getConditions-method: getConditions
In ggloor/ALDEx_bioc: Analysis Of Differential Abundance Taking Sample and Scale Variation Into Account
getConditions R Documentation
getConditions
Description
Returns the conditions, for
aldex.clr object.
Usage
getConditions(.object)
Arguments
.object
A aldex.clr object containing the Monte Carlo Dirichlet instances derived from estimating the technical variance of the raw read count data, along with sample and feature information.
Details
Returns the conditions used.
Value
A matrix representing the conditions used.
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)
scale.samps <- getConditions(x)
ggloor/ALDEx_bioc documentation built on Oct. 31, 2023, 1:13 a.m.
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| getConditions | R Documentation |
getConditions
Description
Returns the conditions, for
aldex.clr object.
Usage
getConditions(.object)
Arguments
.object |
A |
Details
Returns the conditions used.
Value
A matrix representing the conditions used.
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)
scale.samps <- getConditions(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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