mbecMosaicPlot: Mosaic 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 mbecMosaic and produces a ggplot2 object.
Usage
1
mbecMosaicPlot(study.summary, model.vars)
Arguments
study.summary
'mbecMosaic' output object.
model.vars
two covariates of interest to select by first variable
selects panels and second one determines coloring.
Value
ggplot2 object
Examples
1
2
3
4
5
6
# This will return a paneled plot that shows results for the variance
# assessment.
mosaic.df <- mbecMosaic(input.obj=dummy.mbec, model.vars=c('group','batch'),
return.data=TRUE)
plot.mosaic <- mbecMosaicPlot(study.summary=mosaic.df,
model.vars=c('group','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 mbecMosaic and produces a ggplot2 object.
Usage
1 | mbecMosaicPlot(study.summary, model.vars)
|
Arguments
study.summary |
'mbecMosaic' output object. |
model.vars |
two covariates of interest to select by first variable selects panels and second one determines coloring. |
Value
ggplot2 object
Examples
1 2 3 4 5 6 | # This will return a paneled plot that shows results for the variance
# assessment.
mosaic.df <- mbecMosaic(input.obj=dummy.mbec, model.vars=c('group','batch'),
return.data=TRUE)
plot.mosaic <- mbecMosaicPlot(study.summary=mosaic.df,
model.vars=c('group','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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