jointcluster function

Analysis: Method to evaluate similarity of experiments based on QMres

This function presents a method to evaluate similarity of experiments based on a matrix of QMres of all against all. This is used as a measure of similarity and applied in clustering.

jointcluster(qmres, information = "matrix", method.cluster = "ward.D")

Arguments

• qmres: Vector containing mean squares of residuals or output from list DIC or DBC function
• information: Option to choose the return type. matrix, bar or cluster
• method.cluster: Grouping method

Returns

Returns a residual mean square ratio matrix, bar graph with ratios sorted in ascending order, or cluster analysis.

Examples

qmres=c(0.344429, 0.300542, 0.124833, 0.04531, 0.039571, 0.011812, 0.00519)
jointcluster(qmres,information = "cluster")
jointcluster(qmres,information = "matrix")
jointcluster(qmres,information = "bar")

data(mirtilo)
m=lapply(unique(mirtilo$exp),function(x){
  m=with(mirtilo[mirtilo$exp==x,],DBC(trat,bloco,resp))})
jointcluster(m)

Author(s)

Gabriel Danilo Shimizu, gabrield.shimizu@gmail.com