I would like to use lapply() to compute several models in R, but it seems that the update() function can't handle models generated through lapply().
A minimal example:
d1 <- data.frame(y = log(1:9), x = 1:9, trt = rep(1:3, each = 3))
f <- list(y ~ 1, y ~ x, y ~ trt)
modsa <- lapply(f, function(formula) glm(formula, data = d1))
modsb <- lapply(f, glm, data = d1)
update(modsa[[1]], data = d1[1:7, ])
#> Error: object of type 'closure' is not subsettable
update(modsb[[1]], data = d1[1:7, ])
#> Error in FUN(formula = X[[i]], data = d1[1:7, ]): could not find function "FUN"
Is there a way that allows update() to deal with models generated through lapply()?
The error is occurring because the call elements of the glm objects are being overwritten by the argument name passed to the anonymous function
modsa <- lapply(f, function(x) glm(x, data = d1))
modsa[[1]]$call
glm(formula = x, data = d1)
#compare with a single instance of the model
moda1<-glm(y ~ 1, data=d1)
moda1$call
glm(formula = y ~ 1, data = d1)
If you add back in the formula, it will correctly recreate the call
update(modsa[[1]], data = d1[1:7, ], formula=f[[1]])
This doesn't work for the second instance, but you can see that if you manually update the call element the update functionality is rescued.
modsb[[1]]$call<-getCall(moda1)
update(modsb[[1]], data = d1[1:7, ])
Esther is correct, the problem is with the call element of glm. From ?update:
‘update’ will update and (by default) re-fit a model. It does this by extracting the call stored in the object, updating the call and (by default) evaluating that call.
As already mentioned, one can update including the formula as well:
update(modsa[[1]], data = d1[1:7, ], formula=f[[1]])
If for some reason this is not convenient, here is how to run your lapply() and have it assign directly the correct formula to the call element:
modsa <- lapply(f, function(formula) eval(substitute(glm(F, data = d1), list(F=formula))))
This substutites the respective formula to the glm call, and then evaluates it. With this long one-liner you can run update(modsa[[1]], data = d1[1:7, ]) with no problem.
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