John Mount shows off the `match_order`

function in wrapr:

Often we wish to work with such data aligned so each row in

`d2`

has the same`idx`

value as the same row (by row order) as`d1`

. This is an important data wrangling task, so there are many ways to achieve it in R, such as`base::merge()`

,`dplyr::left_join()`

, or by sorting both tables into the same order and then using`base::cbind()`

.However if you wish to preserve the order of the first table (which may not be sorted), you need one more trick.

Click through to see that one additional trick.

Kevin Feasel

2018-04-12

R