It is poor analytical design to keep duplicates. If they are not duplicates
then there should be a distinguishing additional column. IMO you should
re-think your analysis rather than accomplish this short-term goal only to find
down the road that this duplication causes future problems.
On July 2, 2021 3:27:21 PM PDT, Yuan Chun Ding <ycd...@coh.org> wrote:
>Hi R users,
>
>In this test file,
>test <- data.frame(group1=c("g1", "g1", "g1", "g2", "g2", "g2", "g2",
>"g2", "g2"),
> group2=c("k1", "a2", "a2", "c5", "n6", "n6", "n6", "m10","m10"),
> count= c( 1, 1, 2, 1, 2, 2, 2, 3, 3 ));
>
>I have group 1 and group2 variable and want to add the count variable
>to sequentially count unique rows defined by group1 and group2.
>
>I hope to use the following functions in library (tidyverse), No one
>worked well.
>test %>% group_by(group1, group2) %>% mutate(count = row_number())
>test %>% group_by(group1, group2) %>% mutate(count = 1:n())
>test %>% group_by(group1, group2) %>% mutate(count = seq_len(n()))
>test %>% group_by(group1, group2) %>% mutate(count = seq_along(group1,
>group2))
>
>Can you help me to make the third column in the test data frame?
>
>Thank you,
>
>Ding
>
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