fudge2 {siggenes}R Documentation

Fudge Factor


Computes the fudge factor as described by Tusher et al. (2001).


  fudge2(r, s, alpha = seq(0, 1, 0.05), include.zero = TRUE)


r a numeric vector. The numerator of the test statistic computed for each gene is represented by one component of this vector
s a numeric vector. Each component of this vector corresponds to the denominator of the test statistic of a gene
alpha a numeric value or vector specifying quantiles of the s values. If alpha is numeric, this quantile of s will be used as fudge factor. Otherwise, the alpha quantile of the s values is computed that is optimal following the criterion of Tusher et al. (2001)
include.zero If TRUE, s0=0 is also a possible choice for the fudge factor


s.zero the value of the fudge factor s0
alpha.hat the optimal quantile of the s values. If s0=0, alpha.hat will not be returned
vec.cv the vector of the coefficients of variations. Following Tusher et al. (2001), the optimal alpha quantile is given by the quantile that leads to the smallest CV of the modified test statistics
msg a character string summarizing the most important information about the fudge factor


SAM was developed by Tusher et al. (2001).

!!! There is a patent pending for the SAM technology at Stanford University. !!!


Holger Schwender, holger.schw@gmx.de


Tusher, V., Tibshirani, R., and Chu, G. (2001). Significance Analysis of Microarrays Applied to the Ionizing Radiation Response. PNAS, 98, 5116-5121.

See Also


[Package siggenes version 1.4.0 Index]