R/RioChillon.R

In myaseen208/agricolae: Statistical Procedures for Agricultural Research

#' Data and analysis Mother and baby trials
#' 
#' Mother/Baby Trials allow farmers and researchers to test best-bet
#' technologies or new cultivars. Evaluation of advanced Clones of potato in
#' the Valley of Rio Chillon - PERU (2004)
#' 
#' 1. Replicated researcher-managed "mother trials" with typically 10
#' treatments evaluated in small plots.\cr 2. Unreplicated "baby trials" with
#' 10 treatments evaluated in large plots.\cr 3. The "baby trials" with a
#' subset of the treatments in the mother trial.
#' 
#' @name RioChillon
#' @docType data
#' @format The format is list of 2:\cr 1. mother: data.frame: 30 obs. of 3
#' variables:\cr - block (3 levels)\cr - clon (10 levels)\cr - yield (kg.)\cr
#' 2. babies: data.frame: 90 obs. of 3 variables:\cr - farmer (9 levels)\cr -
#' clon (10 levels)\cr - yield (kg.)
#' @references International Potato Center. CIP - Lima Peru.
#' @source Experimental field.
#' @keywords datasets
#' @examples
#' 
#' # Analisys the Mother/Baby Trial Design
#' library(agricolae)
#' data(RioChillon)
#' # First analysis the Mother Trial Design.
#' model<-aov(yield ~ block + clon, RioChillon$mother)
#' anova(model)
#' cv.model(model)
#' comparison<-with(RioChillon$mother,LSD.test(yield,clon, 18, 4.922, group=TRUE))
#' # Second analysis the babies Trial.
#' comparison<-with(RioChillon$babies,friedman(farmer,clon, yield, group=TRUE))
#' # Third
#' # The researcher makes use of data from both mother and baby trials and thereby obtains
#' # information on suitability of new technologies or cultivars
#' # for different agro-ecologies and acceptability to farmers.
#'  
#' 
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