Re: [R] cluster/snow question
Many thanks, that is very helpful. Tolga Luke Tierney <[EMAIL PROTECTED]> 10/09/2008 14:05 To [EMAIL PROTECTED] cc [EMAIL PROTECTED], r-help@r-project.org Subject Re: [R] cluster/snow question ls() looks in its calling environment, which in this case would be the internals of the snow mechnism. If you want ls of the global environment use one of clusterEvalQ(cl, ls()) clusterCall(cl, ls, .GlobalEnv) luke On Wed, 10 Sep 2008, [EMAIL PROTECTED] wrote: > Many thanks. Yes, weird, somehow ls does not show the variables in the > environment, even though they are clearly there. It would be nice to > understand why that is the case, just to be clear about what is going on. > > Thanks Markus, > Tolga > > > > > Markus Schmidberger <[EMAIL PROTECTED]> > 10/09/2008 10:45 > Please respond to > [EMAIL PROTECTED] > > > To > [EMAIL PROTECTED] > cc > r-help@r-project.org > Subject > Re: [R] cluster/snow question > > > > > > > Hi Tolga, > > I am not sure why ls() is showing only "args" and "fun". > > But x is at the nodes. Try this: > > clusterEvalQ(cl,x<-x+3) > [[1]] > [1] 4 > > [[2]] > [1] 4 > > clusterCall(cl,function()x+5) > [[1]] > [1] 9 > > [[2]] > [1] 9 > > Best > Markus > > > > [EMAIL PROTECTED] schrieb: >> Dear R Users, >> >> Apologies for a somewhat basic cluster question. I am trying to come to >> grips with how variables are instantiated within the environment of each > >> node in a cluster. When I run the following code, I expect to see the >> variable "x" in the environment of each node, but fail to do so. What am > I >> doing wrong ? >> >> library(snow) >> noclusters<-2 >> cl <- makeCluster(noclusters, type = "SOCK") >> clusterCall(cl,ls) >> x<-1 >> clusterExport(cl,"x") >> clusterCall(cl,ls) #expect to see x in the environment, but get back the > >> same result as in the call above >> stopCluster(cl) >> >> >>> library(snow) >>> noclusters<-2 >>> cl <- makeCluster(noclusters, type = "SOCK") >>> clusterCall(cl,ls) >>> >> [[1]] >> [1] "args" "fun" >> >> [[2]] >> [1] "args" "fun" >> >> >>> x<-1 >>> clusterExport(cl,"x") >>> clusterCall(cl,ls) #expect to see x in the environment >>> >> [[1]] >> [1] "args" "fun" >> >> [[2]] >> [1] "args" "fun" >> >> >>> stopCluster(cl) >>> >>> >> >> Thanks in advance, >> Tolga >> >> >> Generally, this communication is for informational purposes only >> and it is not intended as an offer or solicitation for the purchase >> or sale of any financial instrument or as an official confirmation >> of any transaction. In the event you are receiving the offering >> materials attached below related to your interest in hedge funds or >> private equity, this communication may be intended as an offer or >> solicitation for the purchase or sale of such fund(s). All market >> prices, data and other information are not warranted as to >> completeness or accuracy and are subject to change without notice. >> Any comments or statements made herein do not necessarily reflect >> those of JPMorgan Chase & Co., its subsidiaries and affiliates. >> >> This transmission may contain information that is privileged, >> confidential, legally privileged, and/or exempt from disclosure >> under applicable law. If you are not the intended recipient, you >> are hereby notified that any disclosure, copying, distribution, or >> use of the information contained herein (including any reliance >> thereon) is STRICTLY PROHIBITED. Although this transmission and any >> attachments are believed to be free of any virus or other defect >> that might affect any computer system into which it is received and >> opened, it is the responsibility of the recipient to ensure that it >> is virus free and no responsibility is accepted by JPMorgan Chase & >> Co., its subsidiaries and affiliates, as applicable, for any loss >> or damage arising in any way from its use. If you received this >> transmission in error, please immediately contact the sender and >> destroy the material in its entirety, whether in electronic or hard >> copy format. Thank you. >> Please refer to http://www.jpmorgan.com/pages/disclosures for >> disclosures relating to UK lega
Re: [R] cluster/snow question
