R: Special symbols

special-symbols {data.table} | R Documentation

## Special symbols

### Description

`.SD`, `.BY`, `.N`, `.I` and `.GRP` are read only symbols for use in `j`. `.N` can be used in `i` as well. See the vignettes and examples here and in `data.table`.

### Details

The bindings of these variables are locked and attempting to assign to them will generate an error. If you wish to manipulate `.SD` before returning it, take a `copy(.SD)` first (see FAQ 4.5). Using `:=` in the `j` of `.SD` is reserved for future use as a (tortuously) flexible way to update `DT` by reference by group (even when groups are not contiguous in an ad hoc by).

These symbols are used in `j` and defined as follows.

- `.SD` is a `data.table` containing the Subset of `x`'s Data for each group, excluding any columns used in `by` (or `keyby`).

- `.BY` is a `list` containing a length 1 vector for each item in `by`. This can be useful when `by` is not known in advance. The `by` variables are also available to `j` directly by name; useful for example for titles of graphs if `j` is a plot command, or to branch with `if()` depending on the value of a group variable.

- `.N` is an integer, length 1, containing the number of rows in the group. This may be useful when the column names are not known in advance and for convenience generally. When grouping by `i`, `.N` is the number of rows in `x` matched to, for each row of `i`, regardless of whether `nomatch` is `NA` or `0`. It is renamed to `N` (no dot) in the result (otherwise a column called `".N"` could conflict with the `.N` variable, see FAQ 4.6 for more details and example), unless it is explicitly named; e.g., `DT[,list(total=.N),by=a]`.

- `.I` is an integer vector equal to `seq_len(nrow(x))`. While grouping, it holds for each item in the group, its row location in `x`. This is useful to subset in `j`; e.g. `DT[, .I[which.max(somecol)], by=grp]`.

- `.GRP` is an integer, length 1, containing a simple group counter. 1 for the 1st group, 2 for the 2nd, etc.

### See Also

`data.table`, `:=`, `set`, `datatable-optimize`

### Examples

    ## Not run:
    DT = data.table(x=rep(c("b","a","c"),each=3), v=c(1,1,1,2,2,1,1,2,2), y=c(1,3,6), a=1:9, b=9:1)
    DT
    X = data.table(x=c("c","b"), v=8:7, foo=c(4,2))
    X

    DT[.N]                                 # last row, only special symbol allowed in 'i'
    DT[, .N]                               # total number of rows in DT
    DT[, .N, by=x]                         # number of rows in each group
    DT[, .SD, .SDcols=x:y]                 # select columns 'x' and 'y'
    DT[, .SD[1]]                           # first row of all columns
    DT[, .SD[1], by=x]                     # first row of 'y' and 'v' for each group in 'x'
    DT[, c(.N, lapply(.SD, sum)), by=x]    # get rows *and* sum columns 'v' and 'y' by group
    DT[, .I[1], by=x]                      # row number in DT corresponding to each group
    DT[, .N, by=rleid(v)]                  # get count of consecutive runs of 'v'
    DT[, c(.(y=max(y)), lapply(.SD, min)),
            by=rleid(v), .SDcols=v:b]      # compute 'j' for each consecutive runs of 'v'
    DT[, grp := .GRP, by=x]                # add a group counter
    X[, DT[.BY, y, on="x"], by=x]          # join within each group

    ## End(Not run)

[Package data.table version 1.11.8 Index]