plot.CaGalt | R Documentation |

Plot the graphs for a Correspondence Analysis on Generalised Aggregated Lexical Table (CaGalt).

```
## S3 method for class 'CaGalt'
plot(x, axes = c(1, 2), choix = c("ind", "freq", "quali.var", "quanti.var"),
conf.ellip = FALSE, contr.ellipse = 3, xlim = NULL, ylim = NULL, col.ind = "black",
col.freq = "darkred", col.quali = "blue", col.quanti = "blue", label = TRUE,
lim.cos2.var = 0, title = NULL, palette = NULL,
autoLab = c("auto", "yes", "no"), new.plot = FALSE, select = NULL,
unselect = 0.7, shadowtext = FALSE, ...)
```

`x` |
an object of class CaGalt |

`axes` |
a length 2 vector specifying the components to plot |

`choix` |
the graph to plot ("ind" for the individuals, "freq" for the frequencies, "quali.var" for the categorical variables, "quanti.var" for the quantitative variables) |

`conf.ellip` |
boolean (FALSE by default), if TRUE, draw ellipses around the frequencies and the variables |

`contr.ellipse` |
the confidence ellipses were drawn for the frequencies with a contribution higher than X times of mean contribution on the 2 dimensions of your plot (by default 3) |

`xlim` |
range for the plotted 'x' values, defaulting to the range of the finite values of 'x' |

`ylim` |
range for the plotted 'y' values, defaulting to the range of the finite values of 'y' |

`col.ind` |
a color for the individuals (by default "black") |

`col.freq` |
a color for the frequencies (by default "darkred") |

`col.quali` |
a color for the categories of categorical variables (by default "blue") |

`col.quanti` |
a color for the quantitative variables (by default "blue") |

`label` |
the labels are drawn (by default TRUE) |

`lim.cos2.var` |
value of the square cosinus under the variables are not drawn |

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

`palette` |
the color palette used to draw the points. By default colors are chosen. If you want to define the colors : palette=palette(c("black","red","blue")); or you can use: palette=palette(rainbow(30)), or in black and white for example: palette=palette(gray(seq(0,.9,len=25))) |

`autoLab` |
if autoLab="auto", autoLab is equal to "yes" if there are less than 50 elements and "no" otherwise; if "yes", the labels of the drawn elements are placed in a "good" way (can be time-consuming if many elements), and if "no" the elements are placed quickly but may overlap |

`new.plot` |
boolean, if TRUE, a new graphical device is created |

`select` |
a selection of the elements that are drawn; see the details section |

`unselect` |
may be either a value between 0 and 1 that gives the transparency of the unselected objects (if unselect=1 the transparency is total and the elements are not drawn, if unselect=0 the elements are drawn as usual but without any label) or may be a color (for example unselect="grey60") |

`shadowtext` |
boolean; if true put a shadow on the labels (rectangles are written under the labels which may lead to difficulties to modify the graph with another program) |

`...` |
further arguments passed to or from other methods, such as cex, cex.main, ... |

The argument autoLab = "yes" is time-consuming if there are many labels that overlap. In this case, you can modify the size of the characters in order to have less overlapping, using for example cex=0.7. The select argument can be used in order to select a part of the elements (individuals if you draw the graph of individuals, or variables if you draw the graph of variabless) that are drawn. For example, you can use: select = 1:5 and then the elements 1:5 are drawn. select = c("name1","name5") and then the elements that have the names name1 and name5 are drawn. select = "coord 10" and then the 10 elements that have the highest (squared) coordinates on the 2 chosen dimensions are drawn. select = "contrib 10" and then the 10 elements that have the highest contribution on the 2 dimensions of your plot are drawn (available only when frequencies are drawn). select = "cos2 5" and then the 5 elements that have the highest cos2 on the 2 dimensions of your plot are drawn.

Returns the individuals, the frequencies and the variables factor map.

Belchin Kostov badriyan@clinic.ub.es, Monica Becue-Bertaut, Francois Husson

`CaGalt`

```
## Not run:
data(health)
res.cagalt<-CaGalt(Y=health[,1:115],X=health[,116:118],type="n")
plot(res.cagalt,choix="quali.var",conf.ellip=TRUE,axes=c(1,4))
## Selection of some individuals,categories and frequencies
plot(res.cagalt,choix="freq",col.freq="darkgreen",cex=1.5,select="contrib 10")
plot(res.cagalt,choix="ind",select="coord 10")
plot(res.cagalt,choix="quali.var",select="cos2 0.5")
## End(Not run)
```

FactoMineR documentation built on Oct. 13, 2023, 1:06 a.m.

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