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- data1 <- tibble(person = c("A","B","C"),
- test1 = as.factor(c(1,4,5)),
- test2 = c(14,25,10),
- test3 = c(12.5,16.0,4),
- test4 = c(16,23,21),
- test5 = as.factor(c(49,36,52)))
- data2 <- tibble(person = c("D","E","F"),
- test1 = c(8,7,2),
- test3 = c(6.5,12.0,19.5),
- test4 = as.factor(c(15,21,29)),
- test5 = as.factor(c(54,51,36)),
- test6 = c(32,32,29),
- test7 = c(13,11,10))
- all_data <- dplyr::bind_rows(data1,data2)
- # A tibble: 6 x 8
- person test1 test2 test3 test4 test5 test6 test7
- <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
- 1 A 1 14 12.5 16 49 NA NA
- 2 B 4 25 16.0 23 36 NA NA
- 3 C 5 10 4.0 21 52 NA NA
- 4 D 8 NA 6.5 15 54 32 13
- 5 E 7 NA 12.0 21 51 32 11
- 6 F 2 NA 19.5 29 36 29 10
- Error in bind_rows_(x, .id) : Column `test1` can't be converted from factor to numeric
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