greybox (version 2.0.2)

mcor: Multiple correlation

Description

Function calculates multiple correlation between y and x, constructing a linear regression model

Usage

mcor(x, y, use = c("na.or.complete", "complete.obs", "everything",
  "all.obs"))

Value

The following list of values is returned:

• value - The value of the coefficient;

• statistic - The value of F-statistics associated with the parameter;

• p.value - The p-value of F-statistics associated with the parameter;

• df.residual - The number of degrees of freedom for the residuals;

• df - The number of degrees of freedom for the data.

Arguments

x

Either data.frame or a matrix

y

The numerical variable.

use

What observations to use. See cor function for details. The only option that is not available here is "pairwise.complete.obs".

Author

Ivan Svetunkov,

Details

This is based on the linear regression model with the set of variables in x. The returned value is just a coefficient of multiple correlation from regression, the F-statistics of the model (thus testing the null hypothesis that all the parameters are equal to zero), the associated p-value and the degrees of freedom.

See details in the vignette "Marketing analytics with greybox": vignette("maUsingGreybox","greybox")

See Also

table, tableplot, spread, cramer, association

Examples

mcor(mtcars$am, mtcars$mpg)