有一个数据集,其中前行和后行的特征值为零。如何以优雅的方式删除此类行?
# Library
library(tidyverse)
# 1. Input
data.frame(
id = c(1:10),
value = c(0, 0, 1, 3, 0, 1, 2, 8, 9, 0))
# 2. Delete leading and trimming rows with 'value = 0'
# ...
# 3. Desired outcome
data.frame(
id = c(3:9),
value = c(1, 3, 0, 1, 2, 8, 9))
Run Code Online (Sandbox Code Playgroud)
谢谢。
一个选择是
library(dplyr)
df1 %>%
filter( cumsum(value) > 0 & rev(cumsum(rev(value)) > 0))
# id value
#1 3 1
#2 4 3
#3 5 0
#4 6 1
#5 7 2
#6 8 8
#7 9 9
Run Code Online (Sandbox Code Playgroud)