Prints information about single_trial_analysis function.
Usage
# S3 method for smaAgri
print(x, ...)Arguments
- x
An object fitted with the function
single_trial_analysis().- ...
Options used by the tibble package to format the output. See `tibble::print()` for more details.
Examples
# \donttest{
library(agridat)
library(agriutilities)
data(besag.met)
dat <- besag.met
results <- check_design_met(
data = dat,
genotype = "gen",
trial = "county",
traits = c("yield"),
rep = "rep",
block = "block",
col = "col",
row = "row"
)
out <- single_trial_analysis(results, progress = FALSE)
print(out)
#> ---------------------------------------------------------------------
#> Summary Fitted Models:
#> ---------------------------------------------------------------------
#> trait trial heritability CV VarGen VarErr design
#> <char> <char> <num> <num> <num> <num> <char>
#> 1: yield C1 0.73 6.022489 87.39848 82.86095 row_col
#> 2: yield C2 0.37 17.104998 25.80684 108.68546 row_col
#> 3: yield C3 0.64 12.357202 83.57907 118.55567 row_col
#> 4: yield C4 0.41 8.179408 35.75568 136.21218 row_col
#> 5: yield C5 0.80 7.037586 103.79822 66.97523 row_col
#> 6: yield C6 0.49 16.632367 71.92232 207.53073 row_col
#>
#> ---------------------------------------------------------------------
#> Outliers Removed:
#> ---------------------------------------------------------------------
#> trait trial genotype id outlier
#> <char> <fctr> <fctr> <int> <lgcl>
#> 1: yield C1 G60 50 TRUE
#>
#> ---------------------------------------------------------------------
#> First Predicted Values and Standard Errors (BLUEs/BLUPs):
#> ---------------------------------------------------------------------
#> trait genotype trial BLUEs seBLUEs BLUPs seBLUPs wt
#> <char> <fctr> <fctr> <num> <num> <num> <num> <num>
#> 1: yield G01 C1 141.4161 6.078858 143.5308 5.249771 0.02706176
#> 2: yield G02 C1 157.8110 5.979708 155.8037 5.194547 0.02796663
#> 3: yield G03 C1 127.3836 6.091534 133.0256 5.269999 0.02694925
#> 4: yield G04 C1 154.8445 6.093866 153.8364 5.270427 0.02692863
#> 5: yield G05 C1 163.8950 6.132141 161.1831 5.271809 0.02659352
#> 6: yield G06 C1 128.5168 6.087902 133.6857 5.247130 0.02698141
#>
# }