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\name{merge}\alias{merge}\alias{merge.default}\alias{merge.data.frame}\title{Merge Two Data Frames}\description{Merge two data frames by common columns or row names, or do otherversions of database \dQuote{join} operations.}\usage{merge(x, y, \dots)\method{merge}{default}(x, y, \dots)\method{merge}{data.frame}(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"), \dots)}\arguments{\item{x, y}{data frames, or objects to be coerced to one}\item{by, by.x, by.y}{specifications of the common columns. See Details.}\item{all}{logical; \code{all=L} is shorthand for \code{all.x=L} and\code{all.y=L}.}\item{all.x}{logical; if \code{TRUE}, then extra rows will be added tothe output, one for each row in \code{x} that has no matching row in\code{y}. These rows will have \code{NA}s in those columns that areusually filled with values from \code{y}. The default is\code{FALSE}, so that only rows with data from both \code{x} and\code{y} are included in the output.}\item{all.y}{logical; analogous to \code{all.x} above.}\item{sort}{logical. Should the results be sorted on the \code{by}columns?}\item{suffixes}{character(2) specifying the suffixes to be used formaking non-\code{by} \code{names()} unique.}\item{\dots}{arguments to be passed to or from methods.}}\details{By default the data frames are merged on the columns with names theyboth have, but separate specifications of the columns can be given by\code{by.x} and \code{by.y}. Columns can be specified by name, numberor by a logical vector: the name \code{"row.names"} or the number\code{0} specifies the row names. The rows in the two data framesthat match on the specified columns are extracted, and joinedtogether. If there is more than one match, all possible matchescontribute one row each.\crIf the \code{by.*} vectors are of length 0, the result, \code{r}, is the\dQuote{Cartesian product} of \code{x} and \code{y}, i.e.,\code{dim(r) = c(nrow(x)*nrow, ncol(x) + ncol(y))}.If \code{all.x} is true, all the non matching cases of \code{x} areappended to the result as well, with \code{NA} filled in thecorresponding columns of \code{y}; analogously for \code{all.y}.If the remaining columns in the data frames have any common names,these have \code{suffixes} (\code{".x"} and \code{".y"} by default)appended to make the names of the result unique.}\value{A data frame. The rows are by default lexicographically sorted on thecommon columns, but are otherwise in the order in which they occurredin \code{y}. The columns are the common columns followed by theremaining columns in \code{x} and then those in \code{y}. If thematching involved row names, an extra column \code{Row.names} is addedat the left, and in all cases the result has no special row names.}\seealso{\code{\link{data.frame}},\code{\link{by}},\code{\link{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)}\keyword{array}\keyword{manip}