From bates@stat.wisc.edu  Mon Mar 23 15:15:05 1998
From: bates@stat.wisc.edu (Douglas Bates)
Date: Mon, 23 Mar 1998 09:15:05 -0600 (CST)
Subject: Placement of attributes
Message-ID: <m0yH8wL-0000YWC@verdi.stat.wisc.edu>

In preparing data sets for the lme library, I bring the data into R,
convert it to the groupedData class, which is an extension of the
data.frame class, and use "dump" to create an R-readable version.  
To cut down on the size of these files I convert the row.names
attribute from expressions like c("1", "2", ..., "54") to 1:54.

I have run into a curious problem that seems to related to the
position of the row.names attribute in the R-readable representation.
The following transcript was generated under R-0.61.1 on a Debian
Linux system.  I apologize for the length of the transcript.

R> print.groupedData
function (x, ...) 
{
        cat("Grouped Data: ")
        print(attr(x, "formula"))
        NextMethod("print", x, ...)
}
R> "Machines" <-
+   structure(list
+   (Worker = structure(ordered(c(4, 4, 4, 2, 2, 2, 
+      5, 5, 5, 3, 3, 3, 6, 6, 6, 1, 1, 1, 4, 4, 4, 2, 2, 2, 5, 5, 5, 
+      3, 3, 3, 6, 6, 6, 1, 1, 1, 4, 4, 4, 2, 2, 2, 5, 5, 5, 3, 3, 3, 
+      6, 6, 6, 1, 1, 1), levels=1:6), class = c("ordered", "factor"),
+      .Label = c("6", "2", "4", "1", "3", "5")),
+    Machine = structure(factor(c(1, 
+      1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 
+      2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 
+      3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3), levels=1:3), class = "factor",
+      .Label = c("A", "B", "C")),
+    score = c(52, 52.8, 
+      53.1, 51.8, 52.8, 53.1, 60, 60.2, 58.4, 51.1, 52.3, 50.3, 50.9, 
+      51.8, 51.4, 46.4, 44.8, 49.2, 62.1, 62.6, 64, 59.7, 60, 59, 68.6, 
+      65.8, 69.7, 63.2, 62.8, 62.2, 64.8, 65, 65.4, 43.7, 44.2, 43, 
+      67.5, 67.2, 66.9, 61.5, 61.7, 62.3, 70.8, 70.6, 71, 64.1, 66.2, 
+      64, 72.1, 72, 71.1, 62, 61.4, 60.5)),
+ class = c("nffGroupedData", "nfGroupedData", "groupedData", "data.frame"),
+ row.names = 1:54,
+ formula = score ~ 1 | Worker,
+ labels = list(y = "Productivity score"),
+ inner = ~ Machine)
R> Machines
Grouped Data: score ~ 1 | Worker
   Worker Machine score
1       1       A  52.0
2       1       A  52.8
3       1       A  53.1
4       2       A  51.8
5       2       A  52.8
6       2       A  53.1
7       3       A  60.0
8       3       A  60.2
9       3       A  58.4
10      4       A  51.1
11      4       A  52.3
12      4       A  50.3
13      5       A  50.9
14      5       A  51.8
15      5       A  51.4
16      6       A  46.4
17      6       A  44.8
18      6       A  49.2
19      1       B  62.1
20      1       B  62.6
21      1       B  64.0
22      2       B  59.7
23      2       B  60.0
24      2       B  59.0
25      3       B  68.6
26      3       B  65.8
27      3       B  69.7
28      4       B  63.2
29      4       B  62.8
30      4       B  62.2
31      5       B  64.8
32      5       B  65.0
33      5       B  65.4
34      6       B  43.7
35      6       B  44.2
36      6       B  43.0
37      1       C  67.5
38      1       C  67.2
39      1       C  66.9
40      2       C  61.5
41      2       C  61.7
42      2       C  62.3
43      3       C  70.8
44      3       C  70.6
45      3       C  71.0
46      4       C  64.1
47      4       C  66.2
48      4       C  64.0
49      5       C  72.1
50      5       C  72.0
51      5       C  71.1
52      6       C  62.0
53      6       C  61.4
54      6       C  60.5
R> "Machines" <-   # only change is position of "row.names" and "class" attributes
+   structure(list
+   (Worker = structure(ordered(c(4, 4, 4, 2, 2, 2, 
+      5, 5, 5, 3, 3, 3, 6, 6, 6, 1, 1, 1, 4, 4, 4, 2, 2, 2, 5, 5, 5, 
+      3, 3, 3, 6, 6, 6, 1, 1, 1, 4, 4, 4, 2, 2, 2, 5, 5, 5, 3, 3, 3, 
+      6, 6, 6, 1, 1, 1), levels=1:6), class = c("ordered", "factor"),
+      .Label = c("6", "2", "4", "1", "3", "5")),
+    Machine = structure(factor(c(1, 
+      1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 
+      2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 
+      3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3), levels=1:3), class = "factor",
+      .Label = c("A", "B", "C")),
+    score = c(52, 52.8, 
+      53.1, 51.8, 52.8, 53.1, 60, 60.2, 58.4, 51.1, 52.3, 50.3, 50.9, 
+      51.8, 51.4, 46.4, 44.8, 49.2, 62.1, 62.6, 64, 59.7, 60, 59, 68.6, 
+      65.8, 69.7, 63.2, 62.8, 62.2, 64.8, 65, 65.4, 43.7, 44.2, 43, 
+      67.5, 67.2, 66.9, 61.5, 61.7, 62.3, 70.8, 70.6, 71, 64.1, 66.2, 
+      64, 72.1, 72, 71.1, 62, 61.4, 60.5)),
+ row.names = 1:54,
+ class = c("nffGroupedData", "nfGroupedData", "groupedData", "data.frame"),
+ formula = score ~ 1 | Worker,
+ labels = list(y = "Productivity score"),
+ inner = ~ Machine)
R> Machines
Grouped Data: score ~ 1 | Worker

Process R segmentation fault at Mon Mar 23 09:14:43 1998
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Placement of attributes
Douglas Bates