> (2) Suppose I have variable no of datasets 'say n = 10'. I wish to write a
> loop assigning each of these datasets to diffrent csv files e.g.
>
> for (i in 1:10)
> {
> write.csv(data.frame(dataset[,,i]), 'data_set[i].csv', row.names = FALSE)
> }
>
> The result of this command is generation of a csv file 'data_set[i].csv'
> containing the last dataset (owing to the wrong command written by me).
>
> What I need is creation of say data_set[1].csv, data_set[2].csv,
> .........data_set[10].csv i.e. 10 different csv files containing 10 different
> datasets.
Why do you want to create csv datasets? They lose much of the
structure that is in the R object.
If you are trying to transfer them to somewhere else, then a direct
transfer would be a better choice.
If the goal is Excel, there are about 5 options. I prefer RExcel
because it allows the tightest
coordination of the R and the Excel calculations.
If the goal is one of the other popular statistical systems, they also
have direct connections,
often through the foreign package.
Rich
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