Description Usage Arguments Value Methods (by generic) Slots Examples
Container with the results of the classification pipeline
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26  | ## S4 method for signature 'scoreInvHapRes'
classification(object, minDiff = 0, callRate = 0, inversion = TRUE)
## S4 method for signature 'scoreInvHapRes'
certainty(object)
## S4 method for signature 'scoreInvHapRes'
diffscores(object)
## S4 method for signature 'scoreInvHapRes'
maxscores(object)
## S4 method for signature 'scoreInvHapRes'
numSNPs(object)
## S4 method for signature 'scoreInvHapRes'
plotCallRate(object, callRate = 0.9, ...)
## S4 method for signature 'scoreInvHapRes'
plotScores(object, minDiff = 0.1, ...)
## S4 method for signature 'scoreInvHapRes'
propSNPs(object)
## S4 method for signature 'scoreInvHapRes'
scores(object)
 | 
object | 
 
  | 
minDiff | 
 Numeric with the threshold of the minimum difference between the top and the second score. Used to filter samples.  | 
callRate | 
 Numeric with the threshold of the minimum call rate of the samples. Used to filter samples.  | 
inversion | 
 Logical. If true, haplotypes classification is adapted to return inversion status. (Default: TRUE)  | 
... | 
 Further parameters passed to plot function.  | 
A scoreInvHapRes instance
classification: Get classification
certainty: Get classification certainty
diffscores: Get maximum similarity scores
maxscores: Get maximum similarity scores
numSNPs: Get number of SNPs used in computation
plotCallRate: Plot call rate based QC
plotScores: Plot scores based QC
propSNPs: Get proportions of SNPs used in computation
scores: Get similarity scores
classificationFactor with the individuals classification
scoresSimmilarity scores for the different haplotypes.
numSNPsNumeric with SNPs used to compute the scores.
certaintyNumeric with the certainty of the classification for each individual.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15  | if(require(VariantAnnotation)){
    vcf <- readVcf(system.file("extdata", "example.vcf", package = "scoreInvHap"), "hg19")
    ## Create scoreInvHapRes class from pipeline
    res <- scoreInvHap(vcf, inv = "inv7_005")
    ## Print object
    res
    ## Get haplotype classification
    classification(res)
    ## Get similiraty scores
    scores(res)
}
 | 
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