r - Simultaneously merge multiple data.frames in a list -

i have list of many data.frames want merge. issue here each data.frame differs in terms of number of rows , columns, share key variables (which i've called "var1" , "var2" in code below). if data.frames identical in terms of columns, merely rbind, plyr's rbind.fill job, that's not case these data.

because merge command works on 2 data.frames, turned internet ideas. got 1 here, worked in r 2.7.2, had @ time:

merge.rec <- function(.list, ...){     if(length(.list)==1) return(.list[[1]])     recall(c(list(merge(.list[[1]], .list[[2]], ...)), .list[-(1:2)]), ...) } 

and call function so:

df <- merge.rec(my.list, by.x = c("var1", "var2"),                  by.y = c("var1", "var2"), = t, suffixes=c("", "")) 

but in r version after 2.7.2, including 2.11 , 2.12, code fails following error:

error in match.names(clabs, names(xi)) :    names not match previous names 

(incidently, see other references error elsewhere no resolution).

is there way solve this?

another question asked how perform multiple left joins using dplyr in r . question marked duplicate of 1 answer here:

library(dplyr) x <- data_frame(i = c("a","b","c"), j = 1:3) y <- data_frame(i = c("b","c","d"), k = 4:6) z <- data_frame(i = c("c","d","a"), l = 7:9) list(x,y,z) %>%     reduce(function(dtf1,dtf2) left_join(dtf1,dtf2,by="i"), .)  #  j  k  l #1 1 na  9 #2 b 2  4 na #3 c 3  5  7 

you can perform full_join() , inner_join()

list(x,y,z) %>%     reduce(function(dtf1,dtf2) full_join(dtf1,dtf2,by="i"), .)  #source: local data frame [4 x 4]  #   j  k  l #1  1 na  9 #2 b  2  4 na #3 c  3  5  7 #4 d na  6  8   list(x,y,z) %>%     reduce(function(dtf1,dtf2) inner_join(dtf1,dtf2,by="i"), .) #source: local data frame [1 x 4]  #  j k l #1 c 3 5 7 

for sake of completeness, here base r version of full join

reduce(function(dtf1, dtf2) merge(dtf1, dtf2, = "i", = true),        list(x,y,z))  #   j  k  l #1  1 na  9 #2 b  2  4 na #3 c  3  5  7 #4 d na  6  8