tof_find_jsd: Find the Jensen-Shannon Divergence (JSD) between two numeric...
In keyes-timothy/tidytof: Analyze High-dimensional Cytometry Data Using Tidy Data Principles
tof_find_jsd R Documentation
Find the Jensen-Shannon Divergence (JSD) between two numeric vectors
Description
Find the Jensen-Shannon Divergence (JSD) between two numeric vectors
Usage
tof_find_jsd(vec_1, vec_2, num_bins = 100)
Arguments
vec_1
A numeric vector.
vec_2
A numeric vector.
num_bins
An integer number of bins to use when binning
across the two vectors' combined range. Defaults to 100.
Value
A double (of length 1) representing the JSD between the two vectors.
keyes-timothy/tidytof documentation built on Aug. 28, 2024, 8:37 a.m.
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| tof_find_jsd | R Documentation |
Find the Jensen-Shannon Divergence (JSD) between two numeric vectors
Description
Find the Jensen-Shannon Divergence (JSD) between two numeric vectors
Usage
tof_find_jsd(vec_1, vec_2, num_bins = 100)
Arguments
vec_1 |
A numeric vector. |
vec_2 |
A numeric vector. |
num_bins |
An integer number of bins to use when binning across the two vectors' combined range. Defaults to 100. |
Value
A double (of length 1) representing the JSD between the two vectors.
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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