plot_normality_ridges: Normality density plot of each feature
In zhuchcn/Metabase: Data container, handling, and visualization for high through-put quantitative experiment data.
Description
Usage
Arguments
Value
See Also
Examples
Description
This funciton first scale each feature using the scale
function, then make a density curve of the z-score of each feature. This is usful
to check the overall normality of the dataset.
Usage
1
plot_normality_ridges(object, sort = T)
Arguments
object
A MetabolomicsSet-class object.
sort
A boolean variable indicating whether arrange the features according
to their medians.
Value
A ggplot object
See Also
Examples
1
2
3
data(lipid)
lipid = subset_features(lipid, 1:10)
plot_normality_ridges(lipid)
zhuchcn/Metabase documentation built on July 23, 2019, 1:36 p.m.
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Description Usage Arguments Value See Also Examples
Description
This funciton first scale each feature using the scale
function, then make a density curve of the z-score of each feature. This is usful
to check the overall normality of the dataset.
Usage
1 | plot_normality_ridges(object, sort = T)
|
Arguments
object |
A |
sort |
A boolean variable indicating whether arrange the features according to their medians. |
Value
A ggplot object
See Also
Examples
1 2 3 | data(lipid)
lipid = subset_features(lipid, 1:10)
plot_normality_ridges(lipid)
|
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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