Print the anova_ind 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 anova_ind
print(x, export = FALSE, file.name = NULL, digits = 3, ...)Arguments
- x
An object of class
anova_ind.- 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 <- data_ge %>% anova_ind(ENV, GEN, REP, c(GY, HM))
#> Evaluating trait GY |====================== | 50% 00:00:00
Evaluating trait HM |============================================| 100% 00:00:00
print(model)
#> Variable GY
#> ---------------------------------------------------------------------------
#> Within-environment ANOVA results
#> ---------------------------------------------------------------------------
#> # A tibble: 14 × 15
#> ENV MEAN DFG MSG FCG PFG DFB MSB FCB PFB DFE
#> <chr> <dbl> <int> <dbl> <dbl> <dbl> <int> <dbl> <dbl> <dbl> <int>
#> 1 E1 2.52 9 0.337 2.34 0.0594 2 0.0652 0.453 0.643 18
#> 2 E10 2.18 9 0.296 11.1 0.0000110 2 0.654 24.5 0.00000728 18
#> 3 E11 1.37 9 0.151 1.44 0.244 2 0.377 3.59 0.0486 18
#> 4 E12 1.61 9 0.320 5.98 0.000647 2 0.0919 1.72 0.208 18
#> 5 E13 2.91 9 0.713 7.18 0.000210 2 0.0767 0.772 0.477 18
#> 6 E14 1.78 9 0.131 1.73 0.153 2 0.104 1.37 0.278 18
#> 7 E2 3.18 9 0.207 1.16 0.376 2 0.698 3.91 0.0388 18
#> 8 E3 4.06 9 0.335 1.87 0.123 2 0.489 2.73 0.0921 18
#> 9 E4 3.68 9 0.531 3.86 0.00712 2 0.116 0.846 0.446 18
#> 10 E5 3.91 9 0.526 7.93 0.000110 2 0.219 3.30 0.0602 18
#> 11 E6 2.66 9 0.135 2.30 0.0635 2 0.160 2.73 0.0922 18
#> 12 E7 1.99 9 0.337 3.70 0.00873 2 0.381 4.19 0.0322 18
#> 13 E8 2.54 9 0.215 7.72 0.000131 2 0.817 29.4 0.00000215 18
#> 14 E9 3.06 9 0.679 6.12 0.000562 2 0.583 5.25 0.0160 18
#> # … with 4 more variables: MSE <dbl>, CV <dbl>, h2 <dbl>, AS <dbl>
#> ---------------------------------------------------------------------------
#>
#>
#>
#> Variable HM
#> ---------------------------------------------------------------------------
#> Within-environment ANOVA results
#> ---------------------------------------------------------------------------
#> # A tibble: 14 × 15
#> ENV MEAN DFG MSG FCG PFG DFB MSB FCB PFB DFE MSE
#> <chr> <dbl> <int> <dbl> <dbl> <dbl> <int> <dbl> <dbl> <dbl> <int> <dbl>
#> 1 E1 47.4 9 5.22 2.82 2.93e-2 2 3.11 1.68 2.15e-1 18 1.85
#> 2 E10 44.3 9 28.8 13.2 3.02e-6 2 9.10 4.19 3.22e-2 18 2.17
#> 3 E11 54.2 9 6.06 1.96 1.07e-1 2 2.81 0.910 4.20e-1 18 3.09
#> 4 E12 49.6 9 10.4 1.96 1.08e-1 2 2.77 0.520 6.03e-1 18 5.32
#> 5 E13 46.6 9 13.9 10.3 1.80e-5 2 25.5 19.0 3.71e-5 18 1.34
#> 6 E14 41.0 9 5.28 4.34 3.93e-3 2 10.0 8.23 2.89e-3 18 1.22
#> 7 E2 44.1 9 13.2 4.32 4.02e-3 2 6.70 2.20 1.40e-1 18 3.05
#> 8 E3 52.9 9 8.00 2.88 2.69e-2 2 7.30 2.62 1.00e-1 18 2.78
#> 9 E4 50 9 7.93 6.35 4.51e-4 2 2.10 1.68 2.14e-1 18 1.25
#> 10 E5 52.2 9 11.8 1.86 1.26e-1 2 6.86 1.08 3.62e-1 18 6.37
#> 11 E6 45.9 9 15.8 7.46 1.63e-4 2 12.9 6.06 9.71e-3 18 2.12
#> 12 E7 48.5 9 5.00 1.05 4.38e-1 2 0.705 0.149 8.63e-1 18 4.74
#> 13 E8 45.2 9 11.6 5.34 1.27e-3 2 12.0 5.51 1.36e-2 18 2.17
#> 14 E9 51.3 9 9.33 4.08 5.41e-3 2 5.73 2.50 1.10e-1 18 2.29
#> # … with 3 more variables: CV <dbl>, h2 <dbl>, AS <dbl>
#> ---------------------------------------------------------------------------
#>
#>
#>
# }