Скачать с ютуб Augmented Block Design Analysis in R Studio (agricolae & augmentedRCBD libraries в хорошем качестве

Augmented Block Design Analysis in R Studio (agricolae & augmentedRCBD libraries

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)