Closed fawda123 closed 9 years ago
Done - everything noted above has been corrected except for the scaling on item 5. I'm not sure the scaling is an issue because the plot method for mca produces the same scaling as a ggord plot.
library(MASS)
library(ggord)
data(tea, package = 'FactoMineR')
tea <- tea[, c('Tea', 'sugar', 'price', 'age_Q', 'sex')]
ord <- mca(tea[, -1])
plot(ord)
ggord(ord, tea$Tea)
Also note that the explained variance of each axis is not the same as the other multiple correspondence analyses but they are identical to those returned with the object. Again, a MASS issue maybe.
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