mbecBoxPlot: Variability boxes plotting function
In buschlab/MBECS: Evaluation and correction of batch effects in microbiome data-sets
Description
Usage
Arguments
Value
Examples
Description
Takes data.frame from mbecBox and produces a ggplot2 object.
Usage
1
mbecBoxPlot(tmp, otu.idx, model.var)
Arguments
tmp
Count of selected features.
otu.idx
Index of selected Otus in the data.
model.var
Which covariate to group Otus by.
Value
ggplot2 object
Examples
1
2
3
4
5
# This will return a list of the five most variable features grouped by the
# covariate 'batch'.
box.df <- mbecBox(input.obj=dummy.mbec, method='TOP', n=5,
model.var='batch', type="otu", return.data=TRUE)
plot.box <- mbecBoxPlot(box.df[[1]], box.df[[2]], 'batch')
buschlab/MBECS documentation built on Jan. 21, 2022, 1:27 a.m.
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Description Usage Arguments Value Examples
Description
Takes data.frame from mbecBox and produces a ggplot2 object.
Usage
1 | mbecBoxPlot(tmp, otu.idx, model.var)
|
Arguments
tmp |
Count of selected features. |
otu.idx |
Index of selected Otus in the data. |
model.var |
Which covariate to group Otus by. |
Value
ggplot2 object
Examples
1 2 3 4 5 | # This will return a list of the five most variable features grouped by the
# covariate 'batch'.
box.df <- mbecBox(input.obj=dummy.mbec, method='TOP', n=5,
model.var='batch', type="otu", return.data=TRUE)
plot.box <- mbecBoxPlot(box.df[[1]], box.df[[2]], 'batch')
|
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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