I think this works, at least for your example data. The function SSRuns gets
the index values of the starting points and then finds the first ending point
that is greater or equal. Then we cycle through the starting points and print
the index values from start to stop. Those are combined into a single vector
which is used to create each column of the mask for the data.
SSRuns <- function(x, y, rows) {
a <- which(x>0)
b <- which(y>0)
d <- unlist(lapply(seq_along(a), function(i)
a[i]:head(b[a[i] <= b], 1)))
v <- rep(0, rows)
v[d] <- 1
return(v)
}
mask <- sapply(StartSignals[,-1], SSRuns, y=StopSignals$Stop,
rows=nrow(MainData))
Results <- data.frame(Date=MainData$Date, MainData[,-1]*mask)
Results
Date X1 X2 X3 X4 X5
1 2014-01-01 0.00 0.00 0.00 0.00 0.00
2 2014-01-02 0.00 1.51 0.00 0.00 1.24
3 2014-01-03 0.00 0.09 0.20 0.00 0.30
4 2014-01-04 0.00 0.00 0.00 0.00 0.00
5 2014-01-05 1.04 0.00 0.00 0.00 1.23
6 2014-01-06 0.00 0.00 0.76 0.00 0.00
7 2014-01-07 0.00 0.00 1.22 0.66 0.00
8 2014-01-08 0.00 0.00 0.27 0.09 0.00
9 2014-01-09 0.00 0.00 0.00 0.00 0.00
10 2014-01-10 0.00 0.00 1.68 0.98 0.00
11 2014-01-11 0.43 0.00 1.98 1.46 0.00
12 2014-01-12 1.51 0.78 1.63 0.46 1.84
13 2014-01-13 0.26 0.34 0.34 0.97 1.13
David C
-----Original Message-----
From: Pooya Lalehzari [mailto:plalehz...@platinumlp.com]
Sent: Tuesday, October 7, 2014 8:06 PM
To: David L Carlson
Subject: RE: [R] Conditional Data Manipulation -Cumulative Product
Hi David,
I also made a dput of the Expected Results in case if you want to read it in:
> dput(ExpResults)
structure(list(Date = c("1/1/2014", "1/2/2014", "1/3/2014", "1/4/2014",
"1/5/2014", "1/6/2014", "1/7/2014", "1/8/2014", "1/9/2014", "1/10/2014",
"1/11/2014", "1/12/2014", "1/13/2014"), X1 = c(0, 0, 0, 0, 1.04, 0, 0, 0, 0, 0,
0.43, 0.65, 0.17), X2 = c(0, 1.51, 0.14, 0, 0, 0, 0, 0, 0, 0, 0, 0.78, 0.27),
X3 = c(0, 0, 0.2, 0, 0, 0.76, 0.93, 0.25, 0, 1.68, 3.33, 5.42, 1.84), X4 = c(0,
0, 0, 0, 0, 0, 0.66, 0.06, 0, 0.98, 1.43, 0.66, 0.64), X5 = c(0, 1.24, 0.37, 0,
1.23, 0, 0, 0, 0, 0, 0, 1.84, 2.08)), .Names = c("Date", "X1", "X2", "X3",
"X4", "X5"), class = "data.frame", row.names = c(NA,
-13L))
-----Original Message-----
From: David L Carlson [mailto:dcarl...@tamu.edu]
Sent: Tuesday, October 07, 2014 5:03 PM
To: Pooya Lalehzari
Cc: R help
Subject: RE: [R] Conditional Data Manipulation -Cumulative Product
More clear to read, but this is much easier to load into R. Then adding
StartSignals$Date <- as.Date(StartSignals$Date, "%m/%d/%Y") MainData$Date <-
as.Date(MainData$Date, "%m/%d/%Y") StopSignals$Date <-
as.Date(StopSignals$Date, "%m/%d/%Y")
Creates date objects out of the character strings.
But what should the final result look like? For example X1 has two start dates,
"2014-01-05" and "2014-01-11" and you have stop dates of "2014-01-03",
"2014-01-05", "2014-01-08", and "2014-01-13". So for X1 "2014-01-05" is both a
start and stop date (value 1.04) and the second start/end would be "2014-01-11"
to "2014-01-13" (values .43, 1.51, .26). What do you mean by compounding?
David C
-----Original Message-----
From: Pooya Lalehzari [mailto:plalehz...@platinumlp.com]
Sent: Tuesday, October 7, 2014 2:59 PM
To: David L Carlson
Subject: RE: [R] Conditional Data Manipulation -Cumulative Product
Dear David,
This is the dput output but I think the previous email had it more clearly.
