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Hi,
I am looking to perform a kernel density analysis in R, following the script that a friend of mine is using successfully. However, unlike for her, when I enter >kud<-kernelUD(data, h="LSCV"), R crashes and closes every time. This does not happen when I perform a different kernel analysis (>kud<-kernelUD(data)).. I have tried to un-install and re-install R, but it still crashes.. The script I am using is as follows: library(adehabitatHR) library(maptools) data<-read.csv("sa 4 trips 13F.csv") xy = data[c("X", "Y")] id<-data[,c("ID")] coordinates(data) = c("X", "Y") class(data) kud<-kernelUD(data) # this works fine kud<-kernelUD(data, h="LSCV") # this causes R to crash Any suggestions would be greatly appreciated. Many thanks for your time, Kind regards, -Amanda- [[alternative HTML version deleted]] ______________________________________________ [hidden email] 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. |
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Hi Amanda,
I can't reproduce this without your data set. Would it be possible for you to give us dput(head(data, 20)) if you need further help? Also, if you could supply the output of sessionInfo()? That's often helpful for anything that "crashes" [that term means many things to different people so if you could be more specific that'd be great as well] Finally, you may with to get in touch with the maintainer of the adehabitatHR package directly. You can get contact info by typing maintainer("adehabitatHR") at your prompt. Best, Michael On Thu, Jun 21, 2012 at 6:25 AM, Amanda Kuepfer <[hidden email]> wrote: > Hi, > > I am looking to perform a kernel density analysis in R, following the script that a friend of mine is using successfully. However, unlike for her, when I enter >kud<-kernelUD(data, h="LSCV"), R crashes and closes every time. This does not happen when I perform a different kernel analysis (>kud<-kernelUD(data)).. > > I have tried to un-install and re-install R, but it still crashes.. > > > The script I am using is as follows: > > library(adehabitatHR) > library(maptools) > data<-read.csv("sa 4 trips 13F.csv") > xy = data[c("X", "Y")] > id<-data[,c("ID")] > coordinates(data) = c("X", "Y") > class(data) > > kud<-kernelUD(data) # this works fine > kud<-kernelUD(data, h="LSCV") # this causes R to crash > > > Any suggestions would be greatly appreciated. > > Many thanks for your time, > > Kind regards, > -Amanda- > [[alternative HTML version deleted]] > > > ______________________________________________ > [hidden email] 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. > ______________________________________________ [hidden email] 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. |
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In reply to this post by Amanda Kuepfer
On 2012-06-21 04:25, Amanda Kuepfer wrote:
> Hi, > > I am looking to perform a kernel density analysis in R, following the script that a friend of mine is using successfully. However, unlike for her, when I enter>kud<-kernelUD(data, h="LSCV"), R crashes and closes every time. This does not happen when I perform a different kernel analysis (>kud<-kernelUD(data)).. > > I have tried to un-install and re-install R, but it still crashes.. > > > The script I am using is as follows: > > library(adehabitatHR) > library(maptools) > data<-read.csv("sa 4 trips 13F.csv") > xy = data[c("X", "Y")] > id<-data[,c("ID")] > coordinates(data) = c("X", "Y") > class(data) > > kud<-kernelUD(data) # this works fine > kud<-kernelUD(data, h="LSCV") # this causes R to crash In both cases, shouldn't that be 'xy' instead of 'data'? Presumably, your data.frame 'data' (bad name) contains at least one more column ('ID'). Or why did you define 'xy' and then not use it? Peter Ehlers > > > Any suggestions would be greatly appreciated. > > Many thanks for your time, > > Kind regards, > -Amanda- > [[alternative HTML version deleted]] ______________________________________________ [hidden email] 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. |
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