DetectOutlier: Detect Outliers in Data Frames and Export Results
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.
| Version: |
0.1.1 |
| Depends: |
R (≥ 4.0) |
| Imports: |
openxlsx |
| Published: |
2026-10-21 |
| DOI: |
10.32614/CRAN.package.DetectOutlier (may not be active yet) |
| Author: |
Prakash Kumar [aut, cre],
Himadri Sekhar Roy [aut],
Ranjit Kumar Paul [aut],
Md. Yeasin [aut],
Paritosh Kumar ICAR-NIASM [aut],
Amrit Kumar Paul [aut] |
| Maintainer: |
Prakash Kumar <prakash289111 at gmail.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
DetectOutlier results |
Documentation:
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