Hi, I have created following "list" object : > library(zoo) > dat <- vector("list") > for (i in 1:4) dat[[i]] <- zooreg(rnorm(i*10), > start=as.Date("2000-01-01"), frequency=1)
> dat[[1]] 2000-01-01 2000-01-02 2000-01-03 2000-01-04 2000-01-05 2000-01-06 2000-01-07 2000-01-08 2000-01-09 2000-01-10 -0.7023352 -0.2063284 -1.0684688 -0.5345360 1.0045435 -0.6528107 1.0922850 0.6592155 0.1889817 -0.5154872 > dat[[2]] 2000-01-01 2000-01-02 2000-01-03 2000-01-04 2000-01-05 2000-01-06 2000-01-07 2000-01-08 2000-01-09 2000-01-10 -1.33096001 -0.41484364 0.03850233 -0.78752649 1.50566685 -1.05094523 0.58845956 0.28183515 0.90528437 -0.61535069 2000-01-11 2000-01-12 2000-01-13 2000-01-14 2000-01-15 2000-01-16 2000-01-17 2000-01-18 2000-01-19 2000-01-20 -0.76326498 -0.38750503 0.59519399 -0.39464736 0.80053668 0.56286659 0.03991622 1.20224474 -0.11436020 0.79030262 > dat[[3]] 2000-01-01 2000-01-02 2000-01-03 2000-01-04 2000-01-05 2000-01-06 2000-01-07 2000-01-08 2000-01-09 -0.939523920 0.679475552 -0.248264399 0.658726986 -0.154457503 -0.327342956 1.358551653 -0.051436045 0.455469878 2000-01-10 2000-01-11 2000-01-12 2000-01-13 2000-01-14 2000-01-15 2000-01-16 2000-01-17 2000-01-18 2.982439031 0.499840045 0.009528193 0.372458627 -0.762186202 -0.988996299 -0.673831659 -0.443536816 0.413445687 2000-01-19 2000-01-20 2000-01-21 2000-01-22 2000-01-23 2000-01-24 2000-01-25 2000-01-26 2000-01-27 -0.069849302 0.520691745 -0.296890679 2.093093754 0.696635791 -0.286680977 -0.354431757 -0.157794595 -2.247776154 2000-01-28 2000-01-29 2000-01-30 -1.429291735 -0.302251311 0.071380311 > dat[[4]] 2000-01-01 2000-01-02 2000-01-03 2000-01-04 2000-01-05 2000-01-06 2000-01-07 2000-01-08 2000-01-09 1.229357467 -1.231028063 -0.384540478 1.058490237 -0.275243948 0.097183122 -1.768885144 -0.611407839 -3.441311777 2000-01-10 2000-01-11 2000-01-12 2000-01-13 2000-01-14 2000-01-15 2000-01-16 2000-01-17 2000-01-18 -0.312644935 0.380036670 0.025232772 -0.090080369 -1.157750720 0.859936199 0.590191927 -0.824260485 -1.570709392 2000-01-19 2000-01-20 2000-01-21 2000-01-22 2000-01-23 2000-01-24 2000-01-25 2000-01-26 2000-01-27 -1.356200595 -0.163619627 1.680948233 2.045026560 1.756296234 -1.422084889 -0.075294543 1.986966298 0.171919466 2000-01-28 2000-01-29 2000-01-30 2000-01-31 2000-02-01 2000-02-02 2000-02-03 2000-02-04 2000-02-05 0.474975000 -1.226787467 0.508195208 -1.237140935 0.361799136 0.497959878 -0.857453525 2.833531013 0.396793937 2000-02-06 2000-02-07 2000-02-08 2000-02-09 -0.966378375 0.556724596 0.170147308 -0.005016784 Now I want to merge all these 4 time series with "all=FALSE". I have tried with Reduce() function, However could not get desired result : > tail(Reduce("merge", dat)) init x[[i]] x[[i]].1 x[[i]].2 2000-02-04 NA NA NA 2.833531013 2000-02-05 NA NA NA 0.396793937 2000-02-06 NA NA NA -0.966378375 2000-02-07 NA NA NA 0.556724596 2000-02-08 NA NA NA 0.170147308 2000-02-09 NA NA NA -0.005016784 If I all additinal argument for merge() function I get error : > tail(Reduce("merge", all=F, dat)) Error in Reduce("merge", all = F, dat) : unused argument(s) (all = F) How to force R to report the data available only for all days? Thanks, -- View this message in context: http://n4.nabble.com/Merging-list-object-tp1838111p1838111.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.