detect_outliers_zscore: Detect Outliers Using Z-Score Method
In clinCompare: Dataset Comparison with 'CDISC' Validation for Clinical Trial Data
View source: R/cdisc_validate.R
detect_outliers_zscore R Documentation
Detect Outliers Using Z-Score Method
Description
Internal function to detect potential outliers in numeric columns of both
datasets using the z-score method. Values with |z| > 3 are flagged.
Results are returned as advisory notes for the user.
Usage
detect_outliers_zscore(df1, df2, threshold = 3)
Arguments
df1
First data frame (base).
df2
Second data frame (compare).
threshold
Numeric z-score threshold (default 3).
Value
A data frame with columns: dataset, variable, row, value, zscore.
Empty data frame if no outliers found.
clinCompare documentation built on Feb. 19, 2026, 1:07 a.m.
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View source: R/cdisc_validate.R
| detect_outliers_zscore | R Documentation |
Detect Outliers Using Z-Score Method
Description
Internal function to detect potential outliers in numeric columns of both datasets using the z-score method. Values with |z| > 3 are flagged. Results are returned as advisory notes for the user.
Usage
detect_outliers_zscore(df1, df2, threshold = 3)
Arguments
df1 |
First data frame (base). |
df2 |
Second data frame (compare). |
threshold |
Numeric z-score threshold (default 3). |
Value
A data frame with columns: dataset, variable, row, value, zscore. Empty data frame if no outliers found.
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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