assertr | Assertive programming for R analysis pipelines

 by   ropensci R Version: v3.0.0 License: Non-SPDX

kandi X-RAY | assertr Summary

kandi X-RAY | assertr Summary

assertr is a R library. assertr has no bugs, it has no vulnerabilities and it has low support. However assertr has a Non-SPDX License. You can download it from GitHub.

The assertr package supplies a suite of functions designed to verify assumptions about data early in an analysis pipeline so that data errors are spotted early and can be addressed quickly. This package does not need to be used with the magrittr/dplyr piping mechanism but the examples in this README use them for clarity.
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            kandi-support Support

              assertr has a low active ecosystem.
              It has 436 star(s) with 33 fork(s). There are 15 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 11 open issues and 81 have been closed. On average issues are closed in 279 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of assertr is v3.0.0

            kandi-Quality Quality

              assertr has 0 bugs and 0 code smells.

            kandi-Security Security

              assertr has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              assertr code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              assertr has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              assertr releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            assertr Key Features

            No Key Features are available at this moment for assertr.

            assertr Examples and Code Snippets

            No Code Snippets are available at this moment for assertr.

            Community Discussions

            QUESTION

            Run an assert() check on a subset of the data in-line without modifying output data.frame
            Asked 2022-Jan-28 at 15:19

            I want to exempt a few rows from a check with assertr::assert() without modifying the data.frame that's passed through.

            For instance say I want to assert that there are no duplicated values of mtcars$qsec where mtcars$am is 0. I want to exempt the values where am = 1 and get back all of mtcars.

            This fails as it should:

            ...

            ANSWER

            Answered 2022-Jan-27 at 21:23

            You can use a lambda expression, as documented in ?magrittr::`%>%`:

            Source https://stackoverflow.com/questions/70884853

            QUESTION

            SVM prediction running fine in my computer but not in R Connect
            Asked 2021-Aug-06 at 04:41

            I’m creating a Shiny app that uses the caret package to do some SVM free-text analysis.

            The app runs fine without any error in my computer. I’m using R x64 4.0.4 and R studio 1.3.1093

            I’m deploying app to an internal enterprise server https://rconnect.xxxx.com/connect/#/apps/####

            This app is deployed in the server and started.
            But when I reach the line where I run the train function:

            ...

            ANSWER

            Answered 2021-Aug-05 at 01:15

            Errors like this in Shiny apps are almost always a result of missing packages, which the logs confirm.

            Turns out in this case I think the missing package is kernlab, which I only found by reading the documentation given here: https://topepo.github.io/caret/train-models-by-tag.html#Support_Vector_Machines. It's a suggested package, not imported, so the command suggested in the comments by heds1 would sort this out.

            Source https://stackoverflow.com/questions/68659043

            QUESTION

            Can you extract defective rows using AssertR in R?
            Asked 2021-May-02 at 08:46

            The example below is a simple one which tries to assert the column y is always positive (y>0). How can I extract the errored data (row 3 with the negative value,into a dataframe maybe, or any convenient object) while allowing the workflow to continue with "cleaned" data?

            ...

            ANSWER

            Answered 2021-Apr-12 at 09:23

            This is tricky, and the answer below doesn't solve this 100%. Now there are a number of different ways assertr lets you handle errors/stops, just see ?error_stop (which is the default).

            You need to not only filter out rows that fail, but also collect them (all) for later inspection.

            Below I wrote my own error handler. It fetches those rows that fail, filter them away, and stores them in the global environment under the varibale my.failed.rows.

            Source https://stackoverflow.com/questions/67053792

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install assertr

            You can install the latest version on CRAN like this.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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