| read.nex | R Documentation | 
This function reads NEXUS data stored in nexus, text, or pdf files. Note: for pdf files, it is necessary to first install poppler with, e.g., 'brew install poppler'
read.nex(
  file,
  charlabels = NULL,
  charnums = NULL,
  statelabels = NULL,
  taxlabels = NULL,
  filename = NULL,
  ntax = NULL,
  nchar = NULL,
  first = NULL,
  last = NULL,
  missing = "?",
  gap = "-"
)
file | 
 (required) path to either a .nex, .txt, or .pdf file with NEXUS data  | 
charlabels | 
 optional path to text file with character statements  | 
charnums | 
 optional vector with character numbers  | 
statelabels | 
 optional character vector with state labels for characters  | 
taxlabels | 
 optional vector with names of taxa  | 
filename | 
 vector with names of files associated with characters  | 
ntax | 
 number of taxa (needed for PDF file reading)  | 
nchar | 
 number of characters (needed for PDF file reading)  | 
first | 
 first page for data matrix in a PDF file  | 
last | 
 last page for data matrix in a PDF file  | 
missing | 
 character representing missing data  | 
gap | 
 character representing inapplicable/incomporable data  | 
an object of class nex for use in further phenotools functions
Chad Eliason celiason@fieldmuseum.org
Bertelli, S. and Chiappe, L. M. (2005). Earliest Tinamous (Aves: Palaeognathae) from the Miocene of Argentina and Their Phylogenetic Position. Contributions in Science, 502, 1-20.
## Not run: 
# Read in a nexus file:
x <- read.nex(file = system.file("extdata", "clarke_2006.nex",
package = "phenotools"))
# Build a `nex` object from text files:
charpath <- system.file("extdata", "brusatte2014_charlist.txt",
package = "phenotools")
matpath <- system.file("extdata", "brusatte2014_matrix.txt",
package = "phenotools")
x <- read.nex(matpath, charlabels=charpath)
# Build a `nex` object from a PDF file (Bertelli & Chiappe 2005):
x <- read.nex(file = system.file("extdata", "Bertelli_2005.pdf",
package = "phenotools"), ntax = 34, nchar = 63, first = 20, last = 22)
x
# Plot
plot(x, legend.pos = "top")
## End(Not run)
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