merge {base} | R Documentation

## Merge Two Data Frames

### Description

Merge two data frames by common columns or row names, or do other versions of database “join” operations.

### Usage

    merge(x, y, ...)

    ## Default S3 method:
    merge(x, y, ...)

    ## S3 method for class 'data.frame':
    merge(x, y, by = intersect(names(x), names(y)),
          by.x = by, by.y = by, all = FALSE, all.x = all, all.y = all,
          sort = TRUE, suffixes = c(".x",".y"), ...)

### Arguments

`x, y` | data frames, or objects to be coerced to one
`by, by.x, by.y` | specifications of the common columns. See Details.
`all` | logical; `all=L` is shorthand for `all.x=L` and `all.y=L`.
`all.x` | logical; if `TRUE`, then extra rows will be added to the output, one for each row in `x` that has no matching row in `y`. These rows will have `NA`s in those columns that are usually filled with values from `y`. The default is `FALSE`, so that only rows with data from both `x` and `y` are included in the output.
`all.y` | logical; analogous to `all.x` above.
`sort` | logical. Should the results be sorted on the `by` columns?
`suffixes` | character(2) specifying the suffixes to be used for making non-`by` `names()` unique.
`...` | arguments to be passed to or from methods.

### Details

By default the data frames are merged on the columns with names they both have, but separate specifications of the columns can be given by `by.x` and `by.y`. Columns can be specified by name, number or by a logical vector: the name `"row.names"` or the number `0` specifies the row names. The rows in the two data frames that match on the specified columns are extracted, and joined together. If there is more than one match, all possible matches contribute one row each.

If `by` or both `by.x` and `by.y` are of length 0 (a length zero vector or `NULL`), the result, `r`, is the “Cartesian product” of `x` and `y`, i.e., `dim(r) = c(nrow(x)*nrow(y), ncol(x) + ncol(y))`.

If `all.x` is true, all the non matching cases of `x` are appended to the result as well, with `NA` filled in the corresponding columns of `y`; analogously for `all.y`.

If the remaining columns in the data frames have any common names, these have `suffixes` (`".x"` and `".y"` by default) appended to make the names of the result unique.

### Value

A data frame. The rows are by default lexicographically sorted on the common columns, but are otherwise in the order in which they occurred in `y`. The columns are the common columns followed by the remaining columns in `x` and then those in `y`. If the matching involved row names, an extra column `Row.names` is added at the left, and in all cases the result has no special row names.

### See Also

`data.frame`, `by`, `cbind`

### Examples

    authors <- data.frame(
        surname = c("Tukey", "Venables", "Tierney", "Ripley", "McNeil"),
        nationality = c("US", "Australia", "US", "UK", "Australia"),
        deceased = c("yes", rep("no", 4)))
    books <- data.frame(
        name = c("Tukey", "Venables", "Tierney",
                 "Ripley", "Ripley", "McNeil", "R Core"),
        title = c("Exploratory Data Analysis",
                  "Modern Applied Statistics ...",
                  "LISP-STAT",
                  "Spatial Statistics", "Stochastic Simulation",
                  "Interactive Data Analysis",
                  "An Introduction to R"),
        other.author = c(NA, "Ripley", NA, NA, NA, NA,
                         "Venables & Smith"))

    (m1 <- merge(authors, books, by.x = "surname", by.y = "name"))
    (m2 <- merge(books, authors, by.x = "name", by.y = "surname"))
    stopifnot(as.character(m1[,1]) == as.character(m2[,1]),
              all.equal(m1[, -1], m2[, -1][ names(m1)[-1] ]),
              dim(merge(m1, m2, by = integer(0))) == c(36, 10))

    ## "R core" is missing from authors and appears only here :
    merge(authors, books, by.x = "surname", by.y = "name", all = TRUE)

[Package base version 2.3.1 Index]