assertr | Assertive programming for R analysis pipelines
kandi X-RAY | assertr Summary
kandi X-RAY | assertr Summary
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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QUESTION
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 21:23You can use a lambda expression, as documented in ?magrittr::`%>%`
:
QUESTION
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 01:15Errors 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.
QUESTION
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 09:23This 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
.
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