covMat: Compute Sample Covariance Matrix
In scPCA: Sparse Contrastive Principal Component Analysis

covMat computes the sample covariance matrix of a data set. If a variable in the dataset has zero variance, then its corresponding row and column in the covariance matrix are zero vectors.

1	covMat(data, center = TRUE, scale = TRUE)

`data`	The data for which to compute the sample covariance matrix.
`center`	A `logical` indicating whether the target and background data sets should be centered to mean zero.
`scale`	A `logical` indicating whether the target and background data sets should be scaled to unit variance.