Rmix(X, path=NULL, ...)"phylo" or "multiPhylo" that is the tree or trees with the best parsimony score. tree$score gives the parsimony score, for "phylo" object tree.quiet suppress some output to R console (defaults to quiet = FALSE); tree object of class "phylo" - if supplied, then the parsimony score will be computed on a fixed input topology; mixture, a vector containing "W" and "C" in upper or lower case indicating which characters should be evaluated using Wagner (Eck & Dayhoff 1966; Kluge & Farris 1969) or Camin-Sokal (Camin & Sokal 1965) parsimony methods, respectively - this argument takes precedence over method (see below); method either "Wagner" or "Camin-Sokal", in upper or lower case, indicating whether Wagner (Eck & Dayhoff 1966; Kluge & Farris 1969) or Camin-Sokal (Camin & Sokal 1965) parsimony should be used; random.order add taxa to tree in random order (defaults to random.order = TRUE); random.addition number of random addition replicates for random.order = TRUE (defaults to random.addition = 10); threshold threshold value for threshold parsimony (defaults to ordinary parsimony); ancestral a vector of length equal to the number of columns in X containing the the ancestral state at the root of the tree for each character, these should be "0", "1", and "?"; weights vector of weights of length equal to the number of columns in X (defaults to unweighted); outgroup outgroup if outgroup rooting of the estimated tree is desired; and cleanup remove PHYLIP input & output files after the analysis is completed (defaults to cleanup = TRUE).
More information about the mix program in PHYLIP can be found here Rdnaparsdata(primates.bin)
tree<-Rmix(primates.bin)Run the code above in your browser using DataLab