Lines Matching refs:amean
886 lincc = (2 * covar) / ((xvar + yvar) + ((amean(x) - amean(y))**2))
1592 means = map(amean, tmp)
2124 def amean(inarray, dimension=None, keepdims=0): function
2428 mn = amean(a, dimension, 1) # 1=keepdims
2430 return amean(s, dimension)
2441 return 100.0 * asamplestdev(a, dimension) / amean(a, dimension)
2493 m = amean(inarray, dimension)
2751 mn = amean(inarray, dimension)[:, N.NewAxis]
2753 mn = amean(inarray, dimension, keepdims=1)
2804 xmn = amean(x, dimension, 1) # keepdims
2806 ymn = amean(y, dimension, 1) # keepdims
2830 mn = amean(inarray, dimension, 1)
2899 z = (score - amean(a)) / asamplestdev(a)
2922 mns = amean(compare, dimension)
2996 mX = amean(X, 0)
3133 lincc = (2 * covar) / ((xvar + yvar) + ((amean(x) - amean(y))**2))
3146 xmean = amean(x)
3147 ymean = amean(y)
3198 xmean = amean(pstat.acolex(x, 1))
3199 ymean = amean(pstat.acolex(y, 1))
3264 xmean = amean(x)
3265 ymean = amean(y)
3300 xmean = amean(x)
3301 ymean = amean(y, 0)
3342 x = amean(a)
3380 x1 = amean(a, dimension)
3381 x2 = amean(b, dimension)
3468 x1 = amean(a, dimension)
3469 x2 = amean(b, dimension)
4086 means = map(amean, tmp)
4373 mean = Dispatch((lmean, (ListType, TupleType)), (amean, (N.ndarray,)))