search for: fnz

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2002 Apr 24
3
nonlinear least squares, multiresponse
I'm trying to fit a model to solve a biological problem. There are multiple independent variables, and also there are multiple responses. Each response is a function of all the independent variables, plus a set of parameters. All the responses depend on the same variables and parameters - just the form of the function changes to define each seperate response. Any ideas how I can fit
2003 Aug 27
3
seeking help with with()
I tried to define a function like: fnx <- function(x, by.vars=Month) print(by(x, by.vars, summary)) But this doesn't work (does not find x$Month; unlike other functions, such as subset(), the INDICES argument to "by" does not look for variables in dataset x. Is fully documented, but I forget every time). So I tried using "with": fnxx <- function(x, by.vars=Month)