Comments (2)
Hi Datakilimba!
So a few things.
a) For showing errors in a shiny app, you may want to
look at https://github.com/Appsilon/data.validator
which using assertr internally
b)The offending info and rows are stored internally
and accessible. You may want to look into
help("success_and_error_functions")
after you load assertr.
Here an example, (I switched to data.frame
because I
don't have tribble
and I switched the place of the 0
in column x to better illustrate the point.
> test <- data.frame(x=c(1, 0, 3),
+ y=c(4, 8, -2))
> test %>%
+ assert(within_bounds(0,100), y,
+ error_fun=error_df_return) -> tmp
> # looking at the returned data.frame
> tmp
verb redux_fn predicate column index value
1 assert NA within_bounds(0, 100) y 3 -2
> # access the index/indices/rows of offending data
> tmp$index
[1] 3
>
> # using multiple and chaining
