Reputation: 662
I have a list which contains a lot of dataframe. I want to merge them if they have the same name,i.e. merge all the dataframe which have the same name "a" and "b". Like this
a <- "aaaaa"
b <- "bbbbb"
c <- "ccccc"
g <- list(df1 <- data.frame(a,b), mf2 <- data.frame(b,b),
mf1 <- data.frame(c,b), df2 <- data.frame(a,c),
mf3 <- data.frame(b,c))
names(g) <- c("a","b","a","b","c")
> g
$`a`
a b
1 aaaaa bbbbb
$b
b b.1
1 bbbbb bbbbb
$a
c b
1 ccccc bbbbb
$b
a c
1 aaaaa ccccc
$c
b c
1 bbbbb ccccc
#I want to merge them by names and ideal result should be
$`a`
a b c b
1 aaaaa bbbbb ccccc bbbbb
$b
b b.1 a c
1 bbbbb bbbbb aaaaa ccccc
$c
b c
1 bbbbb ccccc
I want to merge them by names and ideal result should be like the one up there. How can I do that?
Upvotes: 3
Views: 894
Reputation: 39154
Here is a tidyverse
solution. We can split the list by name and then use bind_cols
to combine the data frame for each group.
library(tidyverse)
g2 <- map(split(g, names(g)), bind_cols)
g2
# $`a`
# a b c b1
# 1 aaaaa bbbbb ccccc bbbbb
#
# $b
# b b.1 a c
# 1 bbbbb bbbbb aaaaa ccccc
#
# $c
# b c
# 1 bbbbb ccccc
The base R equivalent is as follows.
g2 <- lapply(split(g, names(g)), function(x) do.call(cbind, x))
g2
# $`a`
# a.a a.b a.c a.b
# 1 aaaaa bbbbb ccccc bbbbb
#
# $b
# b.b b.b.1 b.a b.c
# 1 bbbbb bbbbb aaaaa ccccc
#
# $c
# c.b c.c
# 1 bbbbb ccccc
Upvotes: 6