rgrubbs.test: Recursive Grubbs test for an outlier detection
In sooheang/OutlierDM: Outlier Detection for Multiplicative High-throughput Data
Description
Usage
Arguments
Details
References
See Also
Examples
Description
This function works to detect outlying observation given one peptide by using the Grubbs test recursively.
Usage
1
rgrubbs.test(x, cri = 0.05)
Arguments
x
a peptide
cri
a criteria for the p-value
Details
It is a recursive version of the Grubbs test to detect outlying observations assuming that a peptide is given.
References
Cho, H and Eo, S-H. (2015). Outlier Detection for Mass Spectrometry Data, Submitted.
See Also
Examples
1
2
data(lcms3)
rgrubbs.test(log2(lcms3[100,]))
sooheang/OutlierDM documentation built on May 30, 2019, 6:31 a.m.
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Description Usage Arguments Details References See Also Examples
Description
This function works to detect outlying observation given one peptide by using the Grubbs test recursively.
Usage
1 | rgrubbs.test(x, cri = 0.05)
|
Arguments
x |
a peptide |
cri |
a criteria for the p-value |
Details
It is a recursive version of the Grubbs test to detect outlying observations assuming that a peptide is given.
References
Cho, H and Eo, S-H. (2015). Outlier Detection for Mass Spectrometry Data, Submitted.
See Also
Examples
1 2 | data(lcms3)
rgrubbs.test(log2(lcms3[100,]))
|
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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