ls() looks in its calling environment, which in this case would be the internals of the snow mechnism. If you want ls of the global environment use one of clusterEvalQ(cl, ls()) clusterCall(cl, ls, .GlobalEnv) luke On Wed, 10 Sep 2008, [EMAIL PROTECTED] wrote: Many thanks. Yes, weird, somehow ls does not show the variables in the environment, even though they are clearly there. It would be nice to understand why that is the case, just to be clear about what is going on. Thanks Markus, Tolga Markus Schmidberger <[EMAIL PROTECTED]> 10/09/2008 10:45 Please respond to [EMAIL PROTECTED] To [EMAIL PROTECTED] cc r-help@r-project.org Subject Re: [R] cluster/snow question Hi Tolga, I am not sure why ls() is showing only "args" and "fun". But x is at the nodes. Try this: clusterEvalQ(cl,x<-x+3) [[1]] [1] 4 [[2]] [1] 4 clusterCall(cl,function()x+5) [[1]] [1] 9 [[2]] [1] 9 Best Markus [EMAIL PROTECTED] schrieb: Dear R Users, Apologies for a somewhat basic cluster question. I am trying to come to grips with how variables are instantiated within the environment of each node in a cluster. When I run the following code, I expect to see the variable "x" in the environment of each node, but fail to do so. What am I doing wrong ? library(snow) noclusters<-2 cl <- makeCluster(noclusters, type = "SOCK") clusterCall(cl,ls) x<-1 clusterExport(cl,"x") clusterCall(cl,ls) #expect to see x in the environment, but get back the same result as in the call above stopCluster(cl) library(snow) noclusters<-2 cl <- makeCluster(noclusters, type = "SOCK") clusterCall(cl,ls) [[1]] [1] "args" "fun" [[2]] [1] "args" "fun" x<-1 clusterExport(cl,"x") clusterCall(cl,ls) #expect to see x in the environment [[1]] [1] "args" "fun" [[2]] [1] "args" "fun" stopCluster(cl) Thanks in advance, Tolga Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. In the event you are receiving the offering materials attached below related to your interest in hedge funds or private equity, this communication may be intended as an offer or solicitation for the purchase or sale of such fund(s). All market prices, data and other information are not warranted as to completeness or accuracy and are subject to change without notice. Any comments or statements made herein do not necessarily reflect those of JPMorgan Chase & Co., its subsidiaries and affiliates. This transmission may contain information that is privileged, confidential, legally privileged, and/or exempt from disclosure under applicable law. If you are not the intended recipient, you are hereby notified that any disclosure, copying, distribution, or use of the information contained herein (including any reliance thereon) is STRICTLY PROHIBITED. Although this transmission and any attachments are believed to be free of any virus or other defect that might affect any computer system into which it is received and opened, it is the responsibility of the recipient to ensure that it is virus free and no responsibility is accepted by JPMorgan Chase & Co., its subsidiaries and affiliates, as applicable, for any loss or damage arising in any way from its use. If you received this transmission in error, please immediately contact the sender and destroy the material in its entirety, whether in electronic or hard copy format. Thank you. Please refer to http://www.jpmorgan.com/pages/disclosures for disclosures relating to UK legal entities. [[alternative HTML version deleted]] __ R-help@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. -- Dipl.-Tech. Math. Markus Schmidberger Ludwig-Maximilians-Universit?? M??chen IBE - Institut f?? medizinische Informationsverarbeitung, Biometrie und Epidemiologie Marchioninistr. 15, D-81377 Muenchen URL: http://ibe.web.med.uni-muenchen.de Mail: Markus.Schmidberger [at] ibe.med.uni-muenchen.de Tel: +49 (089) 7095 - 4599 Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. In the event you are receiving the offering materials attached below related to your interest in hedge funds or private equity, this communication may be intended as an offer or solicitation for the purchase or sale of such fund(s). All market prices, data and other information are not warranted as to
Re: [R] cluster/snow question
Many thanks. Yes, weird, somehow ls does not show the variables in the environment, even though they are clearly there. It would be nice to understand why that is the case, just to be clear about what is going on. Thanks Markus, Tolga Markus Schmidberger <[EMAIL PROTECTED]> 10/09/2008 10:45 Please respond to [EMAIL PROTECTED] To [EMAIL PROTECTED] cc r-help@r-project.org Subject Re: [R] cluster/snow question Hi Tolga, I am not sure why ls() is showing only "args" and "fun". But x is at the nodes. Try this: clusterEvalQ(cl,x<-x+3) [[1]] [1] 4 [[2]] [1] 4 clusterCall(cl,function()x+5) [[1]] [1] 9 [[2]] [1] 9 Best Markus [EMAIL PROTECTED] schrieb: > Dear R Users, > > Apologies for a somewhat basic cluster question. I am trying to come to > grips with how variables are