clusterAndCollapse: clusterAndCollapse: fit a mixture model with minimum mean...
In ttriche/regulatoR: robust detection of regulatoRy associations between loci and features
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
This calls Mclust and then greedily collapses not-well-separated components.
Usage
1
clusterAndCollapse(x, minSep, G = c(1:5))
Arguments
x
A vector or matrix
minSep
Minimum separation required between means of adjacent groups
G
Numbers of groups to fit (default is 1 through 5)
Details
Not yet.
Value
A list with two elements:
$retain is the number of surviving components,
$values is the reassigned values for each observation
Author(s)
Tim Triche, Jr..
Examples
1
2
3
foo <- c(0, 0.1, 0.15, 0.2, 0.25, 0.3, 0.6, 0.7, 0.75, 0.8, 0.85, 0.9)
clusterAndCollapse(foo, minSep=0.4)
ttriche/regulatoR documentation built on June 1, 2019, 2:51 a.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
This calls Mclust and then greedily collapses not-well-separated components.
Usage
1 | clusterAndCollapse(x, minSep, G = c(1:5))
|
Arguments
x |
A vector or matrix |
minSep |
Minimum separation required between means of adjacent groups |
G |
Numbers of groups to fit (default is 1 through 5) |
Details
Not yet.
Value
A list with two elements: $retain is the number of surviving components, $values is the reassigned values for each observation
Author(s)
Tim Triche, Jr..
Examples
1 2 3 |
foo <- c(0, 0.1, 0.15, 0.2, 0.25, 0.3, 0.6, 0.7, 0.75, 0.8, 0.85, 0.9)
clusterAndCollapse(foo, minSep=0.4)
|
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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