Other packages > Find by keyword >

dittodb  

A Test Environment for Database Requests
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("dittodb", "0.1.10")



Attach the package and use:
library("dittodb")
Maintained by
Jonathan Keane
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-24
Latest Update: 2025-09-03
Description:
Testing and documenting code that communicates with remote databases can be painful. Although the interaction with R is usually relatively simple (e.g. data(frames) passed to and from a database), because they rely on a separate service and the data there, testing them can be difficult to set up, unsustainable in a continuous integration environment, or impossible without replicating an entire production cluster. This package addresses that by allowing you to make recordings from your database interactions and then play them back while testing (or in other contexts) all without needing to spin up or have access to the database your code would typically connect to.
How to cite:
Jonathan Keane (2020). dittodb: A Test Environment for Database Requests. R package version 0.1.10, https://cran.r-project.org/web/packages/dittodb. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:32), 0.1.0 (2020-07-24 18:40), 0.1.1 (2020-07-29 14:00), 0.1.2 (2020-10-08 06:30), 0.1.3 (2020-10-10 08:20), 0.1.4 (2022-06-17 09:10), 0.1.5 (2023-04-13 04:20), 0.1.6 (2023-04-17 10:20), 0.1.7 (2023-08-13 16:20), 0.1.8 (2024-04-09 05:30), 0.1.9 (2025-08-18 15:10), 0.1.10 (2026-01-11 16:50)
Other packages that cited dittodb R package
View dittodb citation profile
Other R packages that dittodb depends, imports, suggests or enhances
Complete documentation for dittodb
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

hmeasure  
The H-Measure and Other Scalar Classification Performance Metrics
Classification performance metrics that are derived from the ROC curve of a classifier. The package ...
Download / Learn more Package Citations See dependency  
eyelinker  
Import ASC Files from EyeLink Eye Trackers
Imports plain-text ASC data files from EyeLink eye trackers into (relatively) tidy data frames for ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
data360r  
Wrapper for 'TCdata360' and 'Govdata360' API
Makes it easy to engage with the Application Program Interface (API) of the 'TCdata360' and 'Govdat ...
Download / Learn more Package Citations See dependency  
downlit  
Syntax Highlighting and Automatic Linking
Syntax highlighting of R code, specifically designed for the needs of 'RMarkdown' packages like 'pk ...
Download / Learn more Package Citations See dependency  
injectoR  
R Dependency Injection
R dependency injection framework. Dependency injection allows a program design to follow the depend ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

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