Print the ammi_indexes object in two ways. By default, the results are shown
in the R console. The results can also be exported to the directory into a
*.txt file.
Usage
# S3 method for ammi_indexes
print(x, which = "stats", export = FALSE, file.name = NULL, digits = 3, ...)Arguments
- x
An object of class
ammi_indexes.- which
Which should be printed. Defaults to
"stats". Other possible values are"ranks"for genotype ranking and"ssi"for the simultaneous selection index.- export
A logical argument. If
TRUE, a *.txt file is exported to the working directory.- file.name
The name of the file if
export = TRUE- digits
The significant digits to be shown.
- ...
Options used by the tibble package to format the output. See
tibble::print()for more details.
Author
Tiago Olivoto tiagoolivoto@gmail.com
Examples
# \donttest{
library(metan)
model <- performs_ammi(data_ge, ENV, GEN, REP, GY) %>%
ammi_indexes()
#> variable GY
#> ---------------------------------------------------------------------------
#> AMMI analysis table
#> ---------------------------------------------------------------------------
#> Source Df Sum Sq Mean Sq F value Pr(>F) Proportion Accumulated
#> ENV 13 279.574 21.5057 62.33 0.00e+00 NA NA
#> REP(ENV) 28 9.662 0.3451 3.57 3.59e-08 NA NA
#> GEN 9 12.995 1.4439 14.93 2.19e-19 NA NA
#> GEN:ENV 117 31.220 0.2668 2.76 1.01e-11 NA NA
#> PC1 21 10.749 0.5119 5.29 0.00e+00 34.4 34.4
#> PC2 19 9.924 0.5223 5.40 0.00e+00 31.8 66.2
#> PC3 17 4.039 0.2376 2.46 1.40e-03 12.9 79.2
#> PC4 15 3.074 0.2049 2.12 9.60e-03 9.8 89.0
#> PC5 13 1.446 0.1113 1.15 3.18e-01 4.6 93.6
#> PC6 11 0.932 0.0848 0.88 5.61e-01 3.0 96.6
#> PC7 9 0.567 0.0630 0.65 7.53e-01 1.8 98.4
#> PC8 7 0.362 0.0518 0.54 8.04e-01 1.2 99.6
#> PC9 5 0.126 0.0252 0.26 9.34e-01 0.4 100.0
#> Residuals 252 24.367 0.0967 NA NA NA NA
#> Total 536 389.036 0.7258 NA NA NA NA
#> ---------------------------------------------------------------------------
#>
#> All variables with significant (p < 0.05) genotype-vs-environment interaction
#> Done!
print(model)
#> Variable GY
#> ---------------------------------------------------------------------------
#> AMMI-based stability indexes
#> ---------------------------------------------------------------------------
#> # A tibble: 10 × 16
#> GEN Y ASTAB ssiASTAB ASI ASV AVAMGE DA DZ EV FA
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 G1 2.60 0.108 8 0.110 0.346 1.32 0.446 0.244 0.0149 0.199
#> 2 G10 2.47 1.47 20 0.389 1.23 5.40 1.62 0.917 0.210 2.63
#> 3 G2 2.74 0.820 10 0.0792 0.249 2.80 0.979 0.846 0.179 0.959
#> 4 G3 2.96 0.0959 3 0.0359 0.113 1.00 0.339 0.288 0.0207 0.115
#> 5 G4 2.64 0.363 9 0.189 0.594 2.16 0.804 0.457 0.0521 0.646
#> 6 G5 2.54 0.259 10 0.137 0.430 1.88 0.643 0.416 0.0433 0.414
#> 7 G6 2.53 0.440 14 0.0843 0.265 2.28 0.740 0.604 0.0911 0.548
#> 8 G7 2.74 0.971 13 0.211 0.663 3.17 1.16 0.875 0.191 1.34
#> 9 G8 3.00 0.416 6 0.182 0.574 1.99 0.828 0.517 0.0669 0.686
#> 10 G9 2.51 0.947 17 0.312 0.983 3.68 1.31 0.723 0.131 1.73
#> # … with 5 more variables: MASI <dbl>, MASV <dbl>, SIPC <dbl>, ZA <dbl>,
#> # WAAS <dbl>
# }