Description Usage Arguments Value See Also Examples
View source: R/transform_filter-methods.R
As opposed to topp
, which gives the
most abundant p fraction of observed taxa (richness, instead of cumulative
abundance. Said another way, topf ensures a certain
fraction of the total sequences are retained, while topp ensures
that a certain fraction of taxa/species/OTUs are retained.
1 |
f |
Single numeric value between 0 and 1. |
na.rm |
Logical. Should we remove NA values. Default |
A function (enclosure), suitable for filterfun_sample
,
that will return TRUE
for each element in the taxa comprising the most abundant f fraction of individuals.
topk
, topf
,
topp
, rm_outlierf
1 2 3 4 5 6 7 8 9 10 | t1 <- 1:10; names(t1)<-paste("t", 1:10, sep="")
topf(0.6)(t1)
## Use simulated abundance matrix
set.seed(711)
testOTU <- otu_table(matrix(sample(1:50, 25, replace=TRUE), 5, 5), taxa_are_rows=FALSE)
f1 <- filterfun_sample(topf(0.4))
(wh1 <- genefilter_sample(testOTU, f1, A=1))
wh2 <- c(TRUE, TRUE, TRUE, FALSE, FALSE)
prune_taxa(wh1, testOTU)
prune_taxa(wh2, testOTU)
|
t1 t2 t3 t4 t5 t6 t7 t8 t9 t10
FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE
sp1 sp2 sp3 sp4 sp5
FALSE FALSE TRUE TRUE FALSE
OTU Table: [2 taxa and 5 samples]
taxa are columns
sp3 sp4
sa1 13 48
sa2 31 36
sa3 44 36
sa4 42 47
sa5 48 40
OTU Table: [3 taxa and 5 samples]
taxa are columns
sp1 sp2 sp3
sa1 15 7 13
sa2 22 16 31
sa3 17 4 44
sa4 32 29 42
sa5 23 33 48
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