merge {base}R Documentation

Merge Two Data Frames


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


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"), ...)


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 NAs 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.


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 the by.* vectors are of length 0, the result, r, is the “Cartesian product” of x and y, i.e., dim(r) = c(nrow(x)*nrow, 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.


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


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 ...",
              "Spatial Statistics", "Stochastic Simulation",
              "Interactive Data Analysis",
              "An Introduction to R"), = 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 2.1.0 Index]