| ca {ca} | R Documentation |
Computation of simple correspondence analysis.
ca(obj, nd = NA, suprow = NA, supcol = NA, subsetrow = NA, subsetcol = NA, swisign = NA)
obj |
A two-way table of non-negative data, usually frequencies. |
nd |
Number of dimensions to be included in the output; if NA the maximum possible dimensions are included. |
suprow |
Indices of supplementary rows. |
supcol |
Indices of supplementary columns. |
subsetrow |
Row indices of subset. |
subsetcol |
Column indices of subset. |
swisign |
A vector of 1's and -1's indicating for which dimension to switch the coordinates. |
The function ca computes a simple correspondence analysis based on the
singular value decomposition.
The options suprow and supcol allow supplementary (passive) rows and columns to be specified.
Using the options subsetrow and/or subsetcol result in a subset CA being performed.
sv |
Singular values |
nd |
Dimenson of the solution |
rownames |
Row names |
rowmass |
Row masses |
rowdist |
Row chi-square distances to centroid |
rowinertia |
Row inertias |
rowcoord |
Row standard coordinates |
rowsup |
Indices of row supplementary points |
colnames |
Column names |
colmass |
Column masses |
coldist |
Column chi-square distances to centroid |
colinertia |
Column inertias |
colcoord |
Column standard coordinates |
colsup |
Indices of column supplementary points |
Nenadic, O. and Greenacre, M. (2007). Correspondence analysis in R, with two- and three-dimensional graphics: The ca package. Journal of Statistical Software, 20 (3), available at http://www.jstatsoft.org/v20/i03/
Greenacre, M. (2007). Correspondence Analysis in Practice. Second Edition. Chapman & Hall / CRC, London.
Blasius, J. and Greenacre, M. J. (1994), Computation of correspondence analysis,
in ``Correspondence Analysis in the Social Sciences'', pp. 53-75, Academic Press,
London.
Greenacre, M.J. and Pardo, R. (2006), Subset correspondence analysis: visualizing relationships among a selected set of response categories from a questionnaire survey. Sociological Methods and Research, 35, pp. 193-218.
svd, plot.ca, plot3d.ca, summary.ca, print.ca
data(author) ca(author) plot(ca(author))