Score impact of each sample on correlation sturucture. Compute correlation using all samples (i.e. C), then compute correlation omitting sample i (i.e. Ci). The score the sample i is based on the difference between C and Ci.
delaneau.score(Y, method = c("pearson", "kendall", "spearman"))
data matrix with samples on rows and variables on columns
specify which correlation method: "pearson", "kendall" or "spearman"
score for each sample measure impact on correlation structure
# load iris data data(iris) # Evalaute score on each sample delaneau.score( iris[,1:4] )
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