Computes the sum of each variable and the sum of products for each pair of variables

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).

corDS(x = NULL, y = NULL)

Arguments

x

a character, the name of a vector, matrix or dataframe of variables(s) for which 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.

Value

a list that 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, and a vector with elements the sum of squares of each variable. The first disclosure control checks that the number of variables is not bigger than a percentage of the individual-level records (the allowed percentage is pre-specified by the 'nfilter.glm'). The second disclosure control checks that none of them is dichotomous with a level having fewer counts than the pre-specified 'nfilter.tab' threshold.

Details

computes the sum of each vector of variable and the sum of the products of each two variables

Author

Paul Burton, and Demetris Avraam for DataSHIELD Development Team