run.pa.imbalanced.power.make.plot: binary trait imbalanced design power analysis plot
In MRCIEU/metaboprep: Metabolomics data preparation and processing pipeline
View source: R/run.pa.imbalanced.power.make.plot.R
run.pa.imbalanced.power.make.plot R Documentation
binary trait imbalanced design power analysis plot
Description
This function (1) estimates an informative distribution of effect and power estimates given your datas total sample size, over a distribution of imbalanced sample sizes and (2) returns a summary plot.
Usage
run.pa.imbalanced.power.make.plot(mydata)
Arguments
mydata
a numeric data matrix with samples in rows and features in columns
Value
a ggplot2 object
Examples
ex_data = matrix(NA, 1000, 2)
run.pa.imbalanced.power.make.plot( ex_data )
MRCIEU/metaboprep documentation built on Jan. 28, 2023, 7:29 p.m.
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View source: R/run.pa.imbalanced.power.make.plot.R
| run.pa.imbalanced.power.make.plot | R Documentation |
binary trait imbalanced design power analysis plot
Description
This function (1) estimates an informative distribution of effect and power estimates given your datas total sample size, over a distribution of imbalanced sample sizes and (2) returns a summary plot.
Usage
run.pa.imbalanced.power.make.plot(mydata)
Arguments
mydata |
a numeric data matrix with samples in rows and features in columns |
Value
a ggplot2 object
Examples
ex_data = matrix(NA, 1000, 2) run.pa.imbalanced.power.make.plot( ex_data )
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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