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Hello all, I have a data set where the response variable is the percent cover of a specific plant (represented in cover classes 0,1,2,3,4,5, or 6). This data set has a lot of zeros (plots where the plant was not present). I am trying to model cover class of the plant as a function of both total nitrogen and shrub cover. After quite a bit of research I have come across a conditional approach to modeling data with a lot of zeros (Fletcher et al. 2005, Welsh et al. 1996). In this approach you model the presence/absence data using a logistic regression and then model the presence only data using...

Hi Xiantao, Some more nit-picking, though some of this is a bit more important to fixup. Cheers, Jes > +typedef struct thash_data { Urgh! argh! Please avoid typedefs unless you really need them, see Chapter 5 of Documentation/CodingStyle for details. > diff --git a/include/asm-ia64/kvm_host.h b/include/asm-ia64/kvm_host.h > new file mode 100644 > index 0000000..522bde0 > ---

Hi Xiantao, Some more nit-picking, though some of this is a bit more important to fixup. Cheers, Jes > +typedef struct thash_data { Urgh! argh! Please avoid typedefs unless you really need them, see Chapter 5 of Documentation/CodingStyle for details. > diff --git a/include/asm-ia64/kvm_host.h b/include/asm-ia64/kvm_host.h > new file mode 100644 > index 0000000..522bde0 > ---