instantiated within the environment of each > node in a cluster. When I run the following code, I expect to see the > variable "x" in the environment of each node, but fail to do so. What am I > doing wrong ? > > library(snow) > noclusters<-2 > cl <- makeCluster(noclusters, type = "SOCK") > clusterCall(cl,ls) > x<-1 > clusterExport(cl,"x") > clusterCall(cl,ls) #expect to see x in the environment, but get back the > same result as in the call above > stopCluster(cl) > > >> library(snow) >> noclusters<-2 >> cl <- makeCluster(noclusters, type = "SOCK") >> clusterCall(cl,ls) >> > [[1]] > [1] "args" "fun" > > [[2]] > [1] "args" "fun" > > >> x<-1 >> clusterExport(cl,"x") >> clusterCall(cl,ls) #expect to see x in the environment >> > [[1]] > [1] "args" "fun" > > [[2]] > [1] "args" "fun" > > >> stopCluster(cl) >> >> > > Thanks in advance, > Tolga > > > Generally, this communication is for informational purposes only > and it is not intended as an offer or solicitation for the purchase > or sale of any financial instrument or as an official confirmation > of any transaction. In the event you are receiving the offering > materials attached below related to your interest in hedge funds or > private equity, this communication may be intended as an offer or > solicitation for the purchase or sale of such fund(s). All market > prices, data and other information are not warranted as to > completeness or accuracy and are subject to change without notice. > Any comments or statements made herein do not necessarily reflect > those of JPMorgan Chase & Co., its subsidiaries and affiliates. > > This transmission may contain information that is privileged, > confidential, legally privileged, and/or exempt from disclosure > under applicable law. If you are not the intended recipient, you > are hereby notified that any disclosure, copying, distribution, or > use of the information contained herein (including any reliance > thereon) is STRICTLY PROHIBITED. Although this transmission and any > attachments are believed to be free of any virus or other defect > that might affect any computer system into which it is received and > opened, it is the responsibility of the recipient to ensure that it > is virus free and no responsibility is accepted by JPMorgan Chase & > Co., its subsidiaries and affiliates, as applicable, for any loss > or damage arising in any way from its use. If you received this > transmission in error, please immediately contact the sender and > destroy the material in its entirety, whether in electronic or hard > copy format. Thank you. > Please refer to http://www.jpmorgan.com/pages/disclosures for > disclosures relating to UK legal entities. >[[alternative HTML version deleted]] > > __ > R-help@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. > -- Dipl.-Tech. Math. Markus Schmidberger Ludwig-Maximilians-Universität München IBE - Institut für medizinische Informationsverarbeitung, Biometrie und Epidemiologie Marchioninistr. 15, D-81377 Muenchen URL: http://ibe.web.med.uni-muenchen.de Mail: Markus.Schmidberger [at] ibe.med.uni-muenchen.de Tel: +49 (089) 7095 - 4599 Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. In the event you are receiving the offering materials attached below related to your interest in hedge funds or pr
Re: [R] cluster/snow question
Hi Tolga, I am not sure why ls() is showing only "args" and "fun". But x is at the nodes. Try this: clusterEvalQ(cl,x<-x+3) [[1]] [1] 4 [[2]] [1] 4 clusterCall(cl,function()x+5) [[1]] [1] 9 [[2]] [1] 9 Best Markus [EMAIL PROTECTED] schrieb: Dear R Users, Apologies for a somewhat basic cluster question. I am trying to come to grips with how variables are instantiated within the environment of each node in a cluster. When I run the following code, I expect to see the variable "x" in the environment of each node, but fail to do so. What am I doing wrong ? library(snow) noclusters<-2 cl <- makeCluster(noclusters, type = "SOCK") clusterCall(cl,ls) x<-1 clusterExport(cl,"x") clusterCall(cl,ls) #expect to see x in the environment, but get back the same result as in the call above stopCluster(cl) library(snow) noclusters<-2 cl <- makeCluster(noclusters, type = "SOCK") clusterCall(cl,ls) [[1]] [1] "args" "fun" [[2]] [1] "args" "fun" x<-1 clusterExport(cl,"x") clusterCall(cl,ls) #expect to see x in the environment [[1]] [1] "args" "fun" [[2]] [1] "args" "fun" stopCluster(cl) Thanks in advance, Tolga Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. In the event you are receiving the offering materials attached below related to your interest