Colleagues
----------------------------------
System info:
R version rw1020 on NT
ESS using emacs ver. 20.4
----------------------------------
I want to merge 2 lists by their common factor (which is a binned time
interval). The lists were created using
b.opc.tr1 <- by(opc.tr1, fopc, colmean)
b.shuttle.tr1 <- by(shuttle.tr1, fsh, colmean)
where colmean is another function to estimate the column means.
Both lists have this structure:
> b.shuttle.tr1
fsh: (305.96,306.02]
juliandate lat temp.degC
305.99142 -43.28905 11.85373
------------------------------------------------------------
fsh: (306.02,306.09]
juliandate lat temp.degC
306.05841 -43.50886 11.68171
------------------------------------------------------------
fsh: (306.09,306.16]
juliandate lat temp.degC
306.12566 -43.73148 10.99198
------------------------------------------------------------
fsh: (306.16,306.23]
juliandate lat temp.degC
306.192905 -43.971203 8.228907
------------------------------------------------------------
fsh: (306.23,306.29]
juliandate lat temp.degC
306.260174 -44.209771 7.789692
------------------------------------------------------------
fsh: (306.29,306.36]
juliandate lat temp.degC
306.32742 -44.44151 7.85163
------------------------------------------------------------
fsh: (306.36,306.43]
juliandate lat temp.degC
306.394664 -44.671002 7.785862
------------------------------------------------------------
fsh: (306.43,306.5]
juliandate lat temp.degC
306.460658 -44.891848 8.459184 >
> b.opc.tr1
fopc: (305.96,306.02]
time diameter.um count
305.9932 410.4535 1.0000
------------------------------------------------------------
fopc: (306.02,306.09]
time diameter.um count
306.0586 398.0463 1.0000
------------------------------------------------------------
fopc: (306.09,306.16]
time diameter.um count
306.1329 396.4840 1.0000
------------------------------------------------------------
fopc: (306.16,306.23]
time diameter.um count
306.2036 351.0583 1.0000
------------------------------------------------------------
fopc: (306.23,306.29]
time diameter.um count
306.2681 395.6310 1.0000
------------------------------------------------------------
fopc: (306.29,306.36]
time diameter.um count
306.3271 361.0793 1.0000
------------------------------------------------------------
fopc: (306.36,306.43]
time diameter.um count
306.3907 363.0411 1.0000
------------------------------------------------------------
fopc: (306.43,306.5]
time diameter.um count
306.4664 380.3839 1.0000 >
Normally, I would use merge() but this works on data.frames and the
output of by() apparently cannot be coerced to a dataframe (with
as.dataframe() for example).
I can merge the list elements one by one by looping over them, but this
seems inefficient. Do you know of a function to merge two lists like this
without using looping?
Thanks
Sam
Sam McClatchie, Research scientist (fisheries acoustics))))))))))
NIWA (National Institute of Water & Atmospheric Research Ltd)
PO Box 14 901, Kilbirnie, Wellington, New Zealand
s.mcclatchie at niwa.cri.nz
/\
...>><xX(?> // \\
/// \\\
//// \\\\
/// <?)Xx><<
///// \\\\\\
><(((?>
>><(((?> ...>><xX(?>O<?)Xx><<
-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-
r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
Send "info", "help", or "[un]subscribe"
(in the "body", not the subject !) To: r-help-request at
stat.math.ethz.ch
_._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._