plot,flowDens-method {flowClust} | R Documentation

## Contour or Image Plot of Clustering Results

### Description

This method makes use of the `flowDens` object returned by `density` to generate a contour or image plot.

### Usage

    ## S4 method for signature 'flowDens,missing'
    plot(x, type = c("contour", "image"),
      nlevels = 30, scale = c("raw", "log", "sqrt"), color = c("rainbow",
      "heat.colors", "terrain.colors", "topo.colors", "cm.colors", "gray"),
      xlab = colnames(x@dx), ylab = colnames(x@dy), ...)

### Arguments

`x` | The `flowDens` object returned from `density`.
`type` | Either `"contour"` or `"image"` to specify the type of plot desired.
`nlevels` | An integer to specify the number of contour levels or colors shown in the plot.
`scale` | If `"log"`, the logarithm of the density values will be used to generate the plot; similar interpretation holds for `"sqrt"`. The use of a `log` or `sqrt` elicits more information about low density regions.
`color` | A string containing the name of the function used to generate the desired list of colors.
`xlab, ylab` | Labels for the x- and y-axes respectively.
`...` | Other arguments to be passed to `contour` or `image`, for example, `drawlabels` and `add`. Once an image plot is generated, users may impose a contour plot on it by calling this function with an additional argument `add=TRUE`.

### Author(s)

Raphael Gottardo <raph@stat.ubc.ca>, Kenneth Lo <c.lo@stat.ubc.ca>

### References

Lo, K., Brinkman, R. R. and Gottardo, R. (2008) Automated Gating of Flow Cytometry Data via Robust Model-based Clustering. Cytometry A 73, 321-332.

### See Also

`flowClust`, `density`

[Package flowClust version 3.32.0 Index]