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.
:56 AM
To: William Dunlap
Cc: Dennis Murphy; r-help@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
-
From: Simon Kiss [mailto:sjk...@gmail.com]
Sent: Thursday, December 19, 2013 10:56 AM
To: William Dunlap
Cc: Dennis Murphy; r-help@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
, December 19, 2013 10:56 AM
To: William Dunlap
Cc: Dennis Murphy; r-help@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
wdunlap tibco.com
-Original Message-
From: Simon Kiss [mailto:sjk...@gmail.com]
Sent: Thursday, December 19, 2013 10:56 AM
To: William Dunlap
Cc: Dennis Murphy; r-help@r-project.org
Subject: Re: [R] Help using mapply to run multiple models
Hello Bill, that is fantastic
:31 AM
To: William Dunlap
Cc: Simon Kiss; r-help@r-project.org
Subject: Re: [R] Help using mapply to run multiple models
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
Hi there: Just to tie this altogether.
Here is the final function
f- function (modelType, responseName, predictorNames, data, ..., envir =
parent.frame())
{
call - match.call()
call$formula - formula(envir = envir, paste(responseName, sep = ~ ,
(...)
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
-Original Message-
From: Simon Kiss [mailto:sjk...@gmail.com]
Sent: Thursday, December 19, 2013 1:49 PM
To: William Dunlap
Cc: Dennis Murphy; r-help@r-project.org
Subject: Re: [R] Help using mapply to run multiple models
Thanks! that works, more or less. Although the wonky behaviour of mapply that
David pointed out is irritating. I tried deleting the $call item from the
models produced and passing them to stargazer for reporting the results, but
stargazer won't recognize the results even though the class is
Dennis, how would your function be modified to allow it to be more flexible in
future.
I'm thinking like:
f - function(x='Dependent variable', y='List of Independent Variables',
z='Data Frame')
{
form - as.formula(paste(x, y, sep = ~ ))
glm(form, data =z)
}
I tried that then using
Folks:
1. Haven't closely followed the thread. I'm responding only to Simon's post.
2. ?formula ## Especially note the use of .
So just make an appropriately constructed data frame for the data
argument of glm:
## example
df - data.frame(y=rnorm(9),x1=runif(9), x2=1:9)
glm(y~.,data=df)
## y
Subject: Re: [R] Help using mapply to run multiple models
Dennis, how would your function be modified to allow it to be more flexible
in future.
I'm thinking like:
f - function(x='Dependent variable', y='List of Independent Variables',
z='Data Frame')
{
form - as.formula(paste(x, y, sep
I think I'm missing something. I have a data frame that looks below.
sample.df-data.frame(var1=rbinom(50, size=1, prob=0.5), var2=rbinom(50,
size=2, prob=0.5), var3=rbinom(50, size=3, prob=0.5), var4=rbinom(50, size=2,
prob=0.5), var5=rbinom(50, size=2, prob=0.5))
I'd like to run a series of
On Dec 17, 2013, at 5:53 PM, Simon Kiss wrote:
I think I'm missing something. I have a data frame that looks below.
sample.df-data.frame(var1=rbinom(50, size=1, prob=0.5), var2=rbinom(50,
size=2, prob=0.5), var3=rbinom(50, size=3, prob=0.5), var4=rbinom(50, size=2,
prob=0.5),
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