I tried predictNLS(), but it threw me a cryptic error. When I went to each of the steps in the function, I realized that the error occurs where the names of the predictors are extracted from the expression:
VARS <- all.vars(EXPR)
which gives "pi" and "day", which is wrong (it should only be "day"). The problem is that all.vars interprets "pi" as a variable. Is there a clean solution to this or do I have to go with 3.14 in the call? Interestingly "sin" and "cos" are interpreted properly.
Hi
I have a nls call that contains sine, cosine and pi:
nls(temperature ~ a + b*sin(2*pi/365*day) + c*cos(2*pi/365*day) + d*sin(4*pi/365*day)+ e*cos(4*pi/365*day), data=climate, start=list(a=10, b=1, c=1, d=1, e=1))
I tried
predictNLS()
, but it threw me a cryptic error. When I went to each of the steps in the function, I realized that the error occurs where the names of the predictors are extracted from the expression:VARS <- all.vars(EXPR)
which gives "pi" and "day", which is wrong (it should only be "day"). The problem is that
all.vars
interprets "pi" as a variable. Is there a clean solution to this or do I have to go with 3.14 in the call? Interestingly "sin" and "cos" are interpreted properly.Best, Fabienne