msOutlierUni-MSdata-method: Detect Univariate Outliers
In flajole/MSdata: Mass-spectrometry data analysis package
Description
Usage
Arguments
See Also
Description
The function detects univariate outliers among peak intensity values
within each replication group. Outlying values are replaced with NAs.
Usage
1
2
## S4 method for signature 'MSdata'
msOutlierUni(msdata, method = "both")
Arguments
msdata
MSdata-class object
method
Method of outlier detection, one of:
"tukey" - Tukey's biweight.
"box" - boxplot statistic; values higher than
(75
are considered as outliers. If the number of values is less than 6,
only the most outlying one will be removed.
"both" - only values detected by both algorithms are marked as outliers.
See Also
msOutlierMulti, msOutlierPeakCV
flajole/MSdata documentation built on May 16, 2019, 1:17 p.m.
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Description Usage Arguments See Also
Description
The function detects univariate outliers among peak intensity values within each replication group. Outlying values are replaced with NAs.
Usage
1 2 | ## S4 method for signature 'MSdata'
msOutlierUni(msdata, method = "both")
|
Arguments
msdata |
|
method |
Method of outlier detection, one of: |
See Also
msOutlierMulti, msOutlierPeakCV
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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