Help using mapply to run multiple models

               call[[1]] <- quote(modelType) # '

-----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)

*********************************
Simon J. Kiss, PhD
Assistant Professor, Wilfrid Laurier University
73 George Street
Brantford, Ontario, Canada
N3T 2C9
Cell: +1 905 746 7606