Help using mapply to run multiple models
On Dec 19, 2013, at 11:30 AM, David Winsemius wrote:
On Dec 19, 2013, at 11:10 AM, William Dunlap wrote:
call[[1]] <- quote(modelType) # '
makes call[[1]] the same as as.name("modelType"). You want
as.name(modelType).
Just so I can see if I understand ... that is because `as.name` will evaluate `modelType` whereas as.name("modelType") would look for the function `modelType` and not find such a name in the namespace? So modelType needs to be a language-object and `f` needs to be called with:
f(glm, ....) rather than f("glm", ...)
Reading `?as.name` (again) I've decided that must be wrong. either one should return the same value if teh argument is first converted to a character value.
David.
>
>
>>
>> Bill Dunlap
>> Spotfire, TIBCO Software
>> wdunlap tibco.com
>>
>>
>>> -----Original Message-----
>>> From: Simon Kiss [mailto:sjkiss at gmail.com]
>>> Sent: Thursday, December 19, 2013 10:56 AM
>>> To: William Dunlap
>>> Cc: Dennis Murphy; r-help at r-project.org
>>> Subject: Re: [R] Help using mapply to run multiple models
>>>
>>> Hello Bill, that is fantastic and it's quite a bit above what I could write. Is there a way to
>>> make the model type an argument to the function so that you can specify whether one is
>>> running glm, lm and such?
>>> I tried to modify it by inserting an argument modelType below, but that doesn't work.
>>> Yours, simon Kiss
>>>> f <- function (modelType, responseName, predictorNames, data, ..., envir =
>>> parent.frame())
>>>> {
>>>> call <- match.call()
>>>> call$formula <- formula(envir = envir, paste(responseName, sep = " ~ ",
>>>> paste0("`", predictorNames, "`", collapse = " + ")))
>>>> call[[1]] <- quote(modelType) # '
>>>> call$responseName <- NULL # omit responseName=
>>>> call$predictorNames <- NULL # omit 'predictorNames='
>>>> eval(call, envir = envir)
>>>> }
>>> On 2013-12-18, at 3:07 PM, William Dunlap <wdunlap at tibco.com> wrote:
>>>
>>>> f <- function (responseName, predictorNames, data, ..., envir = parent.frame())
>>>> {
>>>> call <- match.call()
>>>> call$formula <- formula(envir = envir, paste(responseName, sep = " ~ ",
>>>> paste0("`", predictorNames, "`", collapse = " + ")))
>>>> call[[1]] <- quote(glm) # 'f' -> 'glm'
>>>> call$responseName <- NULL # omit responseName=
>>>> call$predictorNames <- NULL # omit 'predictorNames='
>>>> eval(call, envir = envir)
>>>> }
>>>> as in
>>>> z <- lapply(list(c("hp","drat"), c("cyl"), c("am","gear")), FUN=function(preds)f("carb",
>>> preds, data=mtcars, family=poisson))
>>>> lapply(z, summary)
>>>
David Winsemius
Alameda, CA, USA