in hedge funds or private equity, this communication may be intended as an offer or solicitation for the purchase or sale of such fund(s). All market prices, data and other information are not warranted as to completeness or accuracy and are subject to change without notice. Any comments or statements made herein do not necessarily reflect those of JPMorgan Chase & Co., its subsidiaries and affiliates. This transmission may contain information that is privileged, confidential, legally privileged, and/or exempt from disclosure under applicable law. If you are not the intended recipient, you are hereby notified that any disclosure, copying, distribution, or use of the information contained herein (including any reliance thereon) is STRICTLY PROHIBITED. Although this transmission and any attachments are believed to be free of any virus or other defect that might affect any computer system into which it is received and opened, it is the responsibility of the recipient to ensure that it is virus free and no responsibility is accepted by JPMorgan Chase & Co., its subsidiaries and affiliates, as applicable, for any loss or damage arising in any way from its use. If you received this transmission in error, please immediately contact the sender and destroy the material in its entirety, whether in electronic or hard copy format. Thank you. Please refer to http://www.jpmorgan.com/pages/disclosures for disclosures relating to UK legal entities. [[alternative HTML version deleted]] __ R-help@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. -- Dipl.-Tech. Math. Markus Schmidberger Ludwig-Maximilians-Universität München IBE - Institut für medizinische Informationsverarbeitung, Biometrie und Epidemiologie Marchioninistr. 15, D-81377 Muenchen URL: http://ibe.web.med.uni-muenchen.de Mail: Markus.Schmidberger [at] ibe.med.uni-muenchen.de Tel: +49 (089) 7095 - 4599 __ R-help@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.
[R] cluster/snow question
Dear R Users, Apologies for a somewhat basic cluster question. I am trying to come to grips with how variables are instantiated within the environment of each node in a cluster. When I run the following code, I expect to see the variable "x" in the environment of each node, but fail to do so. What am I doing wrong ? library(snow) noclusters<-2 cl <- makeCluster(noclusters, type = "SOCK") clusterCall(cl,ls) x<-1 clusterExport(cl,"x") clusterCall(cl,ls) #expect to see x in the environment, but get back the same result as in the call above stopCluster(cl) > library(snow) > noclusters<-2 > cl <- makeCluster(noclusters, type = "SOCK") > clusterCall(cl,ls) [[1]] [1] "args" "fun" [[2]] [1] "args" "fun" > x<-1 > clusterExport(cl,"x") > clusterCall(cl,ls) #expect to see x in the environment [[1]] [1] "args" "fun" [[2]] [1] "args" "fun" > stopCluster(cl) > Thanks in advance, Tolga Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. In the event you are receiving the offering materials attached below related to your interest in hedge funds or private equity, this communication may be intended as an offer or solicitation for the purchase or sale of such fund(s). All market prices, data and other information are not warranted as to completeness or accuracy and are subject to change without notice. Any comments or statements made herein do not necessarily reflect those of JPMorgan Chase & Co., its subsidiaries and affiliates. This transmission may contain information that is privileged, confidential, legally privileged, and/or exempt from disclosure under applicable law. If you are not the intended recipient, you are hereby notified that any disclosure, copying, distribution, or use of the information contained herein (including any reliance thereon) is STRICTLY PROHIBITED. Although this transmission and any attachments are believed to be free of any virus or other defect that might affect any computer system into which it is received and opened, it is the responsibility of the recipient to ensure that it is virus free and no responsibility is accepted by JPMorgan Chase & Co., its subsidiaries and affiliates, as applicable, for any loss or damage arising in any way from its use. If you received this transmission in error, please immediately contact the sender and destroy the material in its entirety, whether in electronic or hard copy format. Thank you. Please refer to http://www.jpmorgan.com/pages/disclosures for disclosures relating to UK legal entities. [[alternative HTML version deleted]] __ R-help@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.
