covDS {dsBase} | R Documentation |
This function computes the sum of each vector of variable and the sum of the products of each two variables (i.e. the scalar product of each two vectors).
covDS(x = NULL, y = NULL, use = NULL)
x |
a character, the name of a vector, matrix or dataframe of variable(s) for which the covariance(s) and the correlation(s) is (are) going to calculated for. |
y |
NULL (default) or the name of a vector, matrix or dataframe with compatible dimensions to x. |
use |
a character string giving a method for computing covariances in the presence of missing values.
This must be one of the strings "casewise.complete" or "pairwise.complete". If |
computes the sum of each vector of variable and the sum of the products of each two variables
a list tha includes a matrix with elements the sum of products between each two variables, a matrix with
elements the sum of the values of each variable, a matrix with elements the number of complete cases in each
pair of variables, a list with the number of missing values in each variable separately (columnwise) and the number
of missing values casewise or pairwise depending on the arqument use
, and an error message which indicates
whether or not the input variables pass the disclosure control (i.e. none of them is dichotomous with a level
having less counts than the pre-specified threshold). If any of the input variables does not pass the disclosure
control then all the output values are replaced with NAs
Gaye A., Avraam D., Burton P.