R-beta: read.table and large datasets

[Rick White]

I find that read.table cannot handle large datasets. Suppose data is a
40000 x 6 dataset

R -v 100

x_read.table("data")  gives
Error: memory exhausted
but
x_as.data.frame(matrix(scan("data"),byrow=T,ncol=6))
works fine.

read.table is less typing ,I can include the variable names in the first
line and in Splus executes faster. Is there a fix for read.table on the
way?


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