numFeatures-method: numFeatures
In ggloor/ALDEx_bioc: Analysis Of Differential Abundance Taking Sample and Scale Variation Into Account
numFeatures R Documentation
numFeatures
Description
Returns the number of non-0 features associated with the data,
for an aldex.clr object.
Usage
numFeatures(.object)
Arguments
.object
A aldex.clr object.
Details
Returns the number of features associated with the data that are
not 0 in all samples.
Value
A numeric representing the number of non-0 features associated
with the data.
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)
numFeatures <- numFeatures(x)
ggloor/ALDEx_bioc documentation built on Oct. 31, 2023, 1:13 a.m.
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| numFeatures | R Documentation |
numFeatures
Description
Returns the number of non-0 features associated with the data,
for an aldex.clr object.
Usage
numFeatures(.object)
Arguments
.object |
A |
Details
Returns the number of features associated with the data that are not 0 in all samples.
Value
A numeric representing the number of non-0 features associated with the data.
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)
numFeatures <- numFeatures(x)
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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