Calcuates Environment Effects

# S3 method for default
e_eff(.data, .y, .gen, .env)

Arguments

.data

data.frame

.y

Response Variable

.gen

Genotypes Factor

.env

Environment Factor

Value

Environment Effects

References

Perez-Elizalde, S., Jarquin, D., and Crossa, J. (2011) A General Bayesian Estimation Method of Linear–Bilinear Models Applied to Plant Breeding Trials With Genotype × Environment Interaction. Journal of Agricultural, Biological, and Environmental Statistics, 17, 15–37. (doi:10.1007/s13253-011-0063-9)

Examples

data(cultivo2008) e_eff( .data = cultivo2008 , .y = y , .gen = entry , .env = site )
#> EEffs #> [1,] -603.1232 #> [2,] -1054.5988 #> [3,] 331.6000 #> [4,] -295.4003 #> [5,] 886.0284 #> [6,] 1566.6586 #> [7,] -1838.0358 #> [8,] 1061.6486 #> [9,] -1344.4093 #> [10,] 207.8232 #> [11,] -1284.7381 #> [12,] -1746.7039 #> [13,] -1955.8413 #> [14,] -1044.4037 #> [15,] -2690.0268 #> [16,] -479.6541 #> [17,] -139.9570 #> [18,] 1781.8341 #> [19,] -1550.7557 #> [20,] -756.1186 #> [21,] -2735.9166 #> [22,] 5925.1444 #> [23,] 3503.9430 #> [24,] -289.8548 #> [25,] 4544.8576