search for: sampling_point

Displaying 3 results from an estimated 3 matches for "sampling_point".

2017 Oct 02
2
Help on adding a negative binomial density plot
...sampling positions on the surface are pre-defined and are the same before and after cleaning. I have ~20% of 0's. I want to know if the cleaning process was useful at reducing the number of particles. I first fit a negative binomial model using > nbFit<-glmer.nb(Count ~ Cleaning + (1|Sampling_point) , data = myCountDB) I now would like to add a curve to the histogram representing the negative binomial density function fitted to my data using > curve(dnbinom(x=, size=, prob=, mu=), add=TRUE) But I am struggling defining the arguments to dnbinom. Using the str() function on the nbFi...
2017 Oct 03
1
Help on adding a negative binomial density plot
...surface are pre-defined and are the same before and after cleaning. I have ~20% of 0's. I want to know if the cleaning process was useful at reducing the number of particles. > > > I first fit a negative binomial model using > > >> nbFit<-glmer.nb(Count ~ Cleaning + (1|Sampling_point) , data = myCountDB) > > > > I now would like to add a curve to the histogram representing the negative binomial density function fitted to my data using > > >> curve(dnbinom(x=, size=, prob=, mu=), add=TRUE) Why not use the predict function in that package? See ?merMod -...
2017 Oct 02
0
Help on adding a negative binomial density plot
...face are pre-defined and are the same before and after cleaning. I have ~20% of 0's. I want to know if the cleaning process was useful at reducing the number of particles. > > > I first fit a negative binomial model using > > >> nbFit<-glmer.nb(Count ~ Cleaning + (1|Sampling_point) , data = myCountDB) > > > > I now would like to add a curve to the histogram representing the negative binomial density function fitted to my data using > > >> curve(dnbinom(x=, size=, prob=, mu=), add=TRUE) Why not use the predict function in that package? See ?merM...