL,
  resp,
  prob = 0.05,
  verbose = TRUE
)

Arguments

.data	The dataset containing the columns related to Environments, factor1, factor2, replication/block and response variable(s).
factor1	The first factor, for example, dose of Nitrogen.
factor2	The second factor, for example, dose of potassium.
rep	The name of the column that contains the levels of the replications/blocks, if a designed experiment was conducted. Defaults to NULL.
resp	The response variable(s).
prob	The probability error.
verbose	If verbose = TRUE then some results are shown in the console.

Author(s)

Tiago Olivoto [e-mail]

Examples

library(metan)
# A small toy example

df <- data.frame(
 expand.grid(x = seq(0, 4, by = 1),
             y = seq(0, 4, by = 1)),
 z = c(10, 11, 12, 11, 10,
       14, 15, 16, 15, 14,
       16, 17, 18, 17, 16,
       14, 15, 16, 15, 14,
       10, 11, 12, 11, 10)
)
mod <- resp_surf(df, x, y, resp = z)
plot(mod)

metan documentation built on March 7, 2023, 5:34 p.m.