Graphs to study one factor in a Multiple Correspondence Analysis
score.acm.Rd
performs the canonical graph of a Multiple Correspondence Analysis.
Arguments
- x
an object of class
acm
- xax
the column number for the used axis
- which.var
the numbers of the kept columns for the analysis, otherwise all columns
- mfrow
a vector of the form "c(nr,nc)", otherwise computed by a special own function
n2mfrow
- sub
a vector of strings of characters to be inserted as sub-titles, otherwise the variable names of the initial array
- csub
a character size for the sub-titles
- possub
a string of characters indicating the sub-title position ("topleft", "topright", "bottomleft", "bottomright")
- ...
further arguments passed to or from other methods
Examples
data(banque)
banque.acm <- dudi.acm(banque, scann = FALSE, nf = 3)
score(banque.acm, which = which(banque.acm$cr[, 1] > 0.2))
#> Error in s.class(dfxy = cbind(banque.acm$l1[, 1], as.numeric(as.numeric(tapply(banque.acm$l1[, 1], banque[1:810, 2L], function (x, ...) UseMethod("mean")))[banque[1:810, 2L]])), fac = banque[1:810, 2L], ellipseSize = 0, plot = FALSE, storeData = TRUE, pos = -3, ppoints = list(pch = "|"), porigin = list(draw = FALSE), pgrid = list(draw = FALSE), psub = list(position = "topleft"), paxes = list(draw = TRUE), plabels = list(cex = 1.25), psub.text = "duree (cr=0.29)"): non convenient selection for dfxy (can not be converted to dataframe)