| clust.dist {EMA} | R Documentation |
Computes distances between the columns of an expression matrix using the specified distance measure.
clust.dist(mat, meth.dis="euclidean")
mat |
Expression matrix, genes on rows and samples on columns |
meth.dis |
Character string specifying the distance measure to be used. This must be one of 'euclidean', 'manhattan', 'pearson', 'pearsonabs', 'spearman', 'spearmanabs', 'jaccard', 'dice' |
Available distance measures are (written for two vectors x and y):
'euclidean' : Usual square distance between the two vectors.
'manhattan' : Absolute distance between the two vectors
'pearson' : Pearson correlation distance. (1 - r)/2
'pearsonabs' : Absolute Pearson correlation distance. 1 - abs(r)
'spearman' : Spearman rank correlation distance. (1 - r)/2
'spearmanabs' : Absolute Spearlan rnak correlation distance. 1 - abs(r)
'jaccard' : Jaccard distance on 0-1 matrix
'dice': Dice distance on 0-1 matrix
A distance matrix.
EMA group