R包含条件和重置的累积和

Question

我有一个由-1s和1s组成的信号位置指示器矢量。另外，我还有一些要基于Signal值求和的体数据。基本数据表如下所示：

df <- cbind(Signal, Volume)
head(df, 20)

           Signal    Volume
2016-01-04     NA  37912403
2016-01-05     -1  23258238
2016-01-06     -1  25096183
2016-01-07     -1  45172906
2016-01-08     -1  35402298
2016-01-11     -1  29932385
2016-01-12     -1  28395390
2016-01-13     -1  33410553
2016-01-14     -1  48658623
2016-01-15      1  46132781
2016-01-19      1  30998256
2016-01-20     -1  59051429
2016-01-21      1  30518939
2016-01-22      1  30495387
2016-01-25      1  32482015
2016-01-26     -1  26877080
2016-01-27     -1  58699359
2016-01-28      1 107475327
2016-01-29      1  62739548
2016-02-01      1  46132726

我想实现的是（不使用for循环）生成一个cum Volume的矢量，每次信号改变时都会重置。此外，音量值应乘以信号值，即，当信号为-1时，应将-Volume加到当前的cum Volume。基于类似的问题，我尝试了

ave(df$a, cumsum(c(F, diff(sign(diff(df$a))) != 0)*df$Volume), FUN=seq_along) 

会产生正确的信号分组，但由于某种原因未包括音量。没有重置，解决方案就相当简单（张贴在SO上）

require(data.table)
DT <- data.table(dt)
DT[, Cum.Sum := cumsum(Volume), by=Signal]

有谁知道dplyr或data.table类型的解决方案，用于重置和调整总和？谢谢。

Answer 1

这可以通过以下方式实现：

library(tidyverse)
library(data.table)     

z %>%
  group_by(rleid(Signal)) %>% #advance value every time Signal changes and group by that
  mutate(cum = Signal*cumsum(Volume)) %>% #cumsum in each group
  ungroup() %>% #ungroup so you could remove the grouping column
  select(-4) #remove grouping column

或不data.table使用rle：

z %>%
  mutate(rl = rep(1:length(rle(Signal)$length), times = rle(Signal)$length)) %>%
  group_by(rl) %>%
  mutate(cum = Signal*cumsum(Volume)) %>%
  ungroup() %>%
  select(-4)

#output
    date       Signal    Volume        cum

  <fct>       <int>     <int>      <int>
 1 2016-01-04     NA  37912403         NA
 2 2016-01-05    - 1  23258238 - 23258238
 3 2016-01-06    - 1  25096183 - 48354421
 4 2016-01-07    - 1  45172906 - 93527327
 5 2016-01-08    - 1  35402298 -128929625
 6 2016-01-11    - 1  29932385 -158862010
 7 2016-01-12    - 1  28395390 -187257400
 8 2016-01-13    - 1  33410553 -220667953
 9 2016-01-14    - 1  48658623 -269326576
10 2016-01-15      1  46132781   46132781
11 2016-01-19      1  30998256   77131037
12 2016-01-20    - 1  59051429 - 59051429
13 2016-01-21      1  30518939   30518939
14 2016-01-22      1  30495387   61014326
15 2016-01-25      1  32482015   93496341
16 2016-01-26    - 1  26877080 - 26877080
17 2016-01-27    - 1  58699359 - 85576439
18 2016-01-28      1 107475327  107475327
19 2016-01-29      1  62739548  170214875
20 2016-02-01      1  46132726  216347601

数据：

z <- read.table(text =      "date     Signal    Volume
           2016-01-04     NA  37912403
           2016-01-05     -1  23258238
           2016-01-06     -1  25096183
           2016-01-07     -1  45172906
           2016-01-08     -1  35402298
           2016-01-11     -1  29932385
           2016-01-12     -1  28395390
           2016-01-13     -1  33410553
           2016-01-14     -1  48658623
           2016-01-15      1  46132781
           2016-01-19      1  30998256
           2016-01-20     -1  59051429
           2016-01-21      1  30518939
           2016-01-22      1  30495387
           2016-01-25      1  32482015
           2016-01-26     -1  26877080
           2016-01-27     -1  58699359
           2016-01-28      1 107475327
           2016-01-29      1  62739548
           2016-02-01      1  46132726", header = T)