On Thu, Jun 24, 2010 at 1:18 PM, Eugeniusz Kaluza
<eugeniusz.kal...@polsl.pl> wrote:
>
> Dear useRs,
>
> Thanks for any advices
>
> # I do not know where are the examples how to mark groups
> # based on signal occurence in the additional variable: cf. variable c2,
> # How to calculate different calculations for groups defined by (split by
> occurence of c2 characteristic data)
>
>
> #First example of simple data
> #mexample 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
> c0<-rbind( 1, 2 , 3, 4, 5, 6, 7, 8, 9,10,11, 12,13,14,15,16,17
> )
> c0
> c1<-rbind(10, 20 ,30,40, 50,10,60,20,30,40,50, 30,10,
> 0,NA,20,10.3444)
> c1
> c2<-rbind(NA,"Start1",NA,NA,"Stop1",NA,NA,NA,NA,NA,NA,"Start2",NA,NA,NA,NA,"Stop2")
> c2
> C.df<-data.frame(cbind(c0,c1,c2))
> colnames(C.df)<-c("c0","c1","c2")
> C.df
>
> # preparation of form for explaining further needed result (next 3 lines are
> not needed indeed, they are only to explain how to obtain final result
> c3<-rbind(NA,"Start1","Start1","Start1","Start1","Start2","Start2","Start2","Start2","Start2","Start2","Start2","Start2","Start2","Start2","Start2","Start2")
> c4<-rbind(NA, "Stop1", "Stop1", "Stop1", "Stop1", "Stop2", "Stop2", "Stop2",
> "Stop2", "Stop2", "Stop2", "Stop2", "Stop2", "Stop2", "Stop2", "Stop2",
> "Stop2")
> C.df<-data.frame(cbind(c0,c1,c2,c3,c4))
> colnames(C.df)<-c("c0","c1","c2","c3","c4")
> C.df$c5<-paste(C.df$c3,C.df$c4,sep="-")
> C.df
>
Now this is something I don't get. The list "Start2-Stop2" starts way
before Start2, actually at Stop1. Sure that's what you want?
I took the liberty of showing how to get the data between start and
stop for every entry, and how to apply functions to it. If you don't
get the code, look at
?lapply
?apply
?grep
I also adjusted your example, as you caused all variables to be
factors by using the cbind in the data.frame function. Never do this
unless you're really sure you have to. But I can't think of a case
where that would be beneficial...
...
C.df<-data.frame(c0,c1,c2)
C.df
# find positions
Start <- grep("Start",C.df$c2)
Stop <- grep("Stop",C.df$c2)
# create indices
idx <- apply(cbind(Start,Stop),1,function(i) i[1]:i[2])
names(idx) <- paste("Start",1:length(Start),"-Stop",1:length(Start),sep="")
# Apply the function summary and get a list back named by the interval.
out <- lapply(idx,function(i) summary(C.df[i,1:2]))
out
If you really need to start Start2 right after Stop1, you can use a
similar approach.
Cheers
Joris
> # NEEDED RESULTS
> # needed result
> # for Stat1-Stop1: mean(20,30,40,50)
> # for Stat2-Stop2: mean(c(10,60,20,30,40,50,30,10,0,NA,20,10.3444), na.rm=T)
> #mean:
> c1 c3 c4 c5
> 20 Start1 Stop1 Start1-Stop1
> 25.48585 Start2 Stop2 Start2-Stop2
>
> #sum
> # for Stat1-Stop1: sum(20,30,40,50)
> # for Stat2-Stop2: sum(c(10,60,20,30,40,50,30,10,0,NA,20,10.3444), na.rm=T)
> #sum:
> c1 c3 c4 c5
> 140 Start1 Stop1 Start1-Stop1
> 280.3444 Start2 Stop2 Start2-Stop2
>
> # for Stat1-Stop1: max(20,30,40,50)
> # for Stat2-Stop2: max(c(10,60,20,30,40,50,30,10,0,NA,20,10.3444), na.rm=T)
> #max:
> c1 c3 c4 c5
> 50 Start1 Stop1 Start1-Stop1
> 60 Start2 Stop2 Start2-Stop2
>
> # place of max (in Start1-Stop1: 4 th element in gruop Start1-Stop1
> # place of max (in Start1-Stop1: 2 nd element in gruop Start1-Stop1
>
> c0 c3 c4 c5
> 4 Start1 Stop1 Start1-Stop1
> 2 Start2 Stop2 Start2-Stop2
>
>
> Thanks for any suggestion,
> Kaluza
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
Joris Meys
Statistical consultant
Ghent University
Faculty of Bioscience Engineering
Department of Applied mathematics, biometrics and process control
tel : +32 9 264 59 87
joris.m...@ugent.be
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