Re: [R] cluster/snow question
Understood, that's what I'll do. I'm thinking of exporting the number of nodes to all nodes and passing in the node rank as 1:nonodes through clusterApply. Thanks all, Tolga Luke Tierney <[EMAIL PROTECTED]> 09/09/2008 20:11 To [EMAIL PROTECTED] cc [EMAIL PROTECTED], r-help@r-project.org Subject Re: [R] cluster/snow question On Tue, 9 Sep 2008, [EMAIL PROTECTED] wrote: > Hi Markus, > > Many thanks. Is the "cluster" variable you mention below available in the > environment of the nodes ? Specifically, within that environment, how > could one identify the rank of that specific node ? No -- that isn't the way snow works. With snow the partitioning is done on the master. If you need a node to know how many other nodes there are or which index it represents in a clusterApply call then you need to pass that information in the arguments. luke > > My code would use that information to partition the problem. > > Thanks, > Tolga > > > > > Markus Schmidberger <[EMAIL PROTECTED]> > 09/09/2008 07:11 > Please respond to > [EMAIL PROTECTED] > > > To > [EMAIL PROTECTED] > cc > r-help@r-project.org > Subject > Re: [R] cluster/snow question > > > > > > > Hi Tolga, > > in SNOW you have to start a cluster with the command > > > library(snow) > > cluster <- makeCluster(#nodes) > > The object "cluster" is a list with an object for each node and each > object again is a list with all informations (rank, comm, tags) > The size of the cluster is the length of the list. > > > #nodes == length(cluster) > > E.g. the rank for node one you can get by > > cluster[[1]]$rank > > Best > Markus > > [EMAIL PROTECTED] schrieb: >> Dear R Users, >> >> I am attempting to use the snow package for clustering. Is there a way > to >> identfy, in the environment of each node, a rank for that node and also, > >> the total size of the cluster ? >> >> By way of analogy, I am looking for the functions in snow equivalent to >> mpi.comm.rank() and mpi.comm.size() from RMPI, in case that makes things > >> clearer. >> >> Thanks in advance, >> Tolga >> >> Generally, this communication is for informational purposes only >> and it is not intended as an offer or solicitation for the purchase >> or sale of any financial instrument or as an official confirmation >> of any transaction. In the event you are receiving the offering >> materials attached below related to your interest in hedge funds or >> private equity, this communication may be intended as an offer or >> solicitation for the purchase or sale of such fund(s). All market >> prices, data and other information are not warranted as to >> completeness or accuracy and are subject to change without notice. >> Any comments or statements made herein do not necessarily reflect >> those of JPMorgan Chase & Co., its subsidiaries and affiliates. >> >> This transmission may contain information that is privileged, >> confidential, legally privileged, and/or exempt from disclosure >> under applicable law. If you are not the intended recipient, you >> are hereby notified that any disclosure, copying, distribution, or >> use of the information contained herein (including any reliance >> thereon) is STRICTLY PROHIBITED. Although this transmission and any >> attachments are believed to be free of any virus or other defect >> that might affect any computer system into which it is received and >> opened, it is the responsibility of the recipient to ensure that it >> is virus free and no responsibility is accepted by JPMorgan Chase & >> Co., its subsidiaries and affiliates, as applicable, for any loss >> or damage arising in any way from its use. If you received this >> transmission in error, please immediately contact the sender and >> destroy the material in its entirety, whether in electronic or hard >> copy format. Thank you. >> Please refer to http://www.jpmorgan.com/pages/disclosures for >> disclosures relating to UK legal entities. >>[[alternative HTML version deleted]] >> >> __ >> R-help@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. >> > > > -- > Dipl.-Tech. Math. Markus Schmidberger > > Ludwig-Maximilians-Universit?? M??chen > IBE - Institut f?? medizinische Informationsverarbeitung, > Bi
Re: [R] cluster/snow question
