An Augmented Block Design is an essentially Incomplete Block Design
in which a portion of the treatments (called check treatments)
are arranged as in a standard block design (e.g. RCBD or BIBD)
and to those blocks, the remaining treatments having less number
of replications (called test treatments) are added.
This design proves useful for screening various treatments
like genotypes, insecticides, or herbicides, especially
when resources limit the number of replications for new treatments.
It is particularly recommended for situations where a large
number of new treatments require evaluation, but only limited
replications are feasible, allowing for efficient preliminary
screening and comparison of worthiness between test and check
treatments.
R Codes
library(augmentedRCBD)
library(agricolae)
names(AUG)
AUG$blk= as.factor(AUG$blk)
AUG$trt = as.factor(AUG$trt)
fit=DAU.test(AUG$blk,AUG$trt,AUG$DTF,method = "lsd",console = TRUE)
Results for variable y1
fit =augmentedRCBD(AUG$blk, AUG$trt, AUG$DTF, method.comp = "lsd",
alpha = 0.05, group = FALSE, console = TRUE)
gva.augmentedRCBD(fit)
Негізгі бет Augmented Block Design Analysis in R Studio (agricolae & augmentedRCBD libraries
Пікірлер: 3