WebDec 30, 2015 · 11. Looks like this has been fixed in the development version of tidyr. You now get the expected result per id using fill from tidyr_0.3.1.9000. df %>% group_by (id) %>% fill (email) Source: local data frame [6 x 2] Groups: id [3] id email (dbl) (fctr) 1 1 [email protected] 2 1 [email protected] 3 2 [email protected] 4 2 [email protected] 5 3 NA 6 3 … WebUsing complete from the tidyr package should work. You can find documentation about it here.. What probably happened is that you did not remove the grouping. Then complete tries to add each of the combinations of YEAR and Region within each group. But all these combinations are already in the grouping.
Grouped data • dplyr - Tidyverse
Web如何从purrr:：map2获得“整洁”的结果？,r,tidyr,purrr,broom,R,Tidyr,Purrr,Broom,给定包含两个不同变量重复测量值的数据框，即A1、A2、B1、B2 如何使用函数式编程原理在相同变量的前、后对其进行迭代，并获得一个整洁的结果？ Web比较dplyr:：do/purrr:：map，有什么优势？,r,dplyr,tidyr,broom,R,Dplyr,Tidyr,Broom tuko tk cr5
Complete column with group_by and complete - Stack Overflow
Webexpand() generates all combination of variables found in a dataset. It is paired with nesting() and crossing() helpers.crossing() is a wrapper around expand_grid() that de-duplicates and sorts its inputs; nesting() is a helper that only finds combinations already present in the data. expand() is often useful in conjunction with joins: use it with right_join() to convert implicit … Web如何从purrr:：map2获得“整洁”的结果？,r,tidyr,purrr,broom,R,Tidyr,Purrr,Broom,给定包含两个不同变量重复测量值的数据框，即A1、A2、B1、B2 如何使用函数式编程原理在相同 … WebIn group_by(), variables or computations to group by. Computations are always done on the ungrouped data frame. Computations are always done on the ungrouped data frame. To … summarise() creates a new data frame. It returns one row for each combination of … Arguments src. A data source... Other arguments passed on to the individual … tukuna project