cov_mx: Covariance matrix
In UBC-MDS/CorrR: A package for calculating correlation coefficients and covariance matrix

'cov_mx' function calculates the covariance matrix of the two variables and automatically deals with the missing value

cov_mx(x)

`x`	a matrix that contains one or more than one random variable

z matrix that contains the covariance between random variables in the input matrix

1	cov_mx(matrix(c(1, 2, NA, 4, 5, 6, 7, 8), 4))

UBC-MDS/CorrR documentation built on May 30, 2019, 2:04 a.m.

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