completeMKT: Complete MK methodologies
In sergihervas/iMKT: Integrative McDonald and Kreitman Test
Description
Usage
Arguments
Details
Value
Examples
Description
MKT calculation using all methodologies included in the package: standardMKT, FWW, DGRP, asymptoticMKT, iMKT.
Usage
1
completeMKT(daf, divergence, xlow, xhigh, seed)
Arguments
daf
data frame containing DAF, Pi and P0 values
divergence
data frame containing divergent and analyzed sites for selected (i) and neutral (0) classes
xlow
lower limit for asymptotic alpha fit
xhigh
higher limit for asymptotic alpha fit
seed
seed value (optional). No seed by default
Details
Perform all MKT derived methodologies at once using the same input data and parameters.
Value
List with the diverse MKT results: standardMKT, FWW, DGRP, asymptoticMKT, iMKT
Examples
1
completeMKT(myDafData, myDivergenceData, xlow=0, xhigh=0.9)
sergihervas/iMKT documentation built on May 3, 2019, 1:49 p.m.
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Description Usage Arguments Details Value Examples
Description
MKT calculation using all methodologies included in the package: standardMKT, FWW, DGRP, asymptoticMKT, iMKT.
Usage
1 | completeMKT(daf, divergence, xlow, xhigh, seed)
|
Arguments
daf |
data frame containing DAF, Pi and P0 values |
divergence |
data frame containing divergent and analyzed sites for selected (i) and neutral (0) classes |
xlow |
lower limit for asymptotic alpha fit |
xhigh |
higher limit for asymptotic alpha fit |
seed |
seed value (optional). No seed by default |
Details
Perform all MKT derived methodologies at once using the same input data and parameters.
Value
List with the diverse MKT results: standardMKT, FWW, DGRP, asymptoticMKT, iMKT
Examples
1 | completeMKT(myDafData, myDivergenceData, xlow=0, xhigh=0.9)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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