Plots factor map.

```
plot_rows(object, ...)
plot_columns(object, ...)
# S4 method for MultivariateAnalysis
plot_rows(
object,
axes = c(1, 2),
active = TRUE,
sup = TRUE,
highlight = NULL,
group = NULL
)
# S4 method for CA,missing
plot(
x,
margin = c(1, 2),
axes = c(1, 2),
active = TRUE,
sup = TRUE,
highlight = NULL,
group = NULL
)
# S4 method for CA
plot_columns(
object,
axes = c(1, 2),
active = TRUE,
sup = TRUE,
highlight = NULL,
group = NULL
)
# S4 method for PCA,missing
plot(
x,
margin = 1,
axes = c(1, 2),
active = TRUE,
sup = TRUE,
highlight = NULL,
group = NULL
)
# S4 method for PCA
plot_columns(
object,
axes = c(1, 2),
active = TRUE,
sup = TRUE,
highlight = NULL,
group = NULL
)
# S4 method for BootstrapPCA
plot_columns(
object,
axes = c(1, 2),
active = TRUE,
sup = TRUE,
highlight = NULL,
group = NULL
)
```

- object, x
- ...
Currently not used.

- axes
A length-two

`numeric`

vector giving the dimensions to be plotted.- active
A

`logical`

scalar: should the active observations be plotted?- sup
A

`logical`

scalar: should the supplementary observations be plotted?- highlight
A

`character`

string giving XXX. It must be one of "`coordinates`

", "`contributions`

" or "`cos2`

". Any unambiguous substring can be given. If`NULL`

(the default), no highlighting is applied.- group
A vector of categories specifying the categorical variable from which to color the individuals (only used if

`highlight`

is`NULL`

; see below).- margin
A length-one

`numeric`

vector giving the subscript which the data will be returned:`1`

indicates individuals/rows (the default),`2`

indicates variables/columns,`c(1, 2)`

indicates rows and columns (`CA`

).

Point shapes and line types are set whether an observation is a row/individual or a column/variable and is active or supplementary.

Colors are set according to `highlight`

and `group`

:

If

`highlight`

is not`NULL`

, the color gradient will vary according to the value of the selected parameter.If

`group`

is a`numeric`

vector, the color gradient and size will vary by the value of`group`

.If

`group`

is not a`numeric`

vector, the colors will be mapped to the levels of`group`

.If both are

`NULL`

(the default), then the same rule as for shapes is used.

Other plot:
`plot_contributions()`

,
`plot_eigenvalues`

N. Frerebeau

```
## Load data
data("zuni", package = "folio")
## Compute correspondence analysis
X <- ca(zuni)
## Plot observations
plot(X)
## Screeplot
plot_variance(X)
```