On Tue, 9 Sep 2008, [EMAIL PROTECTED] wrote: Hi Markus, Many thanks. Is the "cluster" variable you mention below available in the environment of the nodes ? Specifically, within that environment, how could one identify the rank of that specific node ? No -- that isn't the way snow works. With snow the partitioning is done on the master. If you need a node to know how many other nodes there are or which index it represents in a clusterApply call then you need to pass that information in the arguments. luke My code would use that information to partition the problem. Thanks, Tolga Markus Schmidberger <[EMAIL PROTECTED]> 09/09/2008 07:11 Please respond to [EMAIL PROTECTED] To [EMAIL PROTECTED] cc r-help@r-project.org Subject Re: [R] cluster/snow question Hi Tolga, in SNOW you have to start a cluster with the command > library(snow) > cluster <- makeCluster(#nodes) The object "cluster" is a list with an object for each node and each object again is a list with all informations (rank, comm, tags) The size of the cluster is the length of the list. > #nodes == length(cluster) E.g. the rank for node one you can get by > cluster[[1]]$rank Best Markus [EMAIL PROTECTED] schrieb: Dear R Users, I am attempting to use the snow package for clustering. Is there a way to identfy, in the environment of each node, a rank for that node and also, the total size of the cluster ? By way of analogy, I am looking for the functions in snow equivalent to mpi.comm.rank() and mpi.comm.size() from RMPI, in case that makes things clearer. Thanks in advance, Tolga Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. In the event you are receiving the offering materials attached below related to your interest in hedge funds or private equity, this communication may be intended as an offer or solicitation for the purchase or sale of such fund(s). All market prices, data and other information are not warranted as to completeness or accuracy and are subject to change without notice. Any comments or statements made herein do not necessarily reflect those of JPMorgan Chase & Co., its subsidiaries and affiliates. This transmission may contain information that is privileged, confidential, legally privileged, and/or exempt from disclosure under applicable law. If you are not the intended recipient, you are hereby notified that any disclosure, copying, distribution, or use of the information contained herein (including any reliance thereon) is STRICTLY PROHIBITED. Although this transmission and any attachments are believed to be free of any virus or other defect that might affect any computer system into which it is received and opened, it is the responsibility of the recipient to ensure that it is virus free and no responsibility is accepted by JPMorgan Chase & Co., its subsidiaries and affiliates, as applicable, for any loss or damage arising in any way from its use. If you received this transmission in error, please immediately contact the sender and destroy the material in its entirety, whether in electronic or hard copy format. Thank you. Please refer to http://www.jpmorgan.com/pages/disclosures for disclosures relating to UK legal entities. [[alternative HTML version deleted]] __ R-help@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. -- Dipl.-Tech. Math. Markus Schmidberger Ludwig-Maximilians-Universit?? M??chen IBE - Institut f?? medizinische Informationsverarbeitung, Biometrie und Epidemiologie Marchioninistr. 15, D-81377 Muenchen URL: http://ibe.web.med.uni-muenchen.de Mail: Markus.Schmidberger [at] ibe.med.uni-muenchen.de Tel: +49 (089) 7095 - 4599 Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. In the event you are receiving the offering materials attached below related to your interest in hedge funds or private equity, this communication may be intended as an offer or solicitation for the purchase or sale of such fund(s). All market prices, data and other information are not warranted as to completeness or accuracy and are subject to change without notice. Any comments or statements made herein do not necessarily reflect those of JPMorgan Chase & Co., its subsidiaries and affiliates. This transmission may contain information that is privileged, confidential, legally privileged, and/or exempt from disclosure under applicable law. If you are not the intended recip
Re: [R] cluster/snow question
