share-class {SHARE} | R Documentation |
A class to store the result of SHARE algorithm
Objects can be created by calls of the form new("share", ...)
.
uhap
:"vector"
; the
concatenated haplotype sequencesweight
:"vector"
; the weight
of each haplotypenFold
:"numeric"
; the fold
size specified while calling the cshare
function to
perform the cross-validation approachmaxSNP
:"numeric"
; the
maximum SNP size specified while calling the cshare
functionuseddeviance
:"vector"
; the
prediction deviance from cross-validation approach, or the BIC
from BIC approachbestsize
:"numeric"
; the
size of most informative SNPsfinalHap
:"data.frame"
; the
result of estimated haplotype sequences with the selected SNPsfinalHapFreq
:"vector"
; the
frequencies of the estimated haplotype sequences with the selected SNPs finalHapTest
:"data.frame"
;
the hypothesis test results of the estimated haplotype sequences
with the selected SNPs globalP
:"numeric"
; the
global p-valuesmodelmethod
:"character"
; the
mothod of model selection specified while calling the
cshare
functionhaploSeq
:"data.frame"
; the
original haplotype sequences with all SNPshaploFreq
:"vector"
; the
frequencies of the original haplotype sequences with all SNPspheno
:"data.frame"
to store
the phenotype informationinherit
:
Class "haplo"
, directly.
Class "haploSet"
, by class "haplo", distance 2.
signature(shareObj = "share")
: to create the
deviance plot to show the estimation of SNP size James Y. Dai & Ting-Yuan Liu
showClass("share") ## See vignette for more details ## Not run: dplot(unphasedKerem[["Cross-Val"]]) dplot(unphasedKerem[["BIC"]]) ## End(Not run)