find_low_dens_hex: Find low-density Hexagons
In quollr: Visualising How Nonlinear Dimension Reduction Warps Your Data
find_low_dens_hex R Documentation
Find low-density Hexagons
Description
This function identifies hexagons with low density based on the mean density
of their neighboring hexagons.
Usage
find_low_dens_hex(model_2d, b1 = 5, benchmark_mean_dens = 0.05)
Arguments
model_2d
The tibble that contains all hexagonal bin centroids.
b1
Number of bins along the x-axis for hexagon binning.
benchmark_mean_dens
A numeric value that contains
Value
A vector containing the IDs of hexagons to be removed after investigating their neighboring bins.
Examples
find_low_dens_hex(model_2d = scurve_model_obj$model_2d, b1 = 5,
benchmark_mean_dens = 0.05)
quollr documentation built on Aug. 8, 2025, 6:08 p.m.
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| find_low_dens_hex | R Documentation |
Find low-density Hexagons
Description
This function identifies hexagons with low density based on the mean density of their neighboring hexagons.
Usage
find_low_dens_hex(model_2d, b1 = 5, benchmark_mean_dens = 0.05)
Arguments
model_2d |
The tibble that contains all hexagonal bin centroids. |
b1 |
Number of bins along the x-axis for hexagon binning. |
benchmark_mean_dens |
A numeric value that contains |
Value
A vector containing the IDs of hexagons to be removed after investigating their neighboring bins.
Examples
find_low_dens_hex(model_2d = scurve_model_obj$model_2d, b1 = 5,
benchmark_mean_dens = 0.05)
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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