grubbs_test: Outlier removals with Grubbs' method
In qzhang503/proteoQ: Processing and Informatic Analysis of Mass Spectrometrirc Data
grubbs_test R Documentation
Outlier removals with Grubbs' method
Description
See also outliers::grubbs.test.
Usage
grubbs_test(x, type = 10, opposite = FALSE, two.sided = FALSE)
Arguments
x
A data frame.
type
The type of Dixon method. See also outliers::dixon.test.
opposite
The high or low. See also outliers::dixon.test.
two.sided
Logical; is two-sided or not. See also
outliers::dixon.test.
qzhang503/proteoQ documentation built on March 16, 2024, 5:27 a.m.
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| grubbs_test | R Documentation |
Outlier removals with Grubbs' method
Description
See also outliers::grubbs.test.
Usage
grubbs_test(x, type = 10, opposite = FALSE, two.sided = FALSE)
Arguments
x |
A data frame. |
type |
The type of Dixon method. See also outliers::dixon.test. |
opposite |
The high or low. See also outliers::dixon.test. |
two.sided |
Logical; is two-sided or not. See also outliers::dixon.test. |
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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