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 the mean squares of the residuals

information

Option to choose the return type. `matrix`, `bar` or `cluster`

method.cluster

Grouping method

Value

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

Author

Gabriel Danilo Shimizu, shimizu@uel.br

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")