bd.filter.rows

["Gareth Williams" <garethdaviswilliams@hotmail.com>]

Dear S-users,

I would like to filter the rows of a big data frame object according to 
whether they appear in the rows of a data frame object. For instance,
x <- bdFrame(a=rep(1:10,2), b=runif(1:20))

and

y <- data.frame(a=c(1,4,6))

I want to select the rows of x according to whether x$a appears in y$a. I 
think this is
newdata <- bd.filter.rows(list(x, y), "in1$a==in2$a")

However, rather than getting a new data frame with 6 rows I get one with 1 
row.
Does anyone know how to achieve the appropriate data frame, e.g. something 
like
  a                   b
1  1 0.375442212
4  4 0.783326366
6  6 0.836408332
11  1 0.912288268
14  4 0.348985139
16  6 0.858758209

Thanks for any help in advance.

Regards,
Gareth

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