iterative_merge: iterative_merge

In 1Edtrujillo1/udeploy: Back-end & Front-end functions

Description

Merge a list of datasets

Usage

iterative_merge(dfs_list, key, unify_id = FALSE, keep = NULL, ...)

Arguments

dfs_list	list of datasets
key	join IDs
unify_id	argument that indicates if the same ID has a different name in each table
keep	argument that indicates if you want to get .x variables or .y variables
...	additional parameters of merge

Details

This function allows you to make any type of merge of different datasets withing a list unifying the ID variable and cleaning duplicated variables.

Value

"This function returns a merged dataset of all datasets from dfs_list with different results based on keep argument:"

• If keep is NULL return the merged dataset without cleaning the duplicated variables after merging.

• If keep = "x" return the dataset with the no duplicated variables and the duplicated old variables without the extension .x

• If keep = "y" return the dataset with the no duplicated variables and the duplicated new variables without the extension .y

Note

• If unify_id = TRUE, the keys argument ids of each dataset is going to be renamed as ID, with the intention that the merge works with the variables with name ID (only if is the same ID with different name in each)

• If you select the keep argument and there is no duplicated variables, then it will ignore that argument.

Author(s)

Eduardo Trujillo

1Edtrujillo1/udeploy documentation built on July 13, 2021, 9:12 p.m.