## S3 method for class 'CrunchDataset,character,missing,CrunchVariable':
[[(x, i) <- value## S3 method for class 'CrunchDataset,ANY,missing,CrunchVariable':
[[(x, i) <- value
## S3 method for class 'CrunchDataset,character,missing,ANY':
[[(x, i) <- value
## S3 method for class 'CrunchDataset,character,missing,CrunchLogicalExpr':
[[(x, i) <- value
## S3 method for class 'CrunchDataset,ANY,ANY,ANY':
[[(x, i) <- value
## S3 method for class 'CrunchDataset,character,missing,`NULL`':
[[(x, i) <- value
## S3 method for class 'CrunchDataset,ANY,missing,`NULL`':
[[(x, i) <- value
## S3 method for class 'CrunchDataset':
$(x, name) <- value
## S3 method for class 'CrunchDataset,ANY,missing,list':
[(x, i, j) <- value
## S3 method for class 'CrunchDataset,CrunchExpr,ANY,ANY':
[(x, i, j) <- value
[
, a CrunchLogicalExpr
, numeric, or logical
vector defining a subset of the rows of x
. For [[
, see
j
for the as.list column subsetting.crunchExpr
s
or R vectors of the corresponding typej
but for $
options(crunch.namekey.dataset="name")
to use variable names); if numeric or
logical, extracts variables accordingly. Note that this is the as.list
extractx
, modified.