Closed maxheld83 closed 5 years ago
Some notes about using Q method with large P-sets (220 Q-sorts):
q.compplot
and q.rotplot
work*, but because there are so many Q-sorts, it's quite cluttered (though I can't think of a solution right away)q.corrplot
--- @maxheld83 What's the difference between this function and any other correlogram function? (if there isn't any, then we shouldn't include it in the package)q.loaplot()
maybe use alternative ways of scatterplots for large datasets? eg http://vis.supstat.com/2012/11/to-see-a-world-in-grains-of-sand/q.scoreplot
(my favourite!) works as well. however with many factors, the 'pyramids' are collapsed.*They work with 3 factors extracted, but with 6 they give an error Error: Results must be all atomic, or all data frames
Job van Exel might give me his 14xx P-set dataset soon, and I'd be nice to make sure that all the functions work and plots make sense (some will not) for such a large P-set, before he tries it himself.