# MDSplot

From randomForest v4.6-14
by Andy Liaw

##### Multi-dimensional Scaling Plot of Proximity matrix from randomForest

Plot the scaling coordinates of the proximity matrix from randomForest.

##### Usage

`MDSplot(rf, fac, k=2, palette=NULL, pch=20, ...)`

##### Arguments

- rf
an object of class

`randomForest`

that contains the`proximity`

component.- fac
a factor that was used as response to train

`rf`

.- k
number of dimensions for the scaling coordinates.

- palette
colors to use to distinguish the classes; length must be the equal to the number of levels.

- pch
plotting symbols to use.

- ...
other graphical parameters.

##### Value

The output of `cmdscale`

on 1 - `rf$proximity`

is
returned invisibly.

##### Note

If `k > 2`

, `pairs`

is used to produce the
scatterplot matrix of the coordinates.

##### See Also

##### Examples

```
# NOT RUN {
set.seed(1)
data(iris)
iris.rf <- randomForest(Species ~ ., iris, proximity=TRUE,
keep.forest=FALSE)
MDSplot(iris.rf, iris$Species)
## Using different symbols for the classes:
MDSplot(iris.rf, iris$Species, palette=rep(1, 3), pch=as.numeric(iris$Species))
# }
```

*Documentation reproduced from package randomForest, version 4.6-14, License: GPL (>= 2)*

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