R: Segment Level Stability Across Solutions Plot.

slsaplot {flexclust} | R Documentation

## Segment Level Stability Across Solutions Plot.

### Description

Create a segment level stability across solutions plot, possibly using an additional variable for coloring the nodes.

### Usage

    slsaplot(object, nodecol = NULL, ...)

### Arguments

`object` | An object returned by `stepFlexclust`.
`nodecol` | A numeric vector of length equal to the number of observations clustered in `object` which represents an additional variable where a cluster-specific mean is calculated and used to color the nodes.
`...` | Additional graphical parameters to modify the plot.

### Details

For more details see Dolnicar and Leisch (2017) and Dolnicar et al. (2018).

### Value

List of length equal to the number of different cluster solutions minus one containing numeric vectors of the entropy values used by default to color the nodes.

### Author(s)

Friedrich Leisch

### References

Dolnicar S. and Leisch F. (2017) "Using Segment Level Stability to Select Target Segments in Data-Driven Market Segmentation Studies" Marketing Letters, 28 (3), pp. 423–436.

Dolnicar S., Gruen B., and Leisch F. (2018) Market Segmentation Analysis: Understanding It, Doing It, and Making It Useful. Springer Singapore.

### See Also

`stepFlexclust`, `relabel`, `slswFlexclust`

### Examples

    data("Nclus")
    cl25 <- stepFlexclust(Nclus, k=2:5)
    slsaplot(cl25)
    cl25 <- relabel(cl25)
    slsaplot(cl25)

[Package flexclust version 1.4-0 Index]