I am getting confused in how to use R effectively. Below is the example that I
would like to optimize, which is basically a loop. In its current version it
takes about 20 seconds to run. I have looked at the apply function and but
didn't seem to get it to work. I am sure this is relatively easy to show me a
better version for someone who has done this before. For some reason I seem to
have trouble getting my head around this.
#----------------------------------
#Create the example data
dDates <- seq(from=as.Date("1990-01-01"), by="day", length.out=10000);
xtsHold <- xts(rep(0, times=10000), order.by=dDates);
xtsBuy <- xts(sample(0:1,10000,replace=T), order.by=dDates);
xtsSell <- xts(sample(0:1,10000,replace=T), order.by=dDates);
print(Sys.time())
#Run the inefficient calculation
for (i in 2:length(xtsHold)){
xtsHold[i] <- xtsHold[i-1] + xtsBuy[i-1] - xtsSell[i-1];
}
print(Sys.time())#----------------------------------
Thank you very much in advance!
Best regards,
Wolfgang Wu
More effective calculation for loop
3 messages · Wolfgang Wu, John Kane, Joshua Ulrich
What is xts? What package?
--- On Fri, 5/13/11, Wolfgang Wu <wobwu22 at yahoo.de> wrote:
From: Wolfgang Wu <wobwu22 at yahoo.de>
Subject: [R] More effective calculation for loop
To: R-help at r-project.org
Received: Friday, May 13, 2011, 5:32 AM
I am getting confused in how to use R
effectively. Below is the example that I
would like to optimize, which is basically a loop. In its
current version it
takes? about 20 seconds to run. I have looked at the
apply function and but
didn't seem to get it to work. I am sure this is relatively
easy to show me a
better version for someone who has done this before. For
some reason I seem to
have trouble getting my head around this.
#----------------------------------
#Create the example data
dDates <- seq(from=as.Date("1990-01-01"), by="day",
length.out=10000);
xtsHold <- xts(rep(0, times=10000), order.by=dDates);
xtsBuy <- xts(sample(0:1,10000,replace=T),
order.by=dDates);
xtsSell <- xts(sample(0:1,10000,replace=T),
order.by=dDates);
print(Sys.time())
#Run the inefficient calculation
for (i in 2:length(xtsHold)){
xtsHold[i] <- xtsHold[i-1] + xtsBuy[i-1] -
xtsSell[i-1];
}
print(Sys.time())#----------------------------------
Thank you very much in advance!
Best regards,
Wolfgang Wu
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
On Fri, May 13, 2011 at 4:32 AM, Wolfgang Wu <wobwu22 at yahoo.de> wrote:
I am getting confused in how to use R effectively. Below is the example that I
would like to optimize, which is basically a loop. In its current version it
takes ?about 20 seconds to run. I have looked at the apply function and but
didn't seem to get it to work. I am sure this is relatively easy to show me a
better version for someone who has done this before. For some reason I seem to
have trouble getting my head around this.
#----------------------------------
#Create the example data
dDates <- seq(from=as.Date("1990-01-01"), by="day", length.out=10000);
xtsHold <- xts(rep(0, times=10000), order.by=dDates);
xtsBuy <- xts(sample(0:1,10000,replace=T), order.by=dDates);
xtsSell <- xts(sample(0:1,10000,replace=T), order.by=dDates);
print(Sys.time())
#Run the inefficient calculation
for (i in 2:length(xtsHold)){
xtsHold[i] <- xtsHold[i-1] + xtsBuy[i-1] - xtsSell[i-1];
}
print(Sys.time())#----------------------------------
Use a vectorized solution instead: xtsHold2 <- lag(xtsBuy)-lag(xtsSell) xtsHold2[1] <- 0 xtsHold2 <- cumsum(xtsHold2) identical(xtsHold, xtsHold2)
Thank you very much in advance! Best regards, Wolfgang Wu
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
-- Joshua Ulrich | FOSS Trading: www.fosstrading.com