SFpval {SigFuge} | R Documentation |
Function for computing significance of clustering
p-value. p-value is obtained from
sigclust
, a simulation based procedure for
testing significance of clustering in high dimension low
sample size (HDLSS) data.
The SigClust hypothesis test is given:
H0: data generated from single Gaussian
H1: data not generated from single Gaussian
SFpval(data, normalize = 1, flag = 1)
data |
a d x n matrix of read counts at d positions for n samples. |
normalize |
a n x 1 logical vector of flagged samples. |
flag |
a n x 1 logical vector of
samples flagged as low expression. If |
SFpval
returns an object of class
sigclust-class
. Avaliable slots are
described in detail in the sigclust
package. Primarily, we make use of @pvalnorm
.
Patrick Kimes <pkimes@live.unc.edu>
data(geneDepth) SFout <- SFpval(geneDepth, normalize = 1, flag = 1) SFout@pvalnorm