Print the Schmildt
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 'Schmildt'
print(x, export = FALSE, file.name = NULL, digits = 3, ...)
Arguments
- x
The
Schmildt
x- 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::formatting()
for more details.
Author
Tiago Olivoto tiagoolivoto@gmail.com
Examples
# \donttest{
library(metan)
Sch <- Schmildt(data_ge2,
env = ENV,
gen = GEN,
rep = REP,
resp = PH)
#> Evaluating trait PH |============================================| 100% 00:00:00
print(Sch)
#> 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 Mean Mean_rp Sem_rp Wi rank
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 H1 2.62 106. 4.69 97.9 2
#> 2 H10 2.31 93.0 3.47 87.3 12
#> 3 H11 2.39 96.1 3.14 90.9 9
#> 4 H12 2.44 98.6 5.61 89.3 10
#> 5 H13 2.54 103. 6.19 92.6 7
#> 6 H2 2.60 105. 4.96 96.7 3
#> 7 H3 2.59 104. 5.58 95.0 6
#> 8 H4 2.58 104. 4.38 96.4 5
#> 9 H5 2.57 103. 2.77 98.6 1
#> 10 H6 2.56 103. 3.92 96.5 4
#> 11 H7 2.40 96.8 3.34 91.3 8
#> 12 H8 2.33 93.6 4.81 85.7 13
#> 13 H9 2.36 94.8 3.42 89.2 11
#> ---------------------------------------------------------------------------
#> Analysis for favorable environments
#> ---------------------------------------------------------------------------
#> # A tibble: 13 × 6
#> GEN Y Mean_rp Sem_rp Wi rank
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 H1 2.68 101. 3.60 95.2 9
#> 2 H10 2.59 97.3 2.39 93.3 12
#> 3 H11 2.66 100. 1.70 97.3 7
#> 4 H12 2.61 98.5 2.12 95.0 10
#> 5 H13 2.66 100. 1.15 98.5 6
#> 6 H2 2.66 100. 0.144 99.9 3
#> 7 H3 2.70 101. 3.69 95.3 8
#> 8 H4 2.71 102. 0.593 101. 1
#> 9 H5 2.74 103. 1.64 100. 2
#> 10 H6 2.63 98.9 0.206 98.6 5
#> 11 H7 2.65 99.9 0.574 98.9 4
#> 12 H8 2.62 98.9 2.55 94.7 11
#> 13 H9 2.62 98.1 6.60 87.3 13
#> ---------------------------------------------------------------------------
#> Analysis for unfavorable environments
#> ---------------------------------------------------------------------------
#> # A tibble: 13 × 6
#> GEN Y Mean_rp Sem_rp Wi rank
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 H1 2.56 110. 8.80 95.7 1
#> 2 H10 2.04 88.7 5.41 79.8 11
#> 3 H11 2.12 92.1 4.90 84.0 8
#> 4 H12 2.26 98.6 13.6 76.3 12
#> 5 H13 2.41 105. 14.7 81.0 10
#> 6 H2 2.55 110. 10.1 92.9 3
#> 7 H3 2.49 107. 12.6 86.2 7
#> 8 H4 2.45 105. 10.5 87.8 6
#> 9 H5 2.40 103. 6.59 92.4 4
#> 10 H6 2.49 107. 7.67 94.4 2
#> 11 H7 2.16 93.6 6.85 82.4 9
#> 12 H8 2.03 88.3 8.67 74.0 13
#> 13 H9 2.11 91.5 2.13 88.0 5
#>
#>
#>
# }