Dear all,
I've bootstrapped my model in R using package dismo and running it in a loop for 100 times and saved the response curve output externally. So currently, I have 100 CSV files full of different response curves for each predictor variable in the model. How do I use these files to create a smoother response curve instead of just using the response curve provided by not bootstrapping the model and just using the initial response curve provided by package dismo in R? I hope someone can help me out!
Best regards,
Noh