fdm2id: CA – R documentation

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CA

Correspondence Analysis (CA)

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

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

`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.

The CA on the dataset.

data (children, package = "FactoMineR")
CA (children, row.sup = 15:18, col.sup = 6:8)

Data Mining and R Programming for Beginners

v0.9.5

GPL-3

Authors

Alexandre Blansché [aut, cre]

Initial release