Return a list of p-value, confidence intervals of X-(X1+X2),etc. if p-value is small, reject H0, otherwise, not enough evidence to reject H0
1 2 3 | subclonal.test(vaf.col.name, parent.cluster, sub.clusters = NULL,
boot = NULL, cdf = NULL, min.cluster.vaf = 0, alpha = 0.05,
alternative = "greater")
|
boot: |
output of generate.boot(), if NULL, test using VAFs |
vaf.col.name: |
name of the VAF column |
parent.cluster: |
the cluster of mutations representing the parent clone |
sub.clusters: |
vector of sub clusters to test if they can be all directly arise from the parent clone; if NULL, the parent.cluster will be tested against 0 (this will help determine if this (parent)clone represents with high enough cell frac to report) |
cdf: |
Clonal data frame with VAF |
min.cluster.vaf: |
if not NULL and no bootstrap used, any cluster VAF smaller than this is considered zero |
alternative: |
alternative hypothesis c('greater', 'less') default = 'greater' ie. Ha: mean_X >= mean_X1 + mean_X2 |
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