AugmentedPooledRCBD - Augmented Pooled Randomized Complete Block Design Analysis
Augmented randomized complete block designs (augmented
RCBDs) are useful for researchers to evaluate large numbers of
unreplicated test entries with limited replicated checks. This
R and 'Shiny'-based statistical package provides methods for
the analysis of augmented randomized complete block designs
(augmented RCBDs) across multiple environments. The package
performs environment-wise augmented RCBD analysis and pooled
analysis across environments, including analysis of variance
(ANOVA), testing for homogeneity of error variances across
environments, adjusted treatment means, treatment
sum-of-squares partitioning, standard error of the mean (SEM),
critical difference (CD), and treatment ranking. For pooled
analysis, environment-specific error variances are assessed for
homogeneity and used for appropriate transformation where
required, followed by a general linear model incorporating
environment, block nested within environment, treatment, and
environment x treatment interaction. This 'Shiny' interface
provides a user-friendly platform that enables researchers and
plant breeders to perform these analyses without requiring
extensive programming knowledge. For method details see,
Federer, W. T. (1961) <doi:10.2307/2527837>. It consists of the
function augmentedPooledRCBD() which launches the application
interface.
