Search Archives

Hi everyone, I am trying to investigate how well a certain (quirky) quadrat layout will uncover underlying spatial phenomenon of plant locatons. I am using the geoR package to generate variograms, but I am noticing some interesting trends that may...

I have a point pattern data set (SPECIES.ppp) of stem locations for a species, and I want to see if they depend on several Environmental variables such as light and soil properties (working one at a time, for now...

Hello everyone- I have several sets of data that I fit (using MLE) to several uncommon distributions (betabinomial, zero-inflated negative binomial, zero-inflated betabinomial, zero-inflated binomial etc...). I used dzinbinom from the emdbook package, corresponding to Benjamin Bolker...

Hi everyone- I am trying to fit an inhomogenous K function based to a large(ish) dataset. I have successfully executed this code on data sets with a smaller n. > SPECIES.ppp planar point pattern: 1598 points window: rectangle = [564320...

Jacob- You can use a Chi-squared goodness of fit - chisq.test() for discrete distributions like the negative binomial and a Kolmogorov-Smirnoff test- ks.test() for continuous distributions. They will both produce a p-value which tests the null...

I am working on a project where we are trying to model levels of Phosphorous runoff on farms as a function of several variables, such as farm size in acres, slope, proximity to streams, number of animals, etc.. We have...