Rpars(X, path=NULL, ...)"phylo" that is the optimized 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; thorough logical value indicating whether to conduct a more thorough search (defaults to thorough=TRUE); nsave number of trees to save if multiple equally parsimonious trees are found (defaults to nsave=10000); 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); 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 pars program in PHYLIP can be found here Rdnaml, Rdnapennydata(primates.bin)
tree<-Rpars(primates.bin)Run the code above in your browser using DataLab