estimateDc: Estimate the distance cutoff (density neighbourhood) from...
In JinmiaoChenLab/ClusterX: Fast clustering by automaticly search and find of density peaks
Description
Usage
Arguments
Value
Description
This function estimate a distance cutoff value from the down-samples data,
wchich meet the criteria that the average neighbor rate (number of points
within the distance cutoff value) fall between the provided range.
Usage
1
2
estimateDc(data, sampleSize = 5000, neighborRateLow = 0.01,
neighborRateHigh = 0.02)
Arguments
data
Numeric matrix of data or data frame.
sampleSize
The size of the down-sampled data.
neighborRateLow
The lower bound of the neighbor rate (default 0.01).
neighborRateHigh
The upper bound of the neighbor rate (default 0.15).
Value
A numeric value giving the estimated distance cutoff value.
JinmiaoChenLab/ClusterX documentation built on May 7, 2019, 10:52 a.m.
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.
Description Usage Arguments Value
Description
This function estimate a distance cutoff value from the down-samples data, wchich meet the criteria that the average neighbor rate (number of points within the distance cutoff value) fall between the provided range.
Usage
1 2 | estimateDc(data, sampleSize = 5000, neighborRateLow = 0.01,
neighborRateHigh = 0.02)
|
Arguments
data |
Numeric matrix of data or data frame. |
sampleSize |
The size of the down-sampled data. |
neighborRateLow |
The lower bound of the neighbor rate (default 0.01). |
neighborRateHigh |
The upper bound of the neighbor rate (default 0.15). |
Value
A numeric value giving the estimated distance cutoff value.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.