Dear morphometricians, I am doing my bachelor’s thesis on fish morphology. I am very new to R and I want to check if my codes are correct! By the package “Morpho” I ran CVA on my biometric data with 1000 permutation tests for Mahalanobis distance as follows:
## first create array from my data frame (=Resdata): my.array <- array(Resdata, dim = length(Resdata)) ##then running CVA: cano <- CVA(dataarray = my.array, groups = OTU, weighting = FALSE, tolinv = 1e-10, plot = TRUE, rounds = 1000, cv = TRUE, p.adjust.method = "bonferroni") Are the codes correct? How can I see the results of Mahalanobis distances and p-values between my groups? In general is this better to use CVA or Discriminant Analysis to classify objects with a prior assumption? I would appreciate any help. Jenny -- MORPHMET may be accessed via its webpage at http://www.morphometrics.org --- You received this message because you are subscribed to the Google Groups "MORPHMET" group. To unsubscribe from this group and stop receiving emails from it, send an email to morphmet+unsubscr...@morphometrics.org.
