Obtains predictions from an object fitted with waasb().
Usage
# S3 method for waasb
predict(object, ...)Author
Tiago Olivoto tiagoolivoto@gmail.com
Examples
# \donttest{
library(metan)
model <- waasb(data_ge,
env = ENV,
gen = GEN,
rep = REP,
resp = c(GY, HM))
#> Evaluating trait GY |====================== | 50% 00:00:02
Evaluating trait HM |============================================| 100% 00:00:04
#> Method: REML/BLUP
#> Random effects: GEN, GEN:ENV
#> Fixed effects: ENV, REP(ENV)
#> Denominador DF: Satterthwaite's method
#> ---------------------------------------------------------------------------
#> P-values for Likelihood Ratio Test of the analyzed traits
#> ---------------------------------------------------------------------------
#> model GY HM
#> COMPLETE NA NA
#> GEN 1.11e-05 5.07e-03
#> GEN:ENV 2.15e-11 2.27e-15
#> ---------------------------------------------------------------------------
#> All variables with significant (p < 0.05) genotype-vs-environment interaction
predict(model)
#> # A tibble: 420 × 5
#> ENV GEN REP GY HM
#> <fct> <chr> <fct> <dbl> <dbl>
#> 1 E1 G1 1 2.46 46.6
#> 2 E1 G1 2 2.44 46.0
#> 3 E1 G1 3 2.31 47.1
#> 4 E1 G2 1 2.84 45.7
#> 5 E1 G2 2 2.82 45.1
#> 6 E1 G2 3 2.69 46.2
#> 7 E1 G3 1 2.89 46.3
#> 8 E1 G3 2 2.87 45.7
#> 9 E1 G3 3 2.75 46.8
#> 10 E1 G4 1 2.61 48.0
#> # … with 410 more rows
# }