Description Usage Arguments Value Author(s) References Examples

Test for equality of variance based on Ahn and Wang's (2013) score test.

1 |

`value` |
numeric. Measurements to be compared between two groups. |

`group` |
numeric. Subject's group membership. Must be binary (i.e., taking values 0 or 1). |

A list with 6 elements:

`U2` |
score statistic |

`varU2` |
estimated variance of the score statistic |

`T2` |
score statistic |

`pval` |
p-value of the score test |

`z` |
squared deviation of |

`zbar` |
sample average of |

Xuan Li <lixuan0759@mathstat.yorku.ca>, Weiliang Qiu <stwxq@channing.harvard.edu>, Yuejiao Fu <yuejiao@mathstat.yorku.ca>, Xiaogang Wang <stevenw@mathstat.yorku.ca>

Ahn S. and Wang T. (2013) A Powerful Statistical Method for Indentifying Differentially Methylated Markers in Complex Diseases. Pacific Symposium on Biocomputing. 69-79.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ```
# generate simulated data set from t distribution
set.seed(1234567)
es.sim = genSimData.tDistr(nCpGs = 100, nCases = 20, nControls = 20,
df0 = 10, ncp0 = 0, df1 = 6, ncp1 = 2.393, testPara = "var",
eps = 1.0e-3, applier = lapply)
print(es.sim)
print(exprs(es.sim)[1:2,1:3])
# do AW score test for the first probe
dat = exprs(es.sim)
pDat = pData(es.sim)
print(pDat[1:2,])
res = AWvarTest(value = dat[1,], group = pDat$memSubj)
print(names(res))
print(res)
``` |

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