[R] Binding objects with a similar name

[jimdare]

Dear R users,

The code below splits a dataset by "target_species" and then further splits
each target species group by year.  Finally the sum of a variable called
"total_hook_num" is calculated and then assigned a name based on
(paste(a$target_species[1],a$year[1],sep="").  

newsplit<-split(newdataset,list(newdataset$target_species))
for(i in newsplit){

by.year<-split(i,list(i$year))
for(a in by.year){
assign(paste(a$target_species[1],a$year[1],sep=""),sum(a$total_hook_num))
}
}

The end result is a single value for the number of hooks in a particular
year for a particular species (e.g. YFN2005<-2320) for every species/year. 
This results in number of individual objects being created, as you can see
from ls().  I need to bind objects that have the same "target_speices" name,
in order of year e.g. ALBtimeseries<-cbind(ALB1989, ALB2990,.....,ALB2009).  

My questions are: is there a way to do this by working cbind into the loop;
and if not, is there a way to bind objects that have a common name e.g. all
ALB****?     

Thank you very much for your time, it's much appreciated.
James

> ls()
  [1] "a"          "ALB1989"    "ALB1990"    "ALB1991"    "ALB1992"   
  [6] "ALB1993"    "ALB1994"    "ALB1995"    "ALB1996"    "ALB1997"   
 [11] "ALB1998"    "ALB1999"    "ALB2000"    "ALB2001"    "ALB2002"   
 [16] "ALB2003"    "ALB2004"    "ALB2005"    "ALB2006"    "ALB2007"   
 [21] "ALB2008"    "ALB2009"    "BIG1990"    "BIG1991"    "BIG1992"   
 [26] "BIG1993"    "BIG1994"    "BIG1995"    "BIG1996"    "BIG1997"   
 [31] "BIG1998"    "BIG1999"    "BIG2000"    "BIG2001"    "BIG2002"   
 [36] "BIG2003"    "BIG2004"    "BIG2005"    "BIG2006"    "BIG2007"   
 [41] "BIG2008"    "BIG2009"    "BTU1992"    "BTU2001"    "BTU2004"   
 [46] "BWS2000"    "by.year"    "data1"      "data2"      "datacomb"  
 [51] "i"          "logic"      "logic2"     "MAK1992"    "MOO1992"   
 [56] "MOO2000"    "MOO2002"    "newdataset" "newsplit"   "NTU1994"   
 [61] "NTU1995"    "NTU1996"    "NTU1997"    "NTU1998"    "NTU1999"   
 [66] "NTU2000"    "NTU2001"    "NTU2002"    "NTU2003"    "NTU2004"   
 [71] "NTU2005"    "NTU2007"    "NTU2008"    "NTU2009"    "SKJ1990"   
 [76] "SKJ1996"    "SKJ1998"    "SKJ2003"    "STM1992"    "STM1995"   
 [81] "STM1996"    "STM1999"    "STM2000"    "STM2007"    "STM2008"   
 [86] "STN1990"    "STN1991"    "STN1992"    "STN1993"    "STN1994"   
 [91] "STN1995"    "STN1996"    "STN1997"    "STN1998"    "STN1999"   
 [96] "STN2000"    "STN2001"    "STN2002"    "STN2003"    "STN2004"   
[101] "STN2005"    "STN2006"    "STN2007"    "STN2008"    "STN2009"   
[106] "STU1994"    "STU1996"    "STU2000"    "STU2002"    "STU2004"   
[111] "swordfish"  "TOR2001"    "TOR2002"    "TOR2003"    "TOR2004"   
[116] "TOR2005"    "TOR2006"    "TOR2007"    "TOR2008"    "TOR2009"   
[121] "TUN1997"    "TUN1998"    "TUN1999"    "TUN2001"    "YFN1990"   
[126] "YFN1991"    "YFN1992"    "YFN1993"    "YFN1994"    "YFN1995"   
[131] "YFN1996"    "YFN1997"    "YFN1998"    "YFN1999"    "YFN2000"   
[136] "YFN2001"    "YFN2002"    "YFN2003"    "YFN2004"    "YFN2005"   
[141] "YFN2006"    "YFN2007"    "YFN2008"  


 

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