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Select first non-NA value using R

df<-data.frame(ID = c(1,1,1,2,3,3,3),
          test = c(NA, 5.5, 6.4, NA, 7.3, NA, 10.9))

I want to create a variable called "value", which is the first non-NA value for the test for each individual ID. For individual ID 2 who only has the NA, the value is NA.

The expected output is:

df<-data.frame(ID = c(1,1,1,2,3,3,3),
           test = c(NA, 5.5, 6.4, NA, 7.3, NA, 10.9),
           value = c(5.5, 5.5, 5.5, NA, 7.3, 7.3, 7.3))

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by (71.8m points)

We can use first on the non-NA elements after grouping

library(dplyr)
df <- df %>%
    group_by(ID) %>% 
    mutate(value = first(test[complete.cases(test)]))

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