I have a signal position indicator vector consisting out of -1s and 1s. In addition, I have volume data which I want to sum based on the value of Signal. The basic data tabl
This can be achieved by:
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
or without data.table
by using 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
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
data:
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)