> dput(StartSignals)
structure(list(Date = c("1/1/2014", "1/2/2014", "1/3/2014", "1/4/2014",
"1/5/2014", "1/6/2014", "1/7/2014", "1/8/2014", "1/9/2014", "1/10/2014",
"1/11/2014", "1/12/2014", "1/13/2014"), X1 = c(0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L,
0L, 0L, 1L, 0L, 0L), X2 = c(0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L,
0L), X3 = c(0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L), X4 = c(0L, 0L,
0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 0L, 0L), X5 = c(0L, 1L, 0L, 0L, 1L, 0L, 0L,
0L, 0L, 0L, 0L, 1L, 0L)), .Names = c("Date", "X1", "X2", "X3", "X4", "X5"),
class = "data.frame", row.names = c(NA, -13L))
> dput(MainData)
structure(list(Date = c("1/1/2014", "1/2/2014", "1/3/2014", "1/4/2014",
"1/5/2014", "1/6/2014", "1/7/2014", "1/8/2014", "1/9/2014", "1/10/2014",
"1/11/2014", "1/12/2014", "1/13/2014"), X1 = c(1.92, 0.67, 1.09, 1.81, 1.04,
1.69, 1.57, 0.5, 0, 1.31, 0.43, 1.51, 0.26), X2 = c(1.38, 1.51, 0.09, 1.33,
0.38, 1.12, 1.3, 1.75, 1.26, 1.57, 1.63, 0.78, 0.34), X3 = c(0.83, 1.21, 0.2,
1.57, 1.72, 0.76, 1.22, 0.27, 0.59, 1.68, 1.98, 1.63, 0.34), X4 = c(1.25, 0.06,
1.62, 1.68, 1.98, 1.45, 0.66, 0.09, 0.4, 0.98, 1.46, 0.46, 0.97), X5 = c(1.12,
1.24, 0.3, 1.41, 1.23, 1.99, 1.75, 1.91, 1.81, 1.79, 0.81, 1.84, 1.13)), .Names
= c("Date", "X1", "X2", "X3", "X4", "X5"), class = "data.frame", row.names =
c(NA,
-13L))
> dput(StopSignals)
structure(list(Date = c("1/1/2014", "1/2/2014", "1/3/2014", "1/4/2014",
"1/5/2014", "1/6/2014", "1/7/2014", "1/8/2014", "1/9/2014", "1/10/2014",
"1/11/2014", "1/12/2014", "1/13/2014"), Stop = c(0L, 0L, 1L, 0L, 1L, 0L, 0L,
1L, 0L, 0L, 0L, 0L, 1L)), .Names = c("Date", "Stop"), class = "data.frame",
row.names = c(NA, -13L))
-----Original Message-----
From: David L Carlson [mailto:dcarl...@tamu.edu]
Sent: Tuesday, October 07, 2014 3:13 PM
To: Pooya Lalehzari; R help
Subject: RE: [R] Conditional Data Manipulation -Cumulative Product
You need to use plain text, not html in your email. Your data are scrambled
(see below). It is better to send your data using the R dput() function:
dput(StartSignals)
dput(MainData)
dput(StopSignals)
-------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352
-----Original Message-----
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Pooya Lalehzari
Sent: Tuesday, October 7, 2014 11:55 AM
To: R help
Subject: [R] Conditional Data Manipulation -Cumulative Product
Hello,
I have three datasets StartSignals, MainData, StopSignals and need to compound
the data for each variable in MainData over dates that fall between the Start
and Stop signals. (Stop signals are common and the same to all X1:X5
variables). Please see sample below:
The one way I was thinking of doing this project was to setup a nested "FOR"
loop and go through the three data matrices. Is there a more elegant way of
doing this?
Thank you.
StartSignals:
Date
X1
X2
X3
X4
X5
1/1/2014
0
0
0
0
0
1/2/2014
0
1
0
0
1
1/3/2014
0
0
1
0
0
1/4/2014
0
0
0
0
0
1/5/2014
1
0
0
0
1
1/6/2014
0
0
1
0
0
1/7/2014
0
0
0
1
0
1/8/2014
0
0
0
0
0
1/9/2014
0
0
0
0
0
1/10/2014
0
0
1
1
0
1/11/2014
1
0
0
0
0
1/12/2014
0
1
0
0
1
1/13/2014
0
0
0
0
0
MainData:
Date
X1
X2
X3
X4
X5
1/1/2014
1.92
1.38
0.83
1.25
1.12
1/2/2014
0.67
1.51
1.21
0.06
1.24
1/3/2014
1.09
0.09
0.2
1.62
0.3
1/4/2014
1.81
1.33
1.57
1.68
1.41
1/5/2014
1.04
0.38
1.72
1.98
1.23
1/6/2014
1.69
1.12
0.76
1.45
1.99
1/7/2014
1.57
1.3
1.22
0.66
1.75
1/8/2014
0.5
1.75
0.27
0.09
1.91
1/9/2014
0
1.26
0.59
0.4
1.81
1/10/2014
1.31
1.57
1.68
0.98
1.79
1/11/2014
0.43
1.63
1.98
1.46
0.81
1/12/2014
1.51
0.78
1.63
0.46
1.84
1/13/2014
0.26
0.34
0.34
0.97
1.13
StopSignals:
Date
Stop
1/1/2014
0
1/2/2014
0
1/3/2014
1
1/4/2014
0
1/5/2014
1
1/6/2014
0
1/7/2014
0
1/8/2014
1
1/9/2014
0
1/10/2014
0
1/11/2014
0
1/12/2014
0
1/13/2014
1
ExpectedResult:
Date
X1
X2
X3
X4
X5
1/1/2014
0
0
0
0
0
1/2/2014
0
1.51
0
0
1.24
1/3/2014
0
0.14
0.2
0
0.37
1/4/2014
0
0
0
0
0
1/5/2014
1.04
0
0
0
1.23
1/6/2014
0
0
0.76
0
0
1/7/2014
0
0
0.93
0.66
0
1/8/2014
0
0
0.25
0.06
0
1/9/2014
0
0
0
0
0
1/10/2014
0
0
1.68
0.98
0
1/11/2014
0.43
0
3.33
1.43
0
1/12/2014
0.65
0.78
5.42
0.66
1.84
1/13/2014
0.17
0.27
1.84
0.64
2.08
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our new office at:
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250 West 55th Street, 14th Floor, New York, NY 10019
T: 212.582.2222 | F: 212.582.2424
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