dataReporter | Development Tools library
kandi X-RAY | dataReporter Summary
kandi X-RAY | dataReporter Summary
dataReporter is a R library typically used in Utilities, Development Tools, Latex applications. dataReporter has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
A super simple way to get started is to load the package and use the makeDataReport() function on a data frame (if you try to generate several reports for the same data, then it may be necessary to add the replace=TRUE argument to overwrite the existing report). This will create a report with summaries and error checks for each variable in the trees data frame. The format of the report depends on your OS and whether you have have a LaTeX installation on your computer, which is needed for creating pdf reports.
A super simple way to get started is to load the package and use the makeDataReport() function on a data frame (if you try to generate several reports for the same data, then it may be necessary to add the replace=TRUE argument to overwrite the existing report). This will create a report with summaries and error checks for each variable in the trees data frame. The format of the report depends on your OS and whether you have have a LaTeX installation on your computer, which is needed for creating pdf reports.
Support
Quality
Security
License
Reuse
Support
dataReporter has a low active ecosystem.
It has 67 star(s) with 3 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
There are 6 open issues and 4 have been closed. On average issues are closed in 3 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of dataReporter is current.
Quality
dataReporter has 0 bugs and 0 code smells.
Security
dataReporter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
dataReporter code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
dataReporter does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
dataReporter releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of dataReporter
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of dataReporter
dataReporter Key Features
No Key Features are available at this moment for dataReporter.
dataReporter Examples and Code Snippets
No Code Snippets are available at this moment for dataReporter.
Community Discussions
Trending Discussions on dataReporter
QUESTION
Rename multiple R Markdowns using map() in purrr and makeDataReport()
Asked 2021-Jun-06 at 13:41
I want to rename a list of R Markdowns from a group split. Each dataframe has their own name in the list. My question is that I want to use makeDataReport()
to generate a R Markdown report for each group split but the function gives me an error on renaming the new R Markdown output.
ANSWER
Answered 2021-Jun-06 at 13:41pengiuns <- split(penguins, penguins$island)
pengiuns %>%
map(~makeDataReport(., file = paste0(unique(.$island),".Rmd")))
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install dataReporter
This github page contains the development version of dataReporter. For the latest stable version download the package from CRAN directly using. To install the development version of dataReporter run the following commands from within R (requires that the devtools package is already installed).
Support
You can read the main paper accompanying the package at the Journal of Statistical Software. It provides a detailed introduction to the dataReporter package (original launched under the name dataMaid).
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page