preprosimplot: Plot simulation run results
In mvattulainen/preprosim: Lightweight Data Quality Simulation for Classification
Description
Usage
Arguments
Details
Examples
Description
Plot simulation run results
Usage
1
preprosimplot(object, type = "accuracy", x, z)
Arguments
object
(preprosimanalysis class object) object to be plotted
type
(character) type of plot: accuracy, varimportance, outliers or xz; defaults to accuracy
x
(character) x axis contamination
z
(character) z axis contamination plotted as panels
Details
contaminations are : noise, lowvar, misval, irfeature, classswap, classimbalance, volumedecrease, outlier
Examples
1
2
3
## res <- preprosimrun(iris)
## preprosimplot(res)
## preprosimplot(res, type="xz", x="misval", z="noise")
mvattulainen/preprosim documentation built on May 23, 2019, 10:54 a.m.
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Description Usage Arguments Details Examples
Description
Plot simulation run results
Usage
1 | preprosimplot(object, type = "accuracy", x, z)
|
Arguments
object |
(preprosimanalysis class object) object to be plotted |
type |
(character) type of plot: accuracy, varimportance, outliers or xz; defaults to accuracy |
x |
(character) x axis contamination |
z |
(character) z axis contamination plotted as panels |
Details
contaminations are : noise, lowvar, misval, irfeature, classswap, classimbalance, volumedecrease, outlier
Examples
1 2 3 | ## res <- preprosimrun(iris)
## preprosimplot(res)
## preprosimplot(res, type="xz", x="misval", z="noise")
|
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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