prefpls {FactoMineR} | R Documentation |

## Scatter plot and additional variables with quality of representation contour lines

### Description

This function is useful to interpret the usual graphs $(x,y)$ with additional quantitative variables.

### Usage

```
prefpls(donnee, var1 = 1, var2 = 2, firstvar = 3,
lastvar = ncol(donnee), levels = c(0.2,0.4,0.6,0.7,0.8,0.9,1),
asp = 1, nbchar = max(nchar(colnames(donnee))), title = NULL,
choix="var")
```

### Arguments

`donnee` |
a data frame made up of quantitative variables |

`var1` |
the position of the variable corresponding to the x-axis |

`var2` |
the position of the variable corresponding to the y-axis |

`firstvar` |
the position of the first endogenous variable |

`lastvar` |
the position of the last endogenous variable (by default the last column of |

`levels` |
a list of the levels displayed in the graph of variables |

`asp` |
aspect ratio for the graph of the individuals |

`nbchar` |
the number of characters used for the labels of the variables |

`title` |
string corresponding to the title of the graph you draw (by default NULL and a title is chosen) |

`choix` |
the graph to plot ("ind" for the individuals, "var" for the variables) |

### Details

This function is very useful when there is a strong correlation between two variables *x* and *y*

### Value

A scatter plot of the invividuals

A graph with additional variables and the quality of representation contour lines.

### Author(s)

Francois Husson francois.husson@institut-agro.fr

### References

Husson, F. & Pages, J. (2005). Scatter plot and additional variables. *Journal of applied statistics*

### Examples

```
data(decathlon)
prefpls(decathlon[,c(11,12,1:10)])
```

*FactoMineR*version 2.11 Index]