Re: [R] Multiple left hand side variables in a formula
On Fri, 1 Mar 2013, Frank Harrell wrote:
Thank you Bill. A temporary re-arrangement of the formula will allow me to
do the usual subset= na.action= processing afterwards. Nice idea. I don't
need the dot notation very often for this application.
That's what the Formula package provides. It allows for multiple parts
and multiple responses on both side of the ~. Internally, the formula is
decomposed and separate terms are produced. And using an auxiliary formula
it is assured that a single model frame (with unified NA processing). And
all of this is hidden from the user by providing methods that are as
standard as possible, see:
vignette(Formula, package = Formula)
hth,
Z
Frank
William Dunlap wrote
I don't know how much of the information that model.frame supplies you
need,
but you could make a data.frame containing all the variables on both sides
of them
formula by changing lhs~rhs into ~lhs+rsh before calling model.frame.
E.g.,
f - function (formula) {
if (length(formula) == 3) { # has left hand side
envir - environment(formula)
formula - formula(call(~, call(+, formula[[2]],
formula[[3]])))
environment(formula) - envir
}
formula
}
This doesn't quite take care of the wild-card dot in the formula: straight
variables are omitted from dot's expansion but functions of variables are
not:
colnames(model.frame(f(log(mpg)+hp ~ .), data=mtcars))
[1] log(mpg) hp mpg cyl
[5] disp drat wt qsec
[9] vs am gear carb
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
-Original Message-
From:
r-help-bounces@
[mailto:
r-help-bounces@
] On Behalf
Of Frank Harrell
Sent: Friday, March 01, 2013 4:17 PM
To:
r-help@
Subject: [R] Multiple left hand side variables in a formula
The lattice package uses special logic to allow for multiple
left-hand-side
variables in a formula, e.g. y1 + y2 ~ x. Is there an elegant way to do
this outside of lattice? I'm trying to implement a data summarization
function that logically takes multiple dependent variables. The usual
invocation of model.frame( ) causes R to try to do arithmetic addition to
create a single dependent variable.
Thanks
Frank
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context:
http://r.789695.n4.nabble.com/Multiple-left-hand-side-
variables-in-a-formula-tp4660060.html
Sent from the R help mailing list archive at Nabble.com.
__
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mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
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http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
__
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mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context:
http://r.789695.n4.nabble.com/Multiple-left-hand-side-variables-in-a-formula-tp4660060p4660065.html
Sent from the R help mailing list archive at Nabble.com.
__
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
__
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] Multiple left hand side variables in a formula
Achim this is perfect. I had not seen Formula before. Thanks for writing
it!
Frank
Achim Zeileis-4 wrote
On Fri, 1 Mar 2013, Frank Harrell wrote:
Thank you Bill. A temporary re-arrangement of the formula will allow me
to
do the usual subset= na.action= processing afterwards. Nice idea. I
don't
need the dot notation very often for this application.
That's what the Formula package provides. It allows for multiple parts
and multiple responses on both side of the ~. Internally, the formula is
decomposed and separate terms are produced. And using an auxiliary formula
it is assured that a single model frame (with unified NA processing). And
all of this is hidden from the user by providing methods that are as
standard as possible, see:
vignette(Formula, package = Formula)
hth,
Z
Frank
William Dunlap wrote
I don't know how much of the information that model.frame supplies you
need,
but you could make a data.frame containing all the variables on both
sides
of them
formula by changing lhs~rhs into ~lhs+rsh before calling model.frame.
E.g.,
f - function (formula) {
if (length(formula) == 3) { # has left hand side
envir - environment(formula)
formula - formula(call(~, call(+, formula[[2]],
formula[[3]])))
environment(formula) - envir
}
formula
}
This doesn't quite take care of the wild-card dot in the formula:
straight
variables are omitted from dot's expansion but functions of variables
are
not:
colnames(model.frame(f(log(mpg)+hp ~ .), data=mtcars))
[1] log(mpg) hp mpg cyl
[5] disp drat wt qsec
[9] vs am gear carb
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
-Original Message-
From:
r-help-bounces@
[mailto:
r-help-bounces@
] On Behalf
Of Frank Harrell
Sent: Friday, March 01, 2013 4:17 PM
To:
r-help@
Subject: [R] Multiple left hand side variables in a formula
The lattice package uses special logic to allow for multiple
left-hand-side
variables in a formula, e.g. y1 + y2 ~ x. Is there an elegant way to
do
this outside of lattice? I'm trying to implement a data summarization
function that logically takes multiple dependent variables. The usual
invocation of model.frame( ) causes R to try to do arithmetic addition
to
create a single dependent variable.
