dist.func: Calculating the distance between each row of the matrix and...
In MiRAnorm: Adaptive Normalization for miRNA Data

dist.func returns a sum total of all distances for each row of the matrix from the centroid.

1 2	dist.func(mndata, standardize = TRUE, method = "euclidean", centroid = NULL)

`mndata`	matrix dataset with numeric columns.
`standardize`	is a booleon variable to denote whether columns should first be scaled to 0-1.
`method`	dictates how distance is computed. Currently, only "euclidean" is implemented.
`centroid`	allows user to specify the centroid values for each column. Otherwise, the mean of each column is taken by default.