When you combine PDF files with the Acrobat online tool, you can reorder, add, or delete files before you merge them into a single PDF. Sign in if you need to reorganize individual pages in your merged PDF. You can add, delete, move, or rotate PDF pages as needed until your content is in the desired order. How to merge data frames in the R programming language. More information: https://statisticsglobe.com/r-merging-data-frames-by-column-names-merge-functionThe.

merge is a generic function whose principal method is for data frames: the default method coerces its arguments to data frames and calls the 'data.frame' method.

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. 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. For the precise meaning of ‘match’, see match.

Columns to merge on can be specified by name, number or by a logical vector: the name 'row.names' or the number 0 specifies the row names. If specified by name it must correspond uniquely to a named column in the input.

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 columns in the data frames not used in merging have any common names, these have suffixes ('.x' and '.y' by default) appended to try to make the names of the result unique. If this is not possible, an error is thrown.

If a by.x column name matches one of y, and if no.dups is true (as by default), the y version gets suffixed as well, avoiding duplicate column names in the result.

The complexity of the algorithm used is proportional to the length of the answer.

In SQL database terminology, the default value of all = FALSE gives a natural join, a special case of an inner join. Specifying all.x = TRUE gives a left (outer) join, all.y = TRUE a right (outer) join, and both (all = TRUE) a (full) outer join. DBMSes do not match NULL records, equivalent to incomparables = NA in R.

R Merge Multiple Df


Merges variables from two data frames (DataX, DataY) by default or merges cases (if AddVars= FALSE). When mergeing variables, by default matches on row names but can use other variable names in DataX (ByX) and DataY (ByY) as needed. Also by default, includes all cases in DataX and DataY but can limit to only matching (AllX=FALSE, AllY=FALSE) or left join (AllY=FALSE) or right join (AllX=FALSE).

When merging cases, will add variables to DataX or DataY as needed and set added variables to NA



first data frame for merge

second data frame for merge

Name of variable in DataX to match cases on. Column can be specified by name or number. Default is 0 which uses rownames

Name of variable in DataY to match cases on. Column can be specified by name or number. Default is 0 which uses rownames

R Merge Df


logical; if TRUE, then extra rows will be added to the output, one for each row in DataX that has no matching row in DataY These rows will have NAs in those columns that are usually filled with values from dY. The default is TRUE, so that all rows with data from both dX and dY are included in the output. In other words, it is the union of these two dataframes

R Merge Df

analagous to AllX but for DataY

Default is to merge variables (columns). If FALSE will merge cases (rows)


Returns merged data frame


see merge() or rbind() for more details on merging variablesor cases, respectively.

See Also

merge(), rbind()

R Merge Df Worksheets


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