[R] Conditional Data Manipulation -Cumulative Product

Tue Oct 7 23:03:16 CEST 2014

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:plalehzari at 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:dcarlson at 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-bounces at r-project.org [mailto:r-help-bounces at 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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