fdm2id (version 0.9.5)

CA: Correspondence Analysis (CA)

Description

Performs Correspondence Analysis (CA) including supplementary row and/or column points.

Usage

CA(
  d,
  ncp = 5,
  row.sup = NULL,
  col.sup = NULL,
  quanti.sup = NULL,
  quali.sup = NULL,
  row.w = NULL
)

Arguments

d

A ddata frame or a table with n rows and p columns, i.e. a contingency table.

ncp

The number of dimensions kept in the results (by default 5).

row.sup

A vector indicating the indexes of the supplementary rows.

col.sup

A vector indicating the indexes of the supplementary columns.

quanti.sup

A vector indicating the indexes of the supplementary continuous variables.

quali.sup

A vector indicating the indexes of the categorical supplementary variables.

row.w

An optional row weights (by default, a vector of 1 for uniform row weights); the weights are given only for the active individuals.

Value

The CA on the dataset.

See Also

CA, MCA, PCA, plot.factorial, factorial-class

Examples

# NOT RUN {
data (children, package = "FactoMineR")
CA (children, row.sup = 15:18, col.sup = 6:8)
# }