ourMELONS/R/greedyMix.R

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#' @title Clustering of individuals
#' @param data data file
#' @param format Data format. Format supported: "FASTA", "VCF" ,"BAM", "GenePop"
#' @param verbose if \code{TRUE}, prints extra output information
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#' @importFrom utils read.delim
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#' @importFrom vcfR read.vcfR
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#' @importFrom Rsamtools scanBam
#' @importFrom adegenet read.genepop .readExt
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#' @references Samtools: a suite of programs for interacting
#' with high-throughput sequencing data. <http://www.htslib.org/>
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#' @export
#' @examples
#' data <- system.file("extdata", "FASTA_clustering_haploid.fasta", package = "rBAPS")
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#' greedyMix(data, "fasta")
greedyMix <- function(
data, format, partitionCompare, ninds, rowsFromInd, noalle,
adjprior, priorTerm, alleleCodesinp, popnames, fixedK = FALSE,
partition_compare = FALSE, verbose = TRUE
) {
# Importing and handling data ================================================
data <- importFile(data, format, verbose)
if (partition_compare) {
logmls <- comparePartitions(
data, nrows(data), partitionCompare[["partitions"]], ninds, rowsFromInd,
noalle, adjprior
)
}
# Generating partition summary ===============================================
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logml_npops_partitionSummary <- indMixWrapper(data, npops, fixedK);
logml <- logml_npops_partitionSummary[["logml"]]
npops <- logml_npops_partitionSummary[["npops"]]
partitionSummary <- logml_npops_partitionSummary[["partitionSummary"]]
stopifnot(logml != 1)
# Writing mixture info =======================================================
changesInLogml <- writeMixtureInfo(
logml, rowsFromInd, data, adjprior, priorTerm, NULL, inp, partitionSummary,
popnames, fixedK
)
# Returning results ==========================================================
return(
list(
"alleleCodes" = alleleCodes, "adjprior" = adjprior, "popnames" = popnames,
"rowsFromInd" = rowsFromInd, "data" = data, "npops" = npops,
"noalle" = noalle, "mixtureType" = "mix", "logml" = logml,
"changesInLogml" = changesInLogml
)
)
}