density_cut: Density cut.
In beadplexr: Analysis of Multiplex Cytometric Bead Assays
View source: R/cluster_events.R
density_cut R Documentation
Density cut.
Description
Cut data based on density.
Usage
density_cut(.x, .k, .lower = 0.1, .upper = 2, .step = 0.1)
Arguments
.x
A numeric vector.
.k
Numeric giving the number of expected clusters.
.lower, .upper
The interval for possible value of adjust.
.step
A numeric giving the increment to adjust. Sometimes low values
are needed to find a proper adjust value.
Value
A factor, see base::cut()
Examples
set.seed(1234)
.x <- c(rnorm(200, 0, 1), rnorm(200, 0.8, 1))
.k <- 2
density_cut(.x, .k)
beadplexr documentation built on July 9, 2023, 5:59 p.m.
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View source: R/cluster_events.R
| density_cut | R Documentation |
Density cut.
Description
Cut data based on density.
Usage
density_cut(.x, .k, .lower = 0.1, .upper = 2, .step = 0.1)
Arguments
.x |
A numeric vector. |
.k |
Numeric giving the number of expected clusters. |
.lower, .upper |
The interval for possible value of adjust. |
.step |
A numeric giving the increment to adjust. Sometimes low values are needed to find a proper adjust value. |
Value
A factor, see base::cut()
Examples
set.seed(1234)
.x <- c(rnorm(200, 0, 1), rnorm(200, 0.8, 1))
.k <- 2
density_cut(.x, .k)
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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