通常,只要它们来自数据框中的连续行,我如何根据相同的因子进行分组?例如,我希望下面有test
所需的good_output
。
test <- data.frame(time = 1:10, letter = c("a","a","a","b","a","a","a","b","b","b"))
bad_output <- test %>% group_by(letter) %>% summarize(mean_time = mean(time))
bad_output
# A tibble: 2 x 2
letter mean_time
<fct> <dbl>
1 a 4
2 b 7.75
good_output <- data.frame(letter=c("a","b","a","b"), id=c(1,1,2,2), mean_time=c(2,4,6,9))
good_output
letter id mean_time
1 a 1 2
2 b 1 4
3 a 2 6
4 b 2 9
我们可以在"字母"上做一个分组,在"字母"上做一个组(rleid
从data.table
开始),summarise
得到"时间"的mean
,用row_number()
创建序列列并选择"grp"列
library(dplyr)
library(data.table)
test %>%
group_by(letter, grp = rleid(letter)) %>%
summarise(mean_time = mean(time)) %>%
mutate(id = row_number()) %>%
ungroup %>%
select(-grp)
# A tibble: 4 x 3
# letter mean_time id
# <fct> <dbl> <int>
#1 a 2 1
#2 a 6 2
#3 b 4 1
#4 b 9 2