edit_day0_child_ids: Edit incorrect child IDs in Day 0 data entries...
In Thaliehln/timci: Data management and visualisation for the TIMCI project
View source: R/clean_timci_data.R
edit_day0_child_ids R Documentation
Edit incorrect child IDs in Day 0 data entries (TIMCI-specific function)
Description
This function can be used to correct documented child ID duplicates, incorrect facility codes, or typos in Day 0 data entries. It reads in a CSV file containing corrections and applies them to the input dataframe.
Usage
edit_day0_child_ids(df, csv_prefix = "day0_duplicate_correction")
Arguments
df
A dataframe containing the Day 0 data entries to be corrected.
csv_prefix
A string value indicating the prefix of the CSV file from which to read the corrections (default is "day0_duplicate_correction").
Value
A list containing the edited dataframe and the list of applied corrections.
Thaliehln/timci documentation built on April 8, 2024, 3:38 p.m.
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View source: R/clean_timci_data.R
| edit_day0_child_ids | R Documentation |
Edit incorrect child IDs in Day 0 data entries (TIMCI-specific function)
Description
This function can be used to correct documented child ID duplicates, incorrect facility codes, or typos in Day 0 data entries. It reads in a CSV file containing corrections and applies them to the input dataframe.
Usage
edit_day0_child_ids(df, csv_prefix = "day0_duplicate_correction")
Arguments
df |
A dataframe containing the Day 0 data entries to be corrected. |
csv_prefix |
A string value indicating the prefix of the CSV file from which to read the corrections (default is "day0_duplicate_correction"). |
Value
A list containing the edited dataframe and the list of applied corrections.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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