features list. The names of `feature1` and `feature2`.
types list. The type of `feature1` and `feature2`. Will be "C" for categorical and
"N" for numeric.
values data.frame. The values of the feature associations and the relative frequency
of the data points in the sample.
Arguments
project
character. Either (1) a character string giving the unique alphanumeric
identifier for the project, or (2) a list containing the element projectId with this
identifier.
feature1
character. The name of the first feature of interest.
feature2
character. The name of the second feature of interest.