update_df: this helper function replaces matching rows of a current...

In UNCDEPENdLab/fmri.pipeline: Analysis of fMRI Data on HPC clusters

this helper function replaces matching rows of a current data.frame with rows in a new data.frame

Description

this helper function replaces matching rows of a current data.frame with rows in a new data.frame

Usage

update_df(current = NULL, new = NULL, id_cols = NULL, sort = TRUE)

Arguments

current	The current data.frame that may contains rows matching the new data.frame
new	A data.frame containing new data that should be added to the current data.frame
id_cols	A character vector of columns names that must exist in both the current and new data.frames. These are used to determine which rows match in the two datasets.

Details

The goal here is to keep records in the current data.frame that don't overlap with the new data.frame and replace overlapping records with those in the new data.frame. This is helpful when you want to update a master data.frame with new records that may overlap current records or may be truly new. If there is no overlap in the datasets, this function basically just binds them together using dplyr::bind_rows.

UNCDEPENdLab/fmri.pipeline documentation built on April 3, 2025, 3:21 p.m.