View source: R/transform_filter-methods.R
rm_outlierf | R Documentation |
This is for removing overly-abundant outlier taxa, not for trimming low-abundance taxa.
rm_outlierf(f, na.rm=TRUE)
f |
Single numeric value between 0 and 1. The maximum fractional abundance value that a taxa will be allowed to have in a sample without being marked for trimming. |
na.rm |
Logical. Should we remove NA values. Default |
A function (enclosure), suitable for filterfun_sample
.
topk
, topf
,
topp
, rm_outlierf
t1 <- 1:10; names(t1)<-paste("t", 1:10, sep="") rm_outlierf(0.15)(t1) ## Use simulated abundance matrix set.seed(711) testOTU <- otu_table(matrix(sample(1:50, 25, replace=TRUE), 5, 5), taxa_are_rows=FALSE) taxa_sums(testOTU) f1 <- filterfun_sample(rm_outlierf(0.1)) (wh1 <- genefilter_sample(testOTU, f1, A=1)) wh2 <- c(TRUE, TRUE, TRUE, FALSE, FALSE) prune_taxa(wh1, testOTU) prune_taxa(wh2, testOTU)
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