R Combine Multiple Rows Into One

Sql combine results into one row
Source: R/bind.r
  • Comments 9 date.posted latitude longitude rows (or 0-length row.names) This is just one method for merging multiple dataframes, and over at R-Bloggers you can find speed.
  • R makes it easy to combine multiple plots into one overall graph, using either the par or layout function. With the par function, you can include the option mfrow=c (nrows, ncols) to create a matrix of nrows x ncols plots that are filled in by row. Mfcol=c (nrows, ncols) fills in the matrix by columns.

A relatively new feature of Power Query that helps you concatenate, merge or combine multiple rows of data into a single value with just a few clicks.

This is an efficient implementation of the common pattern ofdo.call(rbind, dfs) or do.call(cbind, dfs) for binding manydata frames into one.



Data frames to combine.

Each argument can either be a data frame, a list that could be a dataframe, or a list of data frames.

When row-binding, columns are matched by name, and any missingcolumns will be filled with NA.

When column-binding, rows are matched by position, so all dataframes must have the same number of rows. To match by value, notposition, see mutate-joins.


Data frame identifier.

When .id is supplied, a new column of identifiers iscreated to link each row to its original data frame. The labelsare taken from the named arguments to bind_rows(). When alist of data frames is supplied, the labels are taken from thenames of the list. If no names are found a numeric sequence isused instead.


One of 'unique', 'universal', or'check_unique'. See vctrs::vec_as_names() for the meaning of theseoptions.


bind_rows() and bind_cols() return the same type asthe first input, either a data frame, tbl_df, or grouped_df.

R Combine Multiple Rows Into One Excel


The output of bind_rows() will contain a column if that columnappears in any of the inputs.


R Combine Multiple Rows Into One Row In Excel

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.

Sql combine results into one row

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.