function sdsnanmeanors( N, x, stride ) {
	var sum;
	var ix;
	var v;
	var n;
	var i;

	if ( N <= 0 ) {
		return NaN;
	}
	if ( N === 1 || stride === 0 ) {
		return x[ 0 ];
	}
	if ( stride < 0 ) {
		ix = (1-N) * stride;
	} else {
		ix = 0;
	}
	sum = 0.0;
	n = 0;
	for ( i = 0; i < N; i++ ) {
		v = x[ ix ];
		if ( v === v ) {
			sum += v;
			n += 1;
		}
		ix += stride;
	}
	if ( n === 0 ) {
		return NaN;
	}
	return float64ToFloat32( sum / n );
}
Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation.

@param {PositiveInteger} N - number of indexed elements
@param {Float32Array} x - input array
@param {integer} stride - stride length
@returns {number} arithmetic mean

@example
var Float32Array = require( '@stdlib/array/float32' );

var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
var N = x.length;

var v = sdsnanmeanors( N, x, 1 );
// returns ~0.3333