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DetectOutlier  

Detect Outliers in Data Frames and Export Results
View on CRAN: Click here


Download and install DetectOutlier package within the R console
Install from CRAN:
install.packages("DetectOutlier")

Install from Github:
library("remotes")
install_github("cran/DetectOutlier")

Install by package version:
library("remotes")
install_version("DetectOutlier", "0.1.1")



Attach the package and use:
library("DetectOutlier")
Maintained by
Prakash Kumar
[Scholar Profile | Author Map]
All associated links for this package
Description:
Identifies potential outliers in numeric columns of a data frame using the interquartile range (IQR), defined as the difference between the third and first quartiles. Values below the first quartile minus 1.5 times the IQR or above the third quartile plus 1.5 times the IQR are flagged as potential outliers. The package can export rows containing outliers to comma-separated values (CSV) files and create 'Excel' workbooks with outlier values highlighted and a summary of outlier counts.
How to cite:
Prakash Kumar (). DetectOutlier: Detect Outliers in Data Frames and Export Results. R package version 0.1.1, https://cran.r-project.org/web/packages/DetectOutlier. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for DetectOutlier
Functions, R codes and Examples using the DetectOutlier R package
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