I have a dataset that contains about 2 million entries for about 500 attributes. Within R, the function NearZeroVar(iance) is used to eliminate attributes with extremely low variances. Is there a similar operator in RM to eliminate data where low variances or values of zero exist.
Thank you..
There is an operator called "Remove Useless Attributes", you can set up minimum standard deviation (square root of variance) and other parameters to do the same.