Join list of data frames using map call

0 votes

I have a list of data.frames  and would like to merge them as part of a pipeline. Below is my attempt to do so.

library(tidyverse)

## Function to make a data.frame with an ID column and a random variable column with mean = df_mean
make.df <- function(df_mean){
  data.frame(id = 1:50,
             x = rnorm(n = 50, mean = df_mean))
}

## What I'd love:
my.dfs <- map(c(5, 10, 15), make.df) #%>%
  # <<some magical function that will full_join() on a list of data frames?>>

## Gives me the result I want, but inelegant
my.dfs.joined <- full_join(my.dfs[[1]], my.dfs[[2]], by = 'id') %>%
  full_join(my.dfs[[3]], by = 'id')

## Kind of what I want, but I want to merge, not bind
my.dfs.bound <- map(c(5, 10, 15), make.df) %>%
  bind_cols()

Apr 5, 2018 in Data Analytics by CodingByHeart77
• 3,720 points
384 views

1 answer to this question.

0 votes

You can use Reduce

set.seed(24)
r1 <- map(c(5, 10, 15), make.df)  %>% 
           Reduce(function(...) full_join(..., by = "id"), .)

Or you can try this with reduce

library(purrr)
set.seed(24)
r2 <- map(c(5, 10, 15), make.df)  %>%
             reduce(full_join, by = "id")

identical(r1, r2)
#[1] TRUE
answered Apr 5, 2018 by Sahiti
• 6,380 points

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