structure(list(group = c(17L, 17L, 17L, 18L, 18L, 18L, 18L, 19L,
19L, 19L, 20L, 20L, 20L, 21L, 21L, 22L, 23L, 24L, 25L, 25L, 25L,
26L, 27L, 27L, 27L, 28L), var = c(74L, 49L, 1L, 74L, 1L, 49L,
61L, 49L, 1L, 5L, 5L, 1L, 44L, 44L, 12L, 13L, 5L, 5L, 1L, 1L,
4L, 4L, 1L, 1L, 1L, 49L), first = c(0, 0, 1, 0, 1, 0, 0, 0, 1,
0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0)), .Names = c("group",
"var", "first"), class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA,
-26L))
使用前两列的数据,我想创建第三列(称为
first
),其中 first == 1
仅当 var == 1
第一次在一个小组中。换句话说,我想标记 group
中的第一个元素那个满足var == 1
.我怎么能在 dplyr
中做到这一点?当然group_by
应该使用,但接下来呢?
最佳答案
library(dplyr)
df$first = NULL
df %>%
group_by(group) %>%
mutate(first = as.numeric(row_number() == min(row_number()[var == 1]))) %>%
ungroup()
# # A tibble: 26 x 3
# group var first
# <int> <int> <dbl>
# 1 17 74 0
# 2 17 49 0
# 3 17 1 1
# 4 18 74 0
# 5 18 1 1
# 6 18 49 0
# 7 18 61 0
# 8 19 49 0
# 9 19 1 1
# 10 19 5 0
# # ... with 16 more rows
这个想法是标记最小行号,其中
var
= 1,在每个组内。这将返回一些警告,因为在某些组中没有
var
= 1 例。另一种选择是这样的:
library(dplyr)
df$first = NULL
# create row id
df$id = seq_along(df$group)
df %>%
filter(var == 1) %>% # keep cases where var = 1
distinct(group, .keep_all = T) %>% # keep distinct cases based on group
mutate(first = 1) %>% # create first column
right_join(df, by=c("id","group","var")) %>% # join back original dataset
mutate(first = coalesce(first, 0)) %>% # replace NAs with 0
select(-id) # remove row id
# # A tibble: 26 x 3
# group var first
# <int> <int> <dbl>
# 1 17 74 0
# 2 17 49 0
# 3 17 1 1
# 4 18 74 0
# 5 18 1 1
# 6 18 49 0
# 7 18 61 0
# 8 19 49 0
# 9 19 1 1
#10 19 5 0
# # ... with 16 more rows
关于r - 如何找到满足条件的组的第一个元素,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/52342744/