Thanks
Frank
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context:
http://r.789695.n4.nabble.com/Multiple-left-hand-side-
variables-in-a-formula-tp4660060.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@
mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
__
R-help@
mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context:
http://r.789695.n4.nabble.com/Multiple-left-hand-side-variables-in-a-formula-tp4660060p4660065.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@
mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
__
R-help@
mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context:
http://r.789695.n4.nabble.com/Multiple-left-hand-side-variables-in-a-formula-tp4660060p4660080.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] Multiple left hand side variables in a formula
Hi Gabor, This is not for a regression function but for a major update I'm working on for the summary.formula function in the Hmisc package. So I need to handle several data types in the formula. Thanks Frank Gabor Grothendieck wrote Gabor Grothendieck wrote On Fri, Mar 1, 2013 at 7:16 PM, Frank Harrell lt; f.harrell@ gt; wrote: The lattice package uses special logic to allow for multiple left-hand-side variables in a formula, e.g. y1 + y2 ~ x. Is there an elegant way to do this outside of lattice? I'm trying to implement a data summarization function that logically takes multiple dependent variables. The usual invocation of model.frame( ) causes R to try to do arithmetic addition to create a single dependent variable. Try: lm( cbind(Sepal.Length, Sepal.Width) ~., iris) On Fri, Mar 1, 2013 at 8:02 PM, Frank Harrell lt; f.harrell@ gt; wrote: Thanks for your reply Gabor. That doesn't handle a mixture of factor and numeric variables on the left hand side. Frank It can handle 2 level factors lm(cbind(Sepal.Length, setosa = Species == setosa) ~ ., iris) and more with some manual effort: lm(cbind(virginica = Species == virginica, setosa = Species == setosa) ~ ., iris) Typically you don't see more than that as a dependent variable. Do you actually need more? -- Statistics Software Consulting GKX Group, GKX Associates Inc. tel: 1-877-GKX-GROUP email: ggrothendieck at gmail.com __ R-help@ mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. - Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context: http://r.789695.n4.nabble.com/Multiple-left-hand-side-variables-in-a-formula-tp4660060p4660081.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Multiple left hand side variables in a formula
The lattice package uses special logic to allow for multiple left-hand-side variables in a formula, e.g. y1 + y2 ~ x. Is there an elegant way to do this outside of lattice? I'm trying to implement a data summarization function that logically takes multiple dependent variables. The usual invocation of model.frame( ) causes R to try to do arithmetic addition to create a single dependent variable. Thanks Frank - Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context: http://r.789695.n4.nabble.com/Multiple-left-hand-side-variables-in-a-formula-tp4660060.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Multiple left hand side variables in a formula
On Fri, Mar 1, 2013 at 7:16 PM, Frank Harrell f.harr...@vanderbilt.edu wrote: The lattice package uses special logic to allow for multiple left-hand-side variables in a formula, e.g. y1 + y2 ~ x. Is there an elegant way to do this outside of lattice? I'm trying to implement a data summarization function that logically takes multiple dependent variables. The usual invocation of model.frame( ) causes R to try to do arithmetic addition to create a single dependent variable. Try: lm( cbind(Sepal.Length, Sepal.Width) ~., iris) -- Statistics Software Consulting GKX Group, GKX Associates Inc. tel: 1-877-GKX-GROUP email: ggrothendieck at gmail.com __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Multiple left hand side variables in a formula
I don't know how much of the information that model.frame supplies you need,
but you could make a data.frame containing all the variables on both sides of
them
formula by changing lhs~rhs into ~lhs+rsh before calling model.frame. E.g.,
f - function (formula) {
if (length(formula) == 3) { # has left hand side
envir - environment(formula)
formula - formula(call(~, call(+, formula[[2]], formula[[3]])))
environment(formula) - envir
}
formula
}
This doesn't quite take care of the wild-card dot in the formula: straight
variables are omitted from dot's expansion but functions of variables are
not:
colnames(model.frame(f(log(mpg)+hp ~ .), data=mtcars))
[1] log(mpg) hp mpg cyl
[5] disp drat wt qsec
[9] vs am gear carb
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf
Of Frank Harrell
Sent: Friday, March 01, 2013 4:17 PM
To: r-help@r-project.org
Subject: [R] Multiple left hand side variables in a formula
The lattice package uses special logic to allow for multiple left-hand-side
variables in a formula, e.g. y1 + y2 ~ x. Is there an elegant way to do
this outside of lattice? I'm trying to implement a data summarization
function that logically takes multiple dependent variables. The usual
invocation of model.frame( ) causes R to try to do arithmetic addition to
create a single dependent variable.
