Description Usage Arguments Value
View source: R/aiding_functions.R
calc_qall ***********************************************************
1 2 3 | calc_qall(Pvalue_threshold, fracInvalid_threshold, fracNA_threshold, Pvalue,
fracInvalid, F1.NAfrac, matchParents, bestfit, bestParentfit, par.conflicts,
par.NAfrac, critweight, parentsScoredWithF1)
|
Pvalue_threshold |
Threshold can be disabled by setting to 0 |
fracInvalid_threshold |
Threshold can be disabled by setting to 1 |
fracNA_threshold |
Threshold can be disabled by setting to 1 |
Pvalue |
P-value of bestParentfit segtype |
fracInvalid |
Fraction invalid scores of the bestParentfit segtype |
F1.NAfrac |
fraction missing scores among F1 samples |
matchParents |
Should parents match F1? One of the following: "No", "Unknown", "OneOK" or "Yes" |
bestfit |
segtype of best fit of population |
bestParentfit |
segtype of best fit of parents |
par.conflicts |
Logical vector: is there a conflict for P1, P2 |
par.NAfrac |
number of NA scores for the samples of P1, P2 |
critweight |
numeric vector of length 3 (3 quality criteria) with their weights, or NA (in that case qall = q1*q2*q3, not a weighted average) |
parentsScoredWithF1 |
Were parents scored with F1? |
vector of length 4 or 5. The last (two) components of the vector are qall_mult (obtained by multiplication of q1..q3), and if critweights is supplied, qall_weights (a weighted average of q1..q3)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.