ClusterFromSamples {pooledpeaks} | R Documentation |
Cluster From Samples
Description
Perform clustering on samples of loci from a data frame and calculate statistics.
Usage
ClusterFromSamples(datafile = data.frame, numloci = 5, reps = 100)
Arguments
datafile |
A data frame containing the input data must be in LoadData style LoadData. |
numloci |
An integer specifying the number of loci to sample. |
reps |
An integer specifying the number of repetitions. |
Value
A matrix containing statistics calculated from the clustering results.
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)
)
ClusterFromSamples(datafile=genetic_data, numloci=5, reps=10)
[Package pooledpeaks version 1.2.2 Index]