Other packages > Find by keyword >

uscoauditlog  

United States Copyright Office Product Management Division SR Audit Data Dataset Cleaning Algorithms
View on CRAN: Click here


Download and install uscoauditlog package within the R console
Install from CRAN:
install.packages("uscoauditlog")

Install from Github:
library("remotes")
install_github("cran/uscoauditlog")

Install by package version:
library("remotes")
install_version("uscoauditlog", "1.0.3")



Attach the package and use:
library("uscoauditlog")
Maintained by
Frederick Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-09
Latest Update: 2022-06-09
Description:
Intended to be used by the United States Copyright Office Product Management Division Business Analysts. Include algorithms for the United States Copyright Office Product Management Division SR Audit Data dataset. The algorithm takes in the SR Audit Data excel file and reformat the spreadsheet such that the values and variables fit the format of the online database. Support functions in this package include clean_str(), which cleans instances of variable AUDIT_LOG; clean_data_to_excel(), which cleans and output the reorganized SR Audit Data dataset in excel format; clean_data_to_dataframe(), which cleans and stores the reorganized SR Audit Data data set to a data frame; format_from_excel(), which reads in the outputted excel file from the clean_data_to_excel() function and formats and returns the data as a dictionary that uses FIELD types as keys and NON-FIELD types as the values of those keys. format_from_dataframe(), which reads in the outputted data frame from the clean_data_to_dataframe() function and formats and returns the data as a dictionary that uses FIELD types as keys and NON-FIELD types as the values of those keys; support_function(), which takes in the dictionary outputted either from the format_from_dataframe() or format_from_excel() function and returns the data as a formatted data frame according to the original U.S. Copyright Office SR Audit Data online database. The main function of this package is clean_format_all(), which takes in an excel file and returns the formatted data into a new excel and text file according to the format from the U.S. Copyright Office SR Audit Data online database.
How to cite:
Frederick Liu (2022). uscoauditlog: United States Copyright Office Product Management Division SR Audit Data Dataset Cleaning Algorithms. R package version 1.0.3, https://cran.r-project.org/web/packages/uscoauditlog. Accessed 06 Mar. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited uscoauditlog R package
View uscoauditlog citation profile
Other R packages that uscoauditlog depends, imports, suggests or enhances
Complete documentation for uscoauditlog
Functions, R codes and Examples using the uscoauditlog R package
Some associated functions: clean_data_to_dataframe . clean_data_to_excel . clean_format_all . clean_str . format_from_dataframe . format_from_excel . support_function . 
Some associated R codes: uscoauditlog.R .  Full uscoauditlog package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

DatabionicSwarm  
Swarm Intelligence for Self-Organized Clustering
Algorithms implementing populations of agents that interact with one another and sense their environ ...
Download / Learn more Package Citations See dependency  
lbfgs  
Limited-memory BFGS Optimization
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implem ...
Download / Learn more Package Citations See dependency  
solitude  
An Implementation of Isolation Forest
Isolation forest is anomaly detection method introduced by the paper Isolation based Anomaly Detecti ...
Download / Learn more Package Citations See dependency  
mlr3viz  
Visualizations for 'mlr3'
Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, le ...
Download / Learn more Package Citations See dependency  
EMVS  
The Expectation-Maximization Approach to Bayesian Variable Selection
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization p ...
Download / Learn more Package Citations See dependency  
openxlsx  
Read, Write and Edit xlsx Files
Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, stylin ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA