FL_J: Filtering Loss for a set of filtered taxa J
In PERFect: Permutation filtration for microbiome data

Description Usage Arguments Value Author(s) References See Also Examples

This function calculates filtering loss due to removing a group of J taxa.

1	FL_J(X, J)

`X`	OTU table, where taxa are columns and samples are rows of the table. It should be a in data frame format with columns corresponding to taxa names.
`J`	A vector of J taxa to be removed. It must be subset of column names of X.

FL Filtering loss value.

Ekaterina Smirnova

Smirnova, E., Huzurbazar, H., Jafari, F. “PERFect: permutation filtration of microbiome data", to be submitted.

FiltLoss

data(mock2)

# Proportion data matrix
Prop <- mock2$Prop

# Counts data matrix
Counts <- mock2$Counts

#arrange counts in order of increasing number of samples taxa are present in
NP <- NP_Order(Counts)
Counts <- Counts[,NP]

# Extract the taxa names to be removed
J <- colnames(Counts)[1:30]

#Calculate filtering loss due to removing these taxa
FL_J(Counts,J)