cbind 2 dataframes with different number of rows

Question

I have two lists named h and g. They each contain 244 dataframes and they look like the following:

h[[1]]
   year  avg    hr   sal
         


        

Answer 1

We can use Map with cbind.fill (from rowr) to cbind the corresponding 'data.frame' from 'h' and 'g'.

library(rowr)
Map(cbind.fill, h, g, MoreArgs = list(fill=NA))

Update

Based on the expected output showed, it seems like the OP wanted a merge instead of cbind

f1 <- function(...) merge(..., all = TRUE, by = 'year')
Map(f1, h, g)
#[[1]]
#  year   avg hr  sal  pos   fld
#1 2010 0.300 31 2000    A 0.990
#2 2011 0.290 30 4000    B 0.995
#3 2012 0.275 14  600     NA
#4 2013 0.280 24  800    C 0.970
#5 2014 0.295 18 1000    B 0.980
#6 2015 0.330 26 7000    D 0.990
#7 2016 0.315 40 9000     NA

Or as @Colonel Beauvel mentioned, this can be made compact

Map(merge, h, g, by='year', all=TRUE)

data

h <- list(structure(list(year = 2010:2016, avg = c(0.3, 0.29, 0.275, 
0.28, 0.295, 0.33, 0.315), hr = c(31L, 30L, 14L, 24L, 18L, 26L, 
 40L), sal = c(2000L, 4000L, 600L, 800L, 1000L, 7000L, 9000L)), .Names = c("year", 
 "avg", "hr", "sal"), class = "data.frame", row.names = c("1", 
 "2", "3", "4", "5", "6", "7")))

g <- list(structure(list(year = c(2010L, 2011L, 2013L, 2014L, 2015L
), pos = c("A", "B", "C", "B", "D"), fld = c(0.99, 0.995, 0.97, 
0.98, 0.99)), .Names = c("year", "pos", "fld"), class = "data.frame",
row.names = c("1", 
"2", "3", "4", "5")))