我的df看起来是这样的:
我想得到所有的名字,其中至少有两个连续出现1。
在这种情况下,我只想回到B,C,D,F。
有办法这样做吗?
发布于 2018-06-01 14:00:09
通过使用lag
,这只适用于连续的2次,如果需要增加限制,可以检查akrun's answer
s=df$Name[apply(df[,c(2:6)],1,function(x) any((lag(x)==x)&x==1))]
s[!is.na(s)]
[1] "B" "C" "D" "F"
发布于 2018-06-01 13:51:01
我们可以循环遍历行,使用rle
(查找是否有连续的元素)并创建一个逻辑索引来子集“名称”
df1$Name[apply(df1[-1], 1, function(x) {
rl <- rle(x==1)
any(rl$lengths[rl$values]>=2)})]
#[1] "B" "C" "D" "F"
一种更快速的方法可能是对每一行中的元素进行paste
,然后使用regex查找来查找1后面是否有1
df1$Name[grepl("(?<=1)1", do.call(paste0, df1[-1]), perl = TRUE)]
#[1] "B" "C" "D" "F"
数据
df1 <- structure(list(Name = c("A", "B", "C", "D", "E", "F"), `2000` = c(1L,
0L, 1L, 1L, 0L, 0L), `2001` = c(0L, 0L, 1L, 1L, 1L, 1L), `2002` = c(0L,
1L, 0L, 1L, 0L, 0L), `2003` = c(1L, 1L, 0L, 1L, 1L, 1L), `2004` = c(0L,
0L, 1L, 1L, 0L, 1L), `2005` = c(1L, 1L, 1L, 0L, 1L, 1L)), .Names = c("Name",
"2000", "2001", "2002", "2003", "2004", "2005"), class = "data.frame",
row.names = c(NA, -6L))
发布于 2018-06-01 15:01:23
使用zoo::rollapply
的选项:
library(zoo)
#One can increase the n for 3, 4 etc consecutive values
# For consecutive 2 values
n =2
df1[apply(df1[-1], 1, function(x)
length(which(rollapply(x, width=n, function(x)all(x==rep(1,n)), align = "left")))>0),1]
#[1] "B" "C" "D" "F"
https://stackoverflow.com/questions/50644876
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