mean.sd.outlierR: Mean and standard diviation after outlier removal
In jmonlong/PopSV: Population-based detection of structural variants from Read-Depth signal
Description
Usage
Arguments
Value
Author(s)
View source: R/mean.sd.outlierR.R
Description
Computes the mean and standard deviation after removing outlier groups.
outliers package and Grubbs approach are used.
Usage
1
2
## S3 method for class 'sd.outlierR'
mean(x, pv.max.ol = 1e-06)
Arguments
x
a vector of numeric values.
pv.max.ol
the maximum P-value for the Grubbs test. Any outlier
with a P-value lower will be considered as outlier.
Value
a vector similar to 'x' but with NAs for outliers.
Author(s)
Jean Monlong
jmonlong/PopSV documentation built on Sept. 15, 2019, 9:29 p.m.
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Description Usage Arguments Value Author(s)
View source: R/mean.sd.outlierR.R
Description
Computes the mean and standard deviation after removing outlier groups.
outliers package and Grubbs approach are used.
Usage
1 2 | ## S3 method for class 'sd.outlierR'
mean(x, pv.max.ol = 1e-06)
|
Arguments
x |
a vector of numeric values. |
pv.max.ol |
the maximum P-value for the Grubbs test. Any outlier with a P-value lower will be considered as outlier. |
Value
a vector similar to 'x' but with NAs for outliers.
Author(s)
Jean Monlong
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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