Description Usage Arguments Value
View source: R/distcov_function.R
Calculate the distance covariance
1 2 3 |
X |
contains either the first sample or its corresponding distance matrix. In the first case, this input can be either a vector of positive length, a matrix with one column or a data.frame with one column. In this case, type.X must be specified as "sample". In the second case, the input must be a distance matrix corresponding to the sample of interest. In this second case, type.X must be "distance". |
Y |
see X. |
affine |
logical; indicates if the affinely transformed distance covariance should be calculated or not. |
bias.corr |
logical; indicates if the bias corrected version of the sample distance covariance should be calculated. |
type.X |
either "sample" or "distance"; specifies the type of input for X. |
type.Y |
see type.X. |
metr.X |
specifies the metric which should be used for X to analyse the distance covariance. TO DO: Provide details for this. |
metr.Y |
see metr.X. |
use |
: "all" uses all observations, "complete.obs" excludes NA's |
numeric giving the distance covariance between samples X and Y.
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