Hi Markus, Many thanks. Is the "cluster" variable you mention below available in the environment of the nodes ? Specifically, within that environment, how could one identify the rank of that specific node ? My code would use that information to partition the problem. Thanks, Tolga Markus Schmidberger <[EMAIL PROTECTED]> 09/09/2008 07:11 Please respond to [EMAIL PROTECTED] To [EMAIL PROTECTED] cc r-help@r-project.org Subject Re: [R] cluster/snow question Hi Tolga, in SNOW you have to start a cluster with the command > library(snow) > cluster <- makeCluster(#nodes) The object "cluster" is a list with an object for each node and each object again is a list with all informations (rank, comm, tags) The size of the cluster is the length of the list. > #nodes == length(cluster) E.g. the rank for node one you can get by > cluster[[1]]$rank Best Markus [EMAIL PROTECTED] schrieb: > Dear R Users, > > I am attempting to use the snow package for clustering. Is there a way to > identfy, in the environment of each node, a rank for that node and also, > the total size of the cluster ? > > By way of analogy, I am looking for the functions in snow equivalent to > mpi.comm.rank() and mpi.comm.size() from RMPI, in case that makes things > clearer. > > Thanks in advance, > Tolga > > Generally, this communication is for informational purposes only > and it is not intended as an offer or solicitation for the purchase > or sale of any financial instrument or as an official confirmation > of any transaction. In the event you are receiving the offering > materials attached below related to your interest in hedge funds or > private equity, this communication may be intended as an offer or > solicitation for the purchase or sale of such fund(s). All market > prices, data and other information are not warranted as to > completeness or accuracy and are subject to change without notice. > Any comments or statements made herein do not necessarily reflect > those of JPMorgan Chase & Co., its subsidiaries and affiliates. > > This transmission may contain information that is privileged, > confidential, legally privileged, and/or exempt from disclosure > under applicable law. If you are not the intended recipient, you > are hereby notified that any disclosure, copying, distribution, or > use of the information contained herein (including any reliance > thereon) is STRICTLY PROHIBITED. Although this transmission and any > attachments are believed to be free of any virus or other defect > that might affect any computer system into which it is received and > opened, it is the responsibility of the recipient to ensure that it > is virus free and no responsibility is accepted by JPMorgan Chase & > Co., its subsidiaries and affiliates, as applicable, for any loss > or damage arising in any way from its use. If you received this > transmission in error, please immediately contact the sender and > destroy the material in its entirety, whether in electronic or hard > copy format. Thank you. > Please refer to http://www.jpmorgan.com/pages/disclosures for > disclosures relating to UK legal entities. >[[alternative HTML version deleted]] > > __ > R-help@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. > -- Dipl.-Tech. Math. Markus Schmidberger Ludwig-Maximilians-Universität München IBE - Institut für medizinische Informationsverarbeitung, Biometrie und Epidemiologie Marchioninistr. 15, D-81377 Muenchen URL: http://ibe.web.med.uni-muenchen.de Mail: Markus.Schmidberger [at] ibe.med.uni-muenchen.de Tel: +49 (089) 7095 - 4599 Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. In the event you are receiving the offering materials attached below related to your interest in hedge funds or private equity, this communication may be intended as an offer or solicitation for the purchase or sale of such fund(s). All market prices, data and other information are not warranted as to completeness or accuracy and are subject to change without notice. Any comments or statements made herein do not necessarily reflect those of JPMorgan Chase & Co., its subsidiaries and affiliates. This transmission may contain information that is privileged, confidential, legally privileged, and/or exempt from disclosure under applicable law. If you are not the intended recipient, you are hereby notified that any disclosure, copying, dis
Re: [R] cluster/snow question
