getFeatureNames-method: getFeatureNames
In ggloor/ALDEx_bioc: Analysis Of Differential Abundance Taking Sample and Scale Variation Into Account
getFeatureNames R Documentation
getFeatureNames
Description
Returns the names of the features as a vector, for an aldex.clr object.
Usage
getFeatureNames(.object)
Arguments
.object
A aldex.clr object.
Details
Returns the names of the keys that can be used to
subset the data rows. The keys values are the rsid's.
Value
A vector of feature names.
See Also
aldex.clr
Examples
data(selex)
#subset for efficiency
selex <- selex[1201:1600,]
conds <- c(rep("NS", 7), rep("S", 7))
x <- aldex.clr(selex, conds, mc.samples = 2, denom="all", verbose = FALSE)
featureNames <- getFeatureNames(x)
ggloor/ALDEx_bioc documentation built on Oct. 31, 2023, 1:13 a.m.
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| getFeatureNames | R Documentation |
getFeatureNames
Description
Returns the names of the features as a vector, for an aldex.clr object.
Usage
getFeatureNames(.object)
Arguments
.object |
A |
Details
Returns the names of the keys that can be used to
subset the data rows. The keys values are the rsid's.
Value
A vector of feature names.
See Also
aldex.clr
Examples
data(selex)
#subset for efficiency
selex <- selex[1201:1600,]
conds <- c(rep("NS", 7), rep("S", 7))
x <- aldex.clr(selex, conds, mc.samples = 2, denom="all", verbose = FALSE)
featureNames <- getFeatureNames(x)
R Package Documentation
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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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