在r的标记列处重置的cumsum?

时间:2018-09-20 17:47:18

标签: r for-loop if-statement cumsum

这是我第一次问一个问题,所以请耐心等待。

我的数据集(df)如下:

animal   azimuth   south   distance
 pb1      187.561   1       1.992 
 pb1      147.219   1       8.567
 pb1      71.032    0       5.754
 pb1      119.502   1       10.451
 pb2      101.702   1       9.227
 pb2      85.715    0       8.821

我想创建一个附加列(df$cumdist),该列增加累计距离,但是要在每个单独的动物内并且仅在df$south==1时才可以。我想用df$south==0重设累计和。

这就是我想要的结果(手动完成):

animal   azimuth   south   distance  cumdist
 pb1      187.561   1       1.992     1.992
 pb1      147.219   1       8.567     10.559 
 pb1      71.032    0       5.754     0 
 pb1      119.502   1       10.451    10.451
 pb2      101.702   1       9.227     9.227 
 pb2      85.715    0       8.821     0

这是我尝试实现累加的代码:

swim.az$cumdist <- cumsum(ifelse(swim.az$south==1, swim.az$distance, 0))

尽管df$south==0时成功停止添加,但它不会重置。另外,我知道我需要将其嵌入for循环中以按动物子集化。

非常感谢!

2 个答案:

答案 0 :(得分:4)

我们将“ south”与“ distance”(“ cumdist”)相乘,以将“ south”中与“ 0”相对应的“ distance”中的值更改为0,并按“ animal”分组,并通过累积逻辑向量(south == 0)的总和,得到'cumdist'的cumsumungroup并删除不需要的列(grp

library(dplyr)
dfN %>% 
  mutate(cumdist = south * distance) %>%
  group_by(animal, grp = cumsum(south == 0)) %>%
  mutate(cumdist = cumsum(cumdist)) %>%
  ungroup %>%
  select(-grp)
# A tibble: 6 x 5
#  animal azimuth south distance cumdist
#  <chr>    <dbl> <int>    <dbl>   <dbl>
#1 pb1      188.      1     1.99    1.99
#2 pb1      147.      1     8.57   10.6 
#3 pb1       71.0     0     5.75    0   
#4 pb1      120.      1    10.5    10.5 
#5 pb2      102.      1     9.23    9.23
#6 pb2       85.7     0     8.82    0   

或使用base R

的类似方法
with(dfN, ave(distance * south, animal, cumsum(!south), FUN = cumsum))
#[1]  1.992 10.559  0.000 10.451  9.227  0.000

数据

dfN <- structure(list(animal = c("pb1", "pb1", "pb1", "pb1", "pb2", 
"pb2"), azimuth = c(187.561, 147.219, 71.032, 119.502, 101.702, 
85.715), south = c(1L, 1L, 0L, 1L, 1L, 0L), distance = c(1.992, 
8.567, 5.754, 10.451, 9.227, 8.821)), class = "data.frame", 
row.names = c(NA, -6L))

答案 1 :(得分:4)

library(data.table)
setDT(df)

df[, cumdist := south*cumsum(distance), .(animal, rleid(south))]

#    animal azimuth south distance cumdist
# 1:    pb1 187.561     1    1.992   1.992
# 2:    pb1 147.219     1    8.567  10.559
# 3:    pb1  71.032     0    5.754   0.000
# 4:    pb1 119.502     1   10.451  10.451
# 5:    pb2 101.702     1    9.227   9.227
# 6:    pb2  85.715     0    8.821   0.000