threeMedianSmooth: Moving three-point median smoothing
In seandavi/Rpressa: A collection of useful code for bioinformatics
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
A three-point moving median is a very effective way of robustly
removing outlier single points without removing effects in a vector
that persist over more than one point.
Usage
1
Arguments
x
a numeric vector sorted in the order of interest (for
example, chromosome order)
Details
This is pretty simple. The data are embedded with length=3 and then
rowMedians is called.
Value
A numeric vector the same length as the input vector.
Author(s)
Sean Davis <sdavis2@mail.nih.gov>
Examples
1
2
3
4
5
x <- rnorm(100)
x[4] <- 10
summary(x)
y <- threeMedianSmooth(x)
summary(y)
seandavi/Rpressa documentation built on May 29, 2019, 4:33 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
A three-point moving median is a very effective way of robustly removing outlier single points without removing effects in a vector that persist over more than one point.
Usage
1 |
Arguments
x |
a numeric vector sorted in the order of interest (for example, chromosome order) |
Details
This is pretty simple. The data are embedded with length=3 and then rowMedians is called.
Value
A numeric vector the same length as the input vector.
Author(s)
Sean Davis <sdavis2@mail.nih.gov>
Examples
1 2 3 4 5 | x <- rnorm(100)
x[4] <- 10
summary(x)
y <- threeMedianSmooth(x)
summary(y)
|
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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