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sendigR  

Enable Cross-Study Analysis of 'CDISC' 'SEND' Datasets
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sendigR", "1.0.0")



Attach the package and use:
library("sendigR")
Maintained by
Wenxian Wang
[Scholar Profile | Author Map]
First Published: 2022-08-18
Latest Update: 2022-08-18
Description:
A system enables cross study Analysis by extracting and filtering study data for control animals from 'CDISC' 'SEND' Study Repository. These data types are supported: Body Weights, Laboratory test results and Microscopic findings. These database types are supported: 'SQLite' and 'Oracle'.
How to cite:
Wenxian Wang (2022). sendigR: Enable Cross-Study Analysis of 'CDISC' 'SEND' Datasets. R package version 1.0.0, https://cran.r-project.org/web/packages/sendigR. Accessed 30 Apr. 2025.
Previous versions and publish date:
No previous versions
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View sendigR citation profile
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Complete documentation for sendigR
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