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+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/MixMC.R
+\name{low.count.removal}
+\alias{low.count.removal}
+\title{Remove features with low counts across samples}
+\usage{
+low.count.removal(otu.counts, percent = 0.01)
+}
+\arguments{
+\item{otu.counts}{OTU count data frame of size n (sample) x p (OTU).}
+
+\item{percent}{Cutoff chosen in percent, default to 0.01.}
+}
+\value{
+Data frame of input data, filtered to omit features below the count
+proportion threshold.
+}
+\description{
+Prefilter omics analysis input data in count form (e.g. OTUs) to remove
+features which have a total count less than a (small) proportion of the total
+measured counts. The default threshold is one part in 10,000 (0.01\%) - this
+is usually sufficient to remove very low-count variables, which will be
+unreliable features for model prediction.
+}
+\examples{
+\dontrun{
+low.count.filter(raw.count)
+}
+}