I can't think how to do this in a tidy fashion.
I have a table as follows:
tibble(
Min = c(1, 5, 12, 13, 19),
Max = c(3, 11, 12, 14, 19),
Value = c("a", "bb", "c", "d", "e" )
)
and I want to generate another table from it as shown below
tibble(
Row = c(1:3, 5:11, 12:12, 13:14, 19:19),
Value = c( rep("a", 3), rep("bb", 7), "c", "d", "d", "e" )
)
Grateful for any suggestions folk might have. The only 'solutions' which come to mind are a bit cumbersome.
1) If DF is the input then:
library(dplyr)
DF %>%
group_by(Value) %>%
group_modify(~ tibble(Row = seq(.$Min, .$Max))) %>%
ungroup
giving:
# A tibble: 14 x 2
Value Row
<chr> <int>
1 a 1
2 a 2
3 a 3
4 bb 5
5 bb 6
6 bb 7
7 bb 8
8 bb 9
9 bb 10
10 bb 11
11 c 12
12 d 13
13 d 14
14 e 19
2) This one creates a list column L containing tibbles and then unnests it. Duplicate Value
elements are ok with this one.
library(dplyr)
library(tidyr)
DF %>%
rowwise %>%
summarize(L = list(tibble(Value, Row = seq(Min, Max)))) %>%
ungroup %>%
unnest(L)