matrix2raw {pheno}

Converts numeric matrix to data frame

Description

Converts a numeric matrix M into a dataframe D with three columns (x, factor 1, factor 2) where rows of M are ranks of factor 1 levels and columns of M are ranks of factor 2 levels, missing values are assumed to be 0 or NA. The resulting dataframe D has no missing values.

Usage

matrix2raw(M,l1,l2)

Arguments

M

Numeric matrix, with missing values assumed to be NA or 0.

l1

Optional numeric vector of level names of column 2 (factor 1) of returned data frame. If missing it is assigned row numbers of M.

l2

Optional numeric vector of level names of column 3 (factor 2) of returned data frame. If missing it is assigned column numbers of M.

Value

D

Data frame with three columns: (y,f1,f1). y: observations, i.e. non-zero entries, in matrix. f1: factor 1, i.e. row number of M or l1. f2: factor 2, i.e. column number of M or l2. D is ordered first by factor 2 and then factor 1. D has no missing values.

Author(s)

Joerg Schaber

Examples

	data(DWD)
	M <- raw2matrix(DWD)			# conversion to matrix
	D1 <- matrix2raw(M)			# back conversion, but with different level names
	D2 <- matrix2raw(M,c(1951:1998),c(1:9))	# with original level names