Summarise information on the design parameters, and data frame structure
Usage
# S3 method for class 'FielDHub'
summary(object, ...)Author
Thiago de Paula Oliveira, thiago.paula.oliveira@alumni.usp.br
Examples
# Example 1: Generates a CRD design with 5 treatments and 5 reps each.
crd1 <- CRD(t = 5, reps = 5, plotNumber = 101,
seed = 1985, locationName = "Fargo")
crd1$infoDesign
#> $numberofTreatments
#> [1] 5
#>
#> $treatments
#> [1] "T1" "T2" "T3" "T4" "T5"
#>
#> $Reps
#> [1] 5
#>
#> $locationName
#> [1] "Fargo"
#>
#> $seed
#> [1] 1985
#>
#> $id_design
#> [1] 1
#>
summary(crd1)
#> Completely Randomized Design (CRD):
#>
#> 1. Information on the design parameters:
#> List of 6
#> $ numberofTreatments: num 5
#> $ treatments : chr [1:5] "T1" "T2" "T3" "T4" ...
#> $ Reps : num 5
#> $ locationName : chr "Fargo"
#> $ seed : num 1985
#> $ id_design : num 1
#>
#> 2. Structure of the data frame with the CRD field book:
#>
#> 'data.frame': 25 obs. of 5 variables:
#> $ ID : int 1 2 3 4 5 6 7 8 9 10 ...
#> $ LOCATION : chr "Fargo" "Fargo" "Fargo" "Fargo" ...
#> $ PLOT : int 101 102 103 104 105 106 107 108 109 110 ...
#> $ REP : Factor w/ 5 levels "1","2","3","4",..: 3 4 2 3 2 2 4 5 1 5 ...
#> $ TREATMENT: chr "T3" "T2" "T1" "T5" ...