clean_analytes: clean_analytes
In gongcongcong/mbOmic: Integrative analysis of the microbiome and metabolome
View source: R/method-preprocess.R
clean_analytes R Documentation
clean_analytes
Description
Remove unqualified metabolites and OTU which only
measured in few samples.
Usage
clean_analytes(object, fea_num = 2)
Arguments
object
a 'bSet' or 'mSet' class
fea_num,
integer, Removal of features only measured in 'fea_num' of samples
Value
return a quantified 'bSet' or 'mSet' object
Examples
library(data.table)
path <- system.file('extdata', 'metabolites_and_genera.rda', package = 'mbOmic')
load(path)
names(genera)[1] <- 'rn'
names(metabolites)[1] <- 'rn'
b <- bSet(b = genera)
m <- mSet(m = metabolites)
clean_analytes(b)
gongcongcong/mbOmic documentation built on May 4, 2022, 12:48 a.m.
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View source: R/method-preprocess.R
| clean_analytes | R Documentation |
clean_analytes
Description
Remove unqualified metabolites and OTU which only measured in few samples.
Usage
clean_analytes(object, fea_num = 2)
Arguments
object |
a 'bSet' or 'mSet' class |
fea_num, |
integer, Removal of features only measured in 'fea_num' of samples |
Value
return a quantified 'bSet' or 'mSet' object
Examples
library(data.table)
path <- system.file('extdata', 'metabolites_and_genera.rda', package = 'mbOmic')
load(path)
names(genera)[1] <- 'rn'
names(metabolites)[1] <- 'rn'
b <- bSet(b = genera)
m <- mSet(m = metabolites)
clean_analytes(b)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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