EmpiricalSE {pooledpeaks} | R Documentation |
Calculate Empirical Standard Error
Description
This function calculates the empirical standard error based on repeated sampling.
Usage
EmpiricalSE(datafile = data.frame, NLoci = 10)
Arguments
datafile |
A data frame containing genetic data from the LoadData |
NLoci |
Number of loci to sample in each iteration. |
Value
A numeric vector containing the empirical standard error estimates.
Examples
genetic_data <- data.frame(
Locus = c(1, 1, 1, 1, 1, 2, 2, 2, 2, 2),
Locus_allele = c("Marker1", "n", 1, 2, 3, "Marker2", "n", 1, 2, 3),
Sample1 = c(NA, 10, 0.5, 0.5, 0, NA, 10, 0.2, 0.3, 0.5),
Sample2 = c(NA, 20, 0.1, 0.2, 0.7, NA, 20, 0.3, 0.4, 0.3),
Sample3 = c(NA, 30, 0.3, 0.4, 0.3, NA, 30, 0.4, 0.2, 0.4)
)
EmpiricalSE(datafile=genetic_data, NLoci=3)
[Package pooledpeaks version 1.2.2 Index]