Jon - Jon A wrote:
Hello, I have a dataset with a continuous independent variable (fish length, range: 30-150 mm) and a binary response (foraging success, 0 or 1). I want to discretize fish length into 5 mm bins and give the proportion of individuals who successfully foraged in each each size bin. I have used the cut function to discretize the length values into my desired bins, but I can't figure out how to manipulate my response data in terms of the levels I've created. Any advice on how to achieve my task?
You don't give example data, but would something like: df ## your data frame df$flcat <- cut(...) ## make categorical variable ## install package catspec from CRAN library(catspec) dftab <- table(df$flcat, df$success) ctab(dftab) ## see ?ctab for options about row/column proportions Hope that helps.
Thanks in advance.
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