Hi Tolga, in SNOW you have to start a cluster with the command > library(snow) > cluster <- makeCluster(#nodes) The object "cluster" is a list with an object for each node and each object again is a list with all informations (rank, comm, tags) The size of the cluster is the length of the list. > #nodes == length(cluster) E.g. the rank for node one you can get by > cluster[[1]]$rank Best Markus [EMAIL PROTECTED] schrieb: Dear R Users, I am attempting to use the snow package for clustering. Is there a way to identfy, in the environment of each node, a rank for that node and also, the total size of the cluster ? By way of analogy, I am looking for the functions in snow equivalent to mpi.comm.rank() and mpi.comm.size() from RMPI, in case that makes things clearer. Thanks in advance, Tolga Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. In the event you are receiving the offering materials attached below related to your interest in hedge funds or private equity, this communication may be intended as an offer or solicitation for the purchase or sale of such fund(s). All market prices, data and other information are not warranted as to completeness or accuracy and are subject to change without notice. Any comments or statements made herein do not necessarily reflect those of JPMorgan Chase & Co., its subsidiaries and affiliates. This transmission may contain information that is privileged, confidential, legally privileged, and/or exempt from disclosure under applicable law. If you are not the intended recipient, you are hereby notified that any disclosure, copying, distribution, or use of the information contained herein (including any reliance thereon) is STRICTLY PROHIBITED. Although this transmission and any attachments are believed to be free of any virus or other defect that might affect any computer system into which it is received and opened, it is the responsibility of the recipient to ensure that it is virus free and no responsibility is accepted by JPMorgan Chase & Co., its subsidiaries and affiliates, as applicable, for any loss or damage arising in any way from its use. If you received this transmission in error, please immediately contact the sender and destroy the material in its entirety, whether in electronic or hard copy format. Thank you. Please refer to http://www.jpmorgan.com/pages/disclosures for disclosures relating to UK legal entities. [[alternative HTML version deleted]] __ R-help@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. -- Dipl.-Tech. Math. Markus Schmidberger Ludwig-Maximilians-Universität München IBE - Institut für medizinische Informationsverarbeitung, Biometrie und Epidemiologie Marchioninistr. 15, D-81377 Muenchen URL: http://ibe.web.med.uni-muenchen.de Mail: Markus.Schmidberger [at] ibe.med.uni-muenchen.de Tel: +49 (089) 7095 - 4599 __ R-help@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.
[R] cluster/snow question
Dear R Users, I am attempting to use the snow package for clustering. Is there a way to identfy, in the environment of each node, a rank for that node and also, the total size of the cluster ? By way of analogy, I am looking for the functions in snow equivalent to mpi.comm.rank() and mpi.comm.size() from RMPI, in case that makes things clearer. Thanks in advance, Tolga Generally, this communication is for informational purposes only and it is not intended as an offer or solicitation for the purchase or sale of any financial instrument or as an official confirmation of any transaction. In the event you are receiving the offering materials attached below related to your interest in hedge funds or private equity, this communication may be intended as an offer or solicitation for the purchase or sale of such fund(s). All market prices, data and other information are not warranted as to completeness or accuracy and are subject to change without notice. Any comments or statements made herein do not necessarily reflect those of JPMorgan Chase & Co., its subsidiaries and affiliates. This transmission may contain information that is privileged, confidential, legally privileged, and/or exempt from disclosure under applicable law. If you are not the intended recipient, you are hereby notified that any disclosure, copying, distribution, or use of the information contained herein (including any reliance thereon) is STRICTLY PROHIBITED. Although this transmission and any attachments are believed to be free of any virus or other defect that might affect any computer system into which it is received and opened, it is the responsibility of the recipient to ensure that it is virus free and no responsibility is accepted by JPMorgan Chase & Co., its subsidiaries and affiliates, as applicable, for any loss or damage arising in any way from its use. If you received this transmission in error, please immediately contact the sender and destroy the material in its entirety, whether in electronic or hard copy format. Thank you. Please refer to http://www.jpmorgan.com/pages/disclosures for disclosures relating to UK legal entities. [[alternative HTML version deleted]] __ R-help@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.
