ExpectedLogW: Compute log expected sum of pairwise distances for a given...
In NHLBI-BCB/IKAP: IKAP: Identifying K mAjor cell Population group in single cell analysis
Description
Usage
Arguments
Examples
Description
This function computes log expected sum of pairwise distances for a given grouping. It assumes data points are
uniformly distributed within a range of values in every dimension. It first computes the expected sum of
pairwise distances for each group (cluster) and then takes log for the sum of expected sums acros all groups.
Usage
1
ExpectedLogW(pc.ranges, one.clustering)
Arguments
pc.ranges
a numeric matrix: the minimum (1st row) and the maximum (2nd row) for each dimension (column)
one.clustering
a vector indicating the clustering membership for each data point
Examples
1
ExpectedLogW(pc.ranges, one.clustering)
NHLBI-BCB/IKAP documentation built on March 21, 2020, 8:08 p.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 Examples
Description
This function computes log expected sum of pairwise distances for a given grouping. It assumes data points are uniformly distributed within a range of values in every dimension. It first computes the expected sum of pairwise distances for each group (cluster) and then takes log for the sum of expected sums acros all groups.
Usage
1 | ExpectedLogW(pc.ranges, one.clustering)
|
Arguments
pc.ranges |
a numeric matrix: the minimum (1st row) and the maximum (2nd row) for each dimension (column) |
one.clustering |
a vector indicating the clustering membership for each data point |
Examples
1 | ExpectedLogW(pc.ranges, one.clustering)
|
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.