function dnanmeanors( N, x, strideX, offsetX ) {
	var ix;
	var v;
	var s;
	var n;
	var i;

	if ( N <= 0 ) {
		return NaN;
	}
	if ( N === 1 || strideX === 0 ) {
		return x[ offsetX ];
	}
	ix = offsetX;
	s = 0.0;
	n = 0;
	for ( i = 0; i < N; i++ ) {
		v = x[ ix ];
		if ( v === v ) {
			s += v;
			n += 1;
		}
		ix += strideX;
	}
	return s / n;
}
Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation.

@param {PositiveInteger} N - number of indexed elements
@param {Float64Array} x - input array
@param {integer} strideX - stride length
@param {NonNegativeInteger} offsetX - starting index
@returns {number} arithmetic mean

@example
var Float64Array = require( '@stdlib/array/float64' );

var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );

var v = dnanmeanors( 5, x, 2, 1 );
// returns 1.25