R help - Jun 2000 - creating models from "Objects" in R's environment

Hi
  I'm trying to create Tree based models in R using the downloadable
package called "tree".

  It is mentioned in the R documentation that Objects are created and 
stored in the R environment by name.

So I have saved all the objects formed during the creation of a tree model
using the R command:

dump(objects(),"Z:\\Project\\Exammples\\Output\\outputTree.txt");

Here's a snapshot of the output file outputTree.txt:


"hc" <-
structure(list(merge = structure(c(-1, -10, -12, -14, -18, -20, 
-22, -24, -26, -28, -30, -33, -36, -38, -40, -42, -44, -49, -52, 
-54, -56, -58, -60, -62, -64, -66, -68, -72, -74, -77, -80, -84, 
-88, -90, -93, -3, -4, -5, -46, -51, -95, -16, -35, -71, -76, 
80, 76, 83, 81, 85, 82, 89, 86, 88, 91, 93), .Dim = c(94, 2)), 
    height = c(0.00099999999999989, 0.00099999999999989,
0.00099999999999989, 
    0.00099999999999989, 0.00099999999999989, 0.00099999999999989, 
    0.00099999999999989, 0.00099999999999989, 0.00099999999999989, 
    0.00099999999999989, 0.00099999999999989, 0.00099999999999989, 
    0.00099999999999989, 0.00099999999999989, 0.00099999999999989, 
    0.0389999999999997, 0.0539999999999998, 0.0943398113205659
    ), order = c(79, 82, 83, 84, 85, 77, 78, 80, 81, 86, 92, 
    95, 93, 94, 90, 91, 87, 88, 89, 56, 57, 58, 59, 60, 61, 62, 
    34, 24, 25, 26, 27, 32, 28, 29), labels = c("1", "2",
"3",
    "4", "5", "6", "7", "8",
"9", "10", "11", "12", "13",
"14",
  "85", "86", "87", "88",
"89", "90", "91", "92", "93",
"94",
    "95"), method = "complete", call = hclust(d =
dist(vegtest),
        method = "complete"), dist.method = "euclidean"),
.Names c("merge",
	"height", "order", "labels", "method",
"call", "dist.method"),
class = "hclust")
	"last.warning" <-
	structure(list("NAs introduced by coercion" = NULL), .Names =
"NAs
introduced by 	        

coercion")
	"v.tr" <-
	structure(list(frame = structure(list(var = structure(c(2, 1, 
	2, 2, 2, 1, 1, 2, 1, 1, 2, 1, 2, 2, 1, 1, 2, 1, 1), .Label
c("<leaf>",
	"Veg"), class = "factor"), n = c(95, 7, 88, 34, 22, 5, 17,
12,
	5, 7, 54, 5, 49, 23, 9, 14, 26, 7, 19), dev c(0.00174753684210526, 
.
..
....


After creating the models, one needs to analyse them with some new data.
Hence, I am now trying to analyze this model with a new set of data.

Is it possible in R to recreate the models by reading from the
"Object"
output file.
ie By reading from the above displayed file, can we recreate the tree
model ??

Any help/hints would be highly appreciated.

Thanks much 
Cheryl Fernandes

Cheryl Fernandes
Laboratory of Advanced Computing 
University of Illinois at Chicago.



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On Thu, 8 Jun 2000, Cheryl J Fernandes wrote:
> Hi
>   I'm trying to create Tree based models in R using the downloadable
> package called "tree".
> 
>   It is mentioned in the R documentation that Objects are created and 
> stored in the R environment by name.
> 
> So I have saved all the objects formed during the creation of a tree model
> using the R command:
> 
> dump(objects(),"Z:\\Project\\Exammples\\Output\\outputTree.txt");
> 
[..]
> Here's a snapshot of the output file outputTree.txt:
> After creating the models, one needs to analyse them with some new data.
> Hence, I am now trying to analyze this model with a new set of data.
> 
> Is it possible in R to recreate the models by reading from the
"Object"
> output file.
Eveything is possible in R: you can program a Turing machine in it
but you might need unlimited memory.
> ie By reading from the above displayed file, can we recreate the tree
> model ??
Yes, but to fit the *formula* to a new dataset (hence a *new* model) you
will need to use update.

I suggest you use save() not dump() to store objects.

-- 
Brian D. Ripley,                  ripley@stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272860 (secr)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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