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sendigR
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]
[Scholar Profile | Author Map]
All associated links for this package
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 05 Jun. 2026.
Previous versions and publish date:
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Complete documentation for sendigR
Functions, R codes and Examples using
the sendigR R package
Some associated functions: dbCreateIndexes . dbCreateSchema . dbDeleteStudies . dbImportOneStudy . dbImportStudies . disconnectDB . execSendDashboard . gen_vocab . genericQuery . getControlSubj . getFindingsPhase . getFindingsSubjAge . getStudiesSDESIGN . getStudiesSTSTDTC . getSubjData . getSubjRoute . getSubjSex . getSubjSpeciesStrain . getTabColLabels . initEnvironment . standardize_file .
Some associated R codes: controlFiltering_shiny.R . dbFunctionsSQLite.R . downloadModule_shiny.R . getControlSubj.R . getFindingsPhase.R . getFindingsSubjAge.R . getStudiesSDESIGN.R . getStudiesSTSTDTC.R . getSubjData.R . getSubjRoute.R . getSubjSex.R . getSubjSpeciesStrain.R . initSENDFunctions.R . populateDBFunctions.R . sendDB_shiny.R . sendDashboard_shiny.R . xptCleanerWrapper.R . zzz.R . Full sendigR package functions and examples
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