Calculates correlation coefficient between two variables and returns a list containing the correlation estimate, its standard error, the p-value of a null-hypothesis significance test, and the number of observations used.

## Arguments

- x
a numeric vector.

- y
a numeric vector.

- ...
arguments passed to

`cor.test()`

.

## Value

Returns a list with elements containing the correlation coefficient estimate, its associated standard error, the p-value of a null-hypothesis significance test, and the number of observations used, all as numeric vectors of length 1.

## Details

Additional arguments to alter the type of null hypothesis significance test, the method used to
calculate the correlation coefficient, the confidence level, or other options should be passed to
`correlate`

() and will be inherited by `cor.test()`

. Note that unlike
`cor.test()`

, both arguments `x`

and `y`

are required.