Hello!

I have a dataset which is perhaps rather topical at about this time:

> wc=read.delim("/home/openclive/Documents/worldcup.csv",header=T,sep="\t",fill=T)> head(wc,n=20)   team year time score out top goals host format formed culture wcups cholder times
1   ARG 1986    1     6   0   1     4    0      0   1893      93     8
      0     6
2   ARG 1990    2     5   1   0     1    0      0   1893      97     9
      0     6
3   ARG 1994    3     1   1   0     3    0      0   1893     101    10
      1     6
4   ARG 1998    4     2   1   1     7    0      1   1893     105    11
      0     6
5   ARG 2006    6     2   1   1     7    0      1   1893     113    13
      0     6
6   ARG 2010    7     2   1   1     6    0      1   1893     117    14
      0     6
7   AUS 2006    6     1   1   0     0    0      1   1961      45     1
      1     1
8   BEL 1986    1     3   1   0     0    0      0   1895      91     6
      0     4
9   BEL 1990    2     1   1   0     3    0      0   1895      95     7
      0     4
10  BEL 1994    3     1   1   0     1    0      0   1895      99     8
      0     4
11  BEL 2002    5     1   1   0     1    0      1   1895     107     9
      0     4
12  BRA 1986    1     2   1   1     5    0      0   1914      72    12
      0     7
13  BRA 1990    2     1   1   1     3    0      0   1914      76    13
      1     7
14  BRA 1994    3     6   0   1     5    0      0   1914      80    14
      0     7
15  BRA 1998    4     5   1   1     3    0      1   1914      84    15
      1     7
16  BRA 2002    5     6   0   1     8    0      1   1914      88    16
      0     7
17  BRA 2006    6     2   1   1     6    0      1   1914      92    17
      1     7
18  BRA 2010    7     2   1   1     3    0      1   1914      96    18
      0     7
19  BUL 1986    1     1   1   0    -2    0      0   1923      63     4
      0     2
20  BUL 1994    3     3   1   0     3    0      0   1923      71     5
      0     2
   cards       gdp
1     12  6146.155
2     25  5800.057
3      9  7162.093
4     14  7994.116
5     15  8107.975
6      7  9933.229
7     12  9933.229
8      8 16273.539
9      3 18222.221
10     6 18964.370
11     6 22801.777
12     3  3334.000
13     7  3564.636
14    11  3380.128
15    12  3693.276
16    10  3692.840
17    11  3976.619
18    13  4424.759
19     3  1508.592
20    25  1438.153


Don't worry about they all denote; I merely show it to you for the purposes
of demonstration. Basically, I want to expand the dataset on the value of
the -score- variable in order to prepare the data for survival analysis.
Thus, where Argentina achieved a score of 6 in 1986, I want R to create
five additional records. Where Bulgaria achieved a score of 3 in 1994, I
want it to create two additional records. Rows containing scores of 1
shouldn't create any extra records at all.

Doing this should be straightforward, but the -expand- command in the
-reshape- package doesn't appear to do this ... unless I've missed
something or there is another command from another package that does what I
need.

I'd be most grateful if anybody has a solution to this.

-- 
Clive Nicholas

"My colleagues in the social sciences talk a great deal about methodology.
I prefer to call it style." -- Freeman J. Dyson

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