Compute Means or Variances Across Imputations

DESCRIPTION:

Compute means or variances across imputations.

USAGE:

miMean(x) 
miVar(x, unbiased = T, SumSquares = F) 

REQUIRED ARGUMENTS:

x
an miVariable object or miList object whose components are atomic objects with the same length, attributes, and numerical mode.

OPTIONAL ARGUMENTS:

unbiased
if TRUE, then variances are unbiased sample variances, with divisor (number of imputations)-1; if FALSE the "-1" is omitted.
SumSquares
if TRUE, then unnormalized sums of squares are returned, with no division, and unbiased is ignored.

VALUE:

object like a single complete data object from x, but containing averages or variances across imputations.

SEE ALSO:

, , , .

EXAMPLES:

miMean(cholesterolImpExample[[3]]) 
miVar( cholesterolImpExample[[3]]) # 0 for non-missing data