Python sortranks Examples

Example #1

File: stats.py Project: ongkong/compbio

def corr_spearman(lst1, lst2):
    """
    Spearman's Rank Correlation Coefficient
    i.e. Pearson's Correlation Coefficient between ranked variables (in ascending order)
    """
    rank1 = util.sortranks(lst1, tied=True)
    rank2 = util.sortranks(lst2, tied=True)
    return corr(rank1, rank2)

Example #2

File: stats.py Project: aschweickart/CompBioSummer2015

def corr_spearman(lst1, lst2):
    """
    Spearman's Rank Correlation Coefficient
    i.e. Pearson's Correlation Coefficient between ranked variables (in ascending order)
    """
    rank1 = util.sortranks(lst1, tied=True)
    rank2 = util.sortranks(lst2, tied=True)
    return corr(rank1, rank2)

Example #3

File: stats.py Project: mdrasmus/spimap

def spearman(vec1, vec2):
    """Spearman's rank test"""

    assert len(vec1) == len(vec2), "vec1 and vec2 are not the same length"

    n = len(vec1)
    rank1 = util.sortranks(vec1)
    rank2 = util.sortranks(vec2)

    R = sum((vec1[i] - vec2[i])**2 for i in xrange(n))

    Z = (6 * R - n * (n * n - 1)) / (n * (n + 1) * sqrt(n - 1))

    return Z

Example #4

File: stats.py Project: jeffhsu3/argweaver

def spearman(vec1, vec2):
    """Spearman's rank test"""
    
    assert len(vec1) == len(vec2), "vec1 and vec2 are not the same length"
    
    n = len(vec1)
    rank1 = util.sortranks(vec1)
    rank2 = util.sortranks(vec2)
    
    R = sum((vec1[i] - vec2[i])**2 for i in xrange(n))
    
    Z = (6*R - n*(n*n - 1)) / (n*(n + 1) * sqrt(n - 1))
    
    return Z