plot.pcaCoDa | R Documentation |

Provides a screeplot and biplot for (robust) compositional principal components analysis.

```
## S3 method for class 'pcaCoDa'
plot(x, y, ..., which = 1, choices = 1:2)
```

`x` |
object of class ‘pcaCoDa’ |

`y` |
... |

`...` |
... |

`which` |
an integer between 1 and 3. Produces a screeplot (1), or a biplot using stats biplot.prcomp function (2), or a biplot using ggfortify's autoplot function (3). |

`choices` |
principal components to plot by number |

The robust compositional screeplot.

M. Templ, K. Hron

Filzmoser, P., Hron, K., Reimann, C. (2009) Principal Component Analysis for
Compositional Data with Outliers. *Environmetrics*, **20** (6),
621–632.

`pcaCoDa`

, `biplot.pcaCoDa`

```
data(coffee)
## Not run:
p1 <- pcaCoDa(coffee[,-1])
plot(p1)
plot(p1, type="lines")
plot(p1, which = 2)
plot(p1, which = 3)
## End(Not run)
```

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