# resp_surf: Response surface model In metan: Multi Environment Trials Analysis

## Description

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

## Usage

 1 2 3 4 5 6 7 8 9 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 tiagoolivoto@gmail.com

## Examples

  1 2 3 4 5 6 7 8 9 10 11 12 13 14 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 Nov. 10, 2021, 9:11 a.m.