topVar: Selecting top weighted variables (genes) from result of MCIA...
In mengchen18/omicade4: Multiple co-inertia analysis of omics datasets
Description
Usage
Arguments
Value
Author(s)
Examples
Description
The user level function calls topVar.mcia or
topVar.cia. This function provides a method selecting
top weighted variables (genes) on an axis (either positive side or negative side or both).
Usage
1
Arguments
x
an object of class mcia or cia
axis
an interger to sepecify which axis to check
end
which end of the axis to check, could be positive,
negative or both. Any unambiguous substring can be given.
topN
An integer. The number of top weighted variable to return.
Value
Returns a data.frame contains selected variables.
Author(s)
Chen Meng
Examples
1
2
3
data(NCI60_4arrays)
mcoin <- mcia(NCI60_4arrays)
topVar(mcoin, axis = 1, end = "both", topN = 3)
mengchen18/omicade4 documentation built on Nov. 2, 2020, 10:30 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
The user level function calls topVar.mcia or
topVar.cia. This function provides a method selecting
top weighted variables (genes) on an axis (either positive side or negative side or both).
Usage
1 |
Arguments
x |
an object of class |
axis |
an interger to sepecify which axis to check |
end |
which end of the axis to check, could be |
topN |
An integer. The number of top weighted variable to return. |
Value
Returns a data.frame contains selected variables.
Author(s)
Chen Meng
Examples
1 2 3 | data(NCI60_4arrays)
mcoin <- mcia(NCI60_4arrays)
topVar(mcoin, axis = 1, end = "both", topN = 3)
|
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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