Mark -
I believe
lapply(dd,function(m)eval(parse(text=m)))
will do what you want.
- Phil Spector
Statistical Computing Facility
Department of Statistics
UC Berkeley
spec...@stat.berkeley.edu
On Tue, 14 Dec 2010, Mark Na wrote:
Hi R-helpers,
I have a character object called dd that has 32 elements each of which
is a model formula contained within quotation marks. Here's what it
looks like:
dd
[1] "lm(y ~ 1,data=Cement)" "lm(y ~
X,data=Cement)" "lm(y ~ X1,data=Cement)"
[4] "lm(y ~ X2,data=Cement)" "lm(y ~
X3,data=Cement)" "lm(y ~ X4,data=Cement)"
[7] "lm(y ~ X + X1,data=Cement)" "lm(y ~ X +
X2,data=Cement)" "lm(y ~ X + X3,data=Cement)"
[10] "lm(y ~ X + X4,data=Cement)" "lm(y ~ X1 +
X2,data=Cement)" "lm(y ~ X1 + X3,data=Cement)"
[13] "lm(y ~ X1 + X4,data=Cement)" "lm(y ~ X2 +
X3,data=Cement)" "lm(y ~ X2 + X4,data=Cement)"
[16] "lm(y ~ X3 + X4,data=Cement)" "lm(y ~ X + X1 +
X2,data=Cement)" "lm(y ~ X + X1 + X3,data=Cement)"
[19] "lm(y ~ X + X1 + X4,data=Cement)" "lm(y ~ X + X2 +
X3,data=Cement)" "lm(y ~ X + X2 + X4,data=Cement)"
[22] "lm(y ~ X + X3 + X4,data=Cement)" "lm(y ~ X1 + X2 +
X3,data=Cement)" "lm(y ~ X1 + X2 + X4,data=Cement)"
[25] "lm(y ~ X1 + X3 + X4,data=Cement)" "lm(y ~ X2 + X3 +
X4,data=Cement)" "lm(y ~ X + X1 + X2 + X3,data=Cement)"
[28] "lm(y ~ X + X1 + X2 + X4,data=Cement)" "lm(y ~ X + X1 + X3 +
X4,data=Cement)" "lm(y ~ X + X2 + X3 + X4,data=Cement)"
[31] "lm(y ~ X1 + X2 + X3 + X4,data=Cement)" "lm(y ~ X + X1 + X2 +
X3 + X4,data=Cement)"
I would like to convert this object into a list called Cand.models
with 32 list elements each of which would contain one of the above
model formulae. When I print the list, the models should run, so the
first few elements of the list would look like this (see below output
from a list I created by hand).
Many thanks for any help you can provide!
Mark
Cand.models
[[1]]
Call:
lm(formula = y ~ 1, data = Cement)
Coefficients:
(Intercept)
95.42
[[2]]
Call:
lm(formula = y ~ X, data = Cement)
Coefficients:
(Intercept) X
82.308 1.874
[[3]]
Call:
lm(formula = y ~ X1, data = Cement)
Coefficients:
(Intercept) X1
81.479 1.869
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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.