R help - Jun 2009 - meaning of glm(value ~ .,

I am trying to build a glm model with many inputs.
I saw the following code in Rattle
crs$glm <- glm(value ~ ., data=crs$dataset[,c(1:59,922)],
family=binomial(link="logit"))

I am not clear about what 

value ~ .

means and also, I see 

data=crs$dataset[,c(1:59,922)] 

I have read that the data argument is optional here
"an optional data frame, list or environment (or object coercible by
as.data.frame to a data frame) containing the variables in the model. If not
found in data, the variables are taken from environment(formula), typically
the environment from which glm is called"

when they say "data", is that meant to include the dependent variable
as
well. In other words,
in the above statement 'value' is the dependent variable and it is also
column 922 in the data set.
Is this correct?
correct
Thank you.

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On Fri, 2009-06-19 at 06:00 -0700, onyourmark wrote:
> I am trying to build a glm model with many inputs.
> I saw the following code in Rattle
> crs$glm <- glm(value ~ ., data=crs$dataset[,c(1:59,922)],
> family=binomial(link="logit"))
> 
> I am not clear about what 
> 
> value ~ .
From ?formula

     There are two special interpretations of '.' in a formula.  The
     usual one is in the context of a 'data' argument of model fitting
     functions and means 'all columns not otherwise in the formula':
     see 'terms.formula'.  In the context of 'update.formula',
*only*,
     it means 'what was previously in this part of the formula'.

> 
> means and also, I see 
> 
> data=crs$dataset[,c(1:59,922)] 
> 
> I have read that the data argument is optional here
> "an optional data frame, list or environment (or object coercible by
> as.data.frame to a data frame) containing the variables in the model. If
not
> found in data, the variables are taken from environment(formula), typically
> the environment from which glm is called"
> 
> when they say "data", is that meant to include the dependent
variable as
> well. In other words,
> in the above statement 'value' is the dependent variable and it is
also
> column 922 in the data set.
The variables in the formula will be looked up within 'data' and then on
from there (that is, the environment o the formula), but you can't
assume from that code alone that column 922 is the response variable
'value' or indeed that it is any of the variables in 'data' as
'value'
could occur in the environment of the formula, which is often, but not
always, the global workspace.

HTH

G
> Is this correct?
> correct
> Thank you.
> 
-- 
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On Jun 19, 2009, at 9:00 AM, onyourmark wrote:
>
> I am trying to build a glm model with many inputs.
> I saw the following code in Rattle
> crs$glm <- glm(value ~ ., data=crs$dataset[,c(1:59,922)],
> family=binomial(link="logit"))
>
> I am not clear about what
>
> value ~ .
Generally the "." in a formula indicates all of the remaining  
variables without interactions.

?"formula"   # although I did not find that particular convention  
documented in a cursory review of that page .
>
> means and also, I see
>
> data=crs$dataset[,c(1:59,922)]
>
> I have read that the data argument is optional here
> "an optional data frame, list or environment (or object coercible by
> as.data.frame to a data frame) containing the variables in the  
> model. If not
> found in data, the variables are taken from environment(formula),  
> typically
> the environment from which glm is called"
>
> when they say "data", is that meant to include the dependent  
> variable as
> well.
Yes.
> In other words,
> in the above statement 'value' is the dependent variable and it is
> also
> column 922 in the data set.
> Is this correct?
Yes.
> correct
> Thank you.
>
> -- 

David Winsemius, MD
Heritage Laboratories
West Hartford, CT