outlier.analysis: Function outlier.anaysis
In AndreasFischer1985/qqBaseX: Basic functions for analyzing qualitative and quantitative data based on R's default packages.
outlier.analysis R Documentation
Function outlier.anaysis
Description
Determines outliers based on boxplots mahalanobis distance.
Usage
outlier.analysis(df = NULL, cutoff = NULL, plot = T,
col = rgb(106/255, 160/255, 186/255), varwidth = T, outline = T,
main = "Outlier Analysis", cex = 0.8, ...)
Arguments
df
A data.frame containing numeric vectors.
Details
Determines outliers based on boxplots and mahalanobis distance. Returns boxplots with additional attribute "mahalanobis"
Examples
outlier.analysis(data.frame(c(1,2,100)))
AndreasFischer1985/qqBaseX documentation built on Aug. 28, 2022, 11:30 a.m.
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| outlier.analysis | R Documentation |
Function outlier.anaysis
Description
Determines outliers based on boxplots mahalanobis distance.
Usage
outlier.analysis(df = NULL, cutoff = NULL, plot = T, col = rgb(106/255, 160/255, 186/255), varwidth = T, outline = T, main = "Outlier Analysis", cex = 0.8, ...)
Arguments
df |
A data.frame containing numeric vectors. |
Details
Determines outliers based on boxplots and mahalanobis distance. Returns boxplots with additional attribute "mahalanobis"
Examples
outlier.analysis(data.frame(c(1,2,100)))
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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