visKernels {supraHex} | R Documentation

## Function to visualize neighborhood kernels

### Description

`visKernels` is supposed to visualize a series of neighborhood kernels, each of which is a non-increasing functions of: i) the distance d_{wi} between the hexagon/rectangle i and the winner w, and ii) the radius δ_t at time t.

### Usage

    visKernels(newpage = TRUE)

### Arguments

`newpage` | logical to indicate whether to open a new page. By default, it sets to true for opening a new page

### Value

invisible

### Note

There are five kernels that are currently supported:

- For "gaussian" kernel, h_{wi}(t)=e^{-d_{wi}^2/(2*δ_t^2)}

- For "cutguassian" kernel, h_{wi}(t)=e^{-d_{wi}^2/(2*δ_t^2)}*(d_{wi} ≤ δ_t)

- For "bubble" kernel, h_{wi}(t)=(d_{wi} ≤ δ_t)

- For "ep" kernel, h_{wi}(t)=(1-d_{wi}^2/δ_t^2)*(d_{wi} ≤ δ_t)

- For "gamma" kernel, h_{wi}(t)=1/Γ(d_{wi}^2/(4*δ_t^2)+2)

These kernels above are displayed within a plot for each fixed radius. Three different radii (i.e., 1 and 2) are illustrated.

### See Also

`sTrainSeq`, `sTrainBatch`

### Examples

    # visualise currently supported five kernels
    visKernels()

[Package supraHex version 1.18.0 Index]