This function will normalize the rows of a matrix.
rowNorms(X, type =NULL, center =FALSE, scale =FALSE)
Arguments
X: Data matrix
type: a string. Type of normalization to perform. Options are hellinger, ca, z, other
center: optional. A vector to center the columns of X.
scale: optional. A vector to scale the values of X.
Details
rowNorms works like link{expo.scale}, but for rows. Hellinger row norm via hellinger, Correspondence analysis analysis row norm (row profiles) via ca, Z-score row norm via z. other passes center and scale to expo.scale and allows for optional centering and scaling parameters.