multi_join: Merge a list of datasets together

In emilelatour/lamisc: Latour's Little Helpers

Merge a list of datasets together

Description

Once again, a wonderful function provided by Bruno Rodrigues. This time a very simple function that uses this list of read datasets and merges them all together.

You should make sure that all the data frames have the same column names but you can also join data frames with different column names if you give the argument by to the join function. This is possible thanks to ... that allows you to pass further argument to join_func().

Usage

multi_join(list_of_loaded_data, join_func, ...)

Arguments

list_of_loaded_data	A list of data sets.
join_func	A user supplied join or merge function.
...	Further argument to join_func().

Value

A merged tibble / data frame

Examples

## Not run: 
library(dplyr)
library(stringr)
library(readr)

csv_path <- "C:/Users/latour/Dropbox/repos/lamisc/inst/extdata"

(data_files <- list.files(path = csv_path,
                          pattern = ".csv"))

setwd(csv_path)

list_of_data_sets <- read_list(list_of_datasets = data_files,
                               read_func = readr::read_csv)

dplyr::glimpse(list_of_data_sets)
merged_data <- multi_join(list_of_loaded_data = list_of_data_sets,
                          join_func = dplyr::full_join)
class(merged_data)
dplyr::glimpse(merged_data)

## End(Not run)

emilelatour/lamisc documentation built on April 9, 2024, 10:33 a.m.