getbetap.A.2: Momoent Corrected Correlation One

Description Usage Arguments Author(s) References See Also

View source: R/getbetap.A.2.R

Description

Perform MCC_1 by successively considering each of the n samples as a potential outlier. Otherwise the syntax and output are the same as getbetap.A.

Usage

1

Arguments

x

matrix (m \times n) of predictors.

y

clinical/experimental n-vector.

z

covariate n-vector, assumed discrete with at least two observations per value of z. If z is not provided, the function assumes no covariates. Generates the first 4 moments of pearson correlation under permutation of A=∑_{k}^K ∑_i(x_{ik} y_{π[i]k}), given K covariate classes defined by z. getAkmoment provides the results for the samples in stratum k.

Author(s)

Yi-Hui Zhou: [email protected]

References

Yi-Hui Zhou, Fred Wright, 2013, Fast And Robust Association Testing For High-Throughput Testing, Submitted.

See also the vignette included with this package.

See Also

getbetap.A.


mcc documentation built on May 30, 2017, 3:29 a.m.