Thanks
Frank
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context:
http://r.789695.n4.nabble.com/Multiple-left-hand-side-
variables-in-a-formula-tp4660060.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] Multiple left hand side variables in a formula
Thanks for your reply Gabor. That doesn't handle a mixture of factor and numeric variables on the left hand side. Frank Gabor Grothendieck wrote On Fri, Mar 1, 2013 at 7:16 PM, Frank Harrell lt; f.harrell@ gt; wrote: The lattice package uses special logic to allow for multiple left-hand-side variables in a formula, e.g. y1 + y2 ~ x. Is there an elegant way to do this outside of lattice? I'm trying to implement a data summarization function that logically takes multiple dependent variables. The usual invocation of model.frame( ) causes R to try to do arithmetic addition to create a single dependent variable. Try: lm( cbind(Sepal.Length, Sepal.Width) ~., iris) -- Statistics Software Consulting GKX Group, GKX Associates Inc. tel: 1-877-GKX-GROUP email: ggrothendieck at gmail.com __ R-help@ mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. - Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context: http://r.789695.n4.nabble.com/Multiple-left-hand-side-variables-in-a-formula-tp4660060p4660062.html Sent from the R help mailing list archive at Nabble.com. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Re: [R] Multiple left hand side variables in a formula
Thank you Bill. A temporary re-arrangement of the formula will allow me to
do the usual subset= na.action= processing afterwards. Nice idea. I don't
need the dot notation very often for this application.
Frank
William Dunlap wrote
I don't know how much of the information that model.frame supplies you
need,
but you could make a data.frame containing all the variables on both sides
of them
formula by changing lhs~rhs into ~lhs+rsh before calling model.frame.
E.g.,
f - function (formula) {
if (length(formula) == 3) { # has left hand side
envir - environment(formula)
formula - formula(call(~, call(+, formula[[2]],
formula[[3]])))
environment(formula) - envir
}
formula
}
This doesn't quite take care of the wild-card dot in the formula: straight
variables are omitted from dot's expansion but functions of variables are
not:
colnames(model.frame(f(log(mpg)+hp ~ .), data=mtcars))
[1] log(mpg) hp mpg cyl
[5] disp drat wt qsec
[9] vs am gear carb
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
-Original Message-
From:
r-help-bounces@
[mailto:
r-help-bounces@
] On Behalf
Of Frank Harrell
Sent: Friday, March 01, 2013 4:17 PM
To:
r-help@
Subject: [R] Multiple left hand side variables in a formula
The lattice package uses special logic to allow for multiple
left-hand-side
variables in a formula, e.g. y1 + y2 ~ x. Is there an elegant way to do
this outside of lattice? I'm trying to implement a data summarization
function that logically takes multiple dependent variables. The usual
invocation of model.frame( ) causes R to try to do arithmetic addition to
create a single dependent variable.
Thanks
Frank
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context:
http://r.789695.n4.nabble.com/Multiple-left-hand-side-
variables-in-a-formula-tp4660060.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@
mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
__
R-help@
mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
-
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context:
http://r.789695.n4.nabble.com/Multiple-left-hand-side-variables-in-a-formula-tp4660060p4660065.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Re: [R] Multiple left hand side variables in a formula
Gabor Grothendieck wrote On Fri, Mar 1, 2013 at 7:16 PM, Frank Harrell lt; f.harrell@ gt; wrote: The lattice package uses special logic to allow for multiple left-hand-side variables in a formula, e.g. y1 + y2 ~ x. Is there an elegant way to do this outside of lattice? I'm trying to implement a data summarization function that logically takes multiple dependent variables. The usual invocation of model.frame( ) causes R to try to do arithmetic addition to create a single dependent variable. Try: lm( cbind(Sepal.Length, Sepal.Width) ~., iris) On Fri, Mar 1, 2013 at 8:02 PM, Frank Harrell f.harr...@vanderbilt.edu wrote: Thanks for your reply Gabor. That doesn't handle a mixture of factor and numeric variables on the left hand side. Frank It can handle 2 level factors lm(cbind(Sepal.Length, setosa = Species == setosa) ~ ., iris) and more with some manual effort: lm(cbind(virginica = Species == virginica, setosa = Species == setosa) ~ ., iris) Typically you don't see more than that as a dependent variable. Do you actually need more? -- Statistics Software Consulting GKX Group, GKX Associates Inc. tel: 1-877-GKX-GROUP email: ggrothendieck at gmail.com __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
