stats: use c style for loop
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					@ -118,13 +118,11 @@ pub fn mode(arr []f64) f64 {
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	for v in arr {
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						for v in arr {
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		freqs<<freq(arr,v)
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							freqs<<freq(arr,v)
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	}
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						}
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	mut i := 0
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	mut max := 0
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						mut max := 0
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	for i < freqs.len {
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						for i := 0; i < freqs.len; i++ {
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		if freqs[i] > freqs[max] {
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							if freqs[i] > freqs[max] {
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			max = i
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								max = i
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		}
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							}
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		i++
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	}
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						}
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	return arr[max]
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						return arr[max]
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}
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					}
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					@ -35,7 +35,6 @@ fn test_geometric_mean() {
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	assert o.str().eq('5.159932')
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						assert o.str().eq('5.159932')
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	data = [f64(-3.0),f64(67.31),f64(4.4),f64(1.89)]
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						data = [f64(-3.0),f64(67.31),f64(4.4),f64(1.89)]
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	o = stats.geometric_mean(data)
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						o = stats.geometric_mean(data)
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	println(o)
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	// Some issue with precision comparison in f64 using == operator hence serializing to string
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						// Some issue with precision comparison in f64 using == operator hence serializing to string
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	assert o.str().eq('nan') || o.str().eq('-nan') || o.str().eq('-1.#IND00') || o == f64(0) || o.str().eq('-nan(ind)') // Because in math it yields a complex number
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						assert o.str().eq('nan') || o.str().eq('-nan') || o.str().eq('-1.#IND00') || o == f64(0) || o.str().eq('-nan(ind)') // Because in math it yields a complex number
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	data = [f64(12.0),f64(7.88),f64(76.122),f64(54.83)]
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						data = [f64(12.0),f64(7.88),f64(76.122),f64(54.83)]
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