Print the Annicchiarico 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 class 'Annicchiarico'
print(x, export = FALSE, file.name = NULL, digits = 3, ...)Arguments
- x
The
Annicchiaricox- 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)
Ann <- Annicchiarico(data_ge2,
env = ENV,
gen = GEN,
rep = REP,
resp = PH
)
#> Evaluating trait PH |============================================| 100% 00:00:00
print(Ann)
#> Variable PH
#> ---------------------------------------------------------------------------
#> Environmental index
#> ---------------------------------------------------------------------------
#> # A tibble: 4 × 4
#> ENV Y index class
#> <fct> <dbl> <dbl> <chr>
#> 1 A1 2.79 0.308 favorable
#> 2 A2 2.46 -0.0229 unfavorable
#> 3 A3 2.17 -0.318 unfavorable
#> 4 A4 2.52 0.0329 favorable
#> ---------------------------------------------------------------------------
#> Analysis for all environments
#> ---------------------------------------------------------------------------
#> # A tibble: 13 × 6
#> GEN Y Mean_rp Sd_rp Wi rank
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 H1 2.62 106. 9.38 99.3 2
#> 2 H10 2.31 93.0 6.93 88.3 12
#> 3 H11 2.39 96.1 6.27 91.9 9
#> 4 H12 2.44 98.6 11.2 91.0 10
#> 5 H13 2.54 103. 12.4 94.4 7
#> 6 H2 2.60 105. 9.91 98.1 3
#> 7 H3 2.59 104. 11.2 96.6 6
#> 8 H4 2.58 104. 8.76 97.7 5
#> 9 H5 2.57 103. 5.55 99.5 1
#> 10 H6 2.56 103. 7.83 97.7 4
#> 11 H7 2.40 96.8 6.67 92.3 8
#> 12 H8 2.33 93.6 9.61 87.1 13
#> 13 H9 2.36 94.8 6.85 90.2 11
#> ---------------------------------------------------------------------------
#> Analysis for favorable environments
#> ---------------------------------------------------------------------------
#> # A tibble: 13 × 6
#> GEN Y Mean_rp Sd_rp Wi rank
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 H1 2.68 101. 5.09 97.6 9
#> 2 H10 2.59 97.3 3.38 95.0 12
#> 3 H11 2.66 100. 2.41 98.5 7
#> 4 H12 2.61 98.5 3.00 96.5 10
#> 5 H13 2.66 100. 1.63 99.3 5
#> 6 H2 2.66 100. 0.203 100. 3
#> 7 H3 2.70 101. 5.22 97.9 8
#> 8 H4 2.71 102. 0.839 102. 2
#> 9 H5 2.74 103. 2.32 102. 1
#> 10 H6 2.63 98.9 0.292 98.7 6
#> 11 H7 2.65 99.9 0.812 99.3 4
#> 12 H8 2.62 98.9 3.60 96.5 11
#> 13 H9 2.62 98.1 9.33 91.8 13
#> ---------------------------------------------------------------------------
#> Analysis for unfavorable environments
#> ---------------------------------------------------------------------------
#> # A tibble: 13 × 6
#> GEN Y Mean_rp Sd_rp Wi rank
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 H1 2.56 110. 12.4 102. 1
#> 2 H10 2.04 88.7 7.65 83.5 12
#> 3 H11 2.12 92.1 6.93 87.4 9
#> 4 H12 2.26 98.6 19.2 85.7 11
#> 5 H13 2.41 105. 20.8 91.2 7
#> 6 H2 2.55 110. 14.3 99.9 2
#> 7 H3 2.49 107. 17.8 94.9 6
#> 8 H4 2.45 105. 14.9 95.1 5
#> 9 H5 2.40 103. 9.32 97.0 4
#> 10 H6 2.49 107. 10.9 99.7 3
#> 11 H7 2.16 93.6 9.69 87.1 10
#> 12 H8 2.03 88.3 12.3 80.0 13
#> 13 H9 2.11 91.5 3.02 89.4 8
#>
#>
#>
# }