bootStrapPeaks {shinyWGD} | R Documentation |
Bootstrap Peaks in the Ks Distribution
Description
This function performs bootstrapping on a given Ks (synonymous substitution rates) distribution to estimate peaks within the distribution.
Usage
bootStrapPeaks(
ksRaw,
binWidth = 0.1,
maxK = 5,
m = 3,
peak.index = 1,
peak.maxK = 2,
spar = 0.25,
rep = 1000,
from = 0,
to = maxK
)
Arguments
ksRaw |
A numeric vector representing the raw Ks distribution to be bootstrapped. |
binWidth |
A numeric value indicating the bin width for histogram calculation. |
maxK |
A numeric value indicating the maximum Ks value to consider in the distribution. |
m |
An integer specifying the parameter for peak detection. |
peak.index |
An integer indicating the index of the peak to be estimated. |
peak.maxK |
A numeric value indicating the maximum Ks value for peak estimation. |
spar |
A numeric value controlling the smoothness of spline fitting. |
rep |
An integer specifying the number of bootstrap repetitions. |
from |
A numeric value indicating the lower bound for peak estimation. |
to |
A numeric value indicating the upper bound for peak estimation. |
Value
A numeric vector containing bootstrapped peak estimates.