Sorry if this question has come up before but I would like to ask if anyone knows what goes into each of the arguments in maxent()
from the dismo package? I have searched the various R forum sites and the R help page itself but I couldn't understand how to put in my arguments.
I have a sample of my data frame for the predictor variables here
library(dismo)
system.file("java", package="dismo")
bio_14 bio_19 bio_3 bio_5 forest_cover
9 125 67 329 1
9 125 67 329 1
9 124 68 329 3
10 126 67 319 3
Each row is either a background or presence point.
What I don't understand after that is what goes into the p and a arguments in the maxent()
formula. Does the p argument contain x and y coordinates and the 3rd column indicating 1 (presence) and 0 (absence)? Or does column containing the 1s and 0s go into the a argument instead? forest_cover
is a categorical variable.
DataM<-read.csv("Maxent dataset.csv", header=T)
DataM<-data.frame(DataM)
parg<-read.csv("maxent p arg.csv", header=T)
aarg<-read.csv("maxent a arg.csv", header=T)
DataM[,'forest_cover'] = as.factor(DataM[,'forest_cover'])
#p
x y
328206.7075 1257255.387
328759.7075 1256632.385
323102.7012 1256404.391
323029.7117 1267187.402
#a
pb
1
1
1
0
#Final code
maxent1<-maxent(x=DataM, p=parg, a=aarg, factors='forest_cover')
Error in maxent(x = DataM, p = parg, a = aarg, factors = "forest_cover") :
unused arguments (x = DataM, p = parg, a = aarg, factors = "forest_cover")
Please do tell me if I should be moving some of the stuff around and if they are in the right data frames. Thanks in advance