search for: nspeci

...") approach but the function doesn't like it, i have also tried as.matrix(data =) but that doesn't work. >> >> What i require is the row names to be the first column of the txt file , as below >> >> This was made using this >> >> nTraits = 5 >> nSpecies = 20 >> a=matrix(runif(nTraits*nSpecies),nSpecies,nTraits) >> rownames(a) = letters[1:nSpecies] >> >> However i want my data in their not simulated? >> >> >> >> >> [,1] [,2] [,3] [,4] [,5] >> a 0.72869780 0....

Hi, I'm needing some help finding a function to read a large text file into an array in R. The data are essentially presence / absence / na data for many species and come as a grid with each species name (after two spaces) at the beginning of the matrix defining the map for that species. An excerpt could therefore be: SPECIES1 999001099 900110109 011101000 901100101 110100019 901110019

Dear List, I am doing some simulation in R and need basic help! I have a list of animal families for which i know the number of species in each family. I am working under the assumption that a species has a 7.48% chance of being at risk. I want to simulate the number of species expected to be at risk under a random binomial distribution with 10,000 randomizations. I am relatively knew to

I teach biology, and would like to show the students how to use R for some statistical assignments. One of those is to make a kite diagram (for example as seen in http://www.medinavalleycentre.org.uk/images/Bembri1.jpg). Is there any way to create one using R? I did a help.search("kite") and looked on the r-project HP with no luck. Previously when the course was taugh the students have

Hi, I have reconstructed ancestral character states on a phylogeny using MuSSE in the diversitree package and plotted the character state probabilities as pie charts on the nodes. I would, however, like to colour the character states of my extant species, i.e. the tip labels, the same colours as my pie charts, such that all species in state 1 are e.g. blue, species in state 2 red and species in