detect_outliers: Check for outliers using weights from Tukey's Biweight mean
In hemoshear/assayr2: Tools for analyzing assay data
Description
Usage
Arguments
Value
Description
Check for outliers using weights from Tukey's Biweight mean
Usage
1
detect_outliers(robust_fit, threshold = 0.1)
Arguments
robust_fit
A model object of class "drc" that has been processed for
robust estimation.
threshold
A numeric vector of length 1 indicating the maximum weight
that a sample is labeled as an outlier
Value
boolean TRUE if outliers are present
hemoshear/assayr2 documentation built on Nov. 8, 2019, 6:13 p.m.
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Description Usage Arguments Value
Description
Check for outliers using weights from Tukey's Biweight mean
Usage
1 | detect_outliers(robust_fit, threshold = 0.1)
|
Arguments
robust_fit |
A model object of class "drc" that has been processed for robust estimation. |
threshold |
A numeric vector of length 1 indicating the maximum weight that a sample is labeled as an outlier |
Value
boolean TRUE if outliers are present
R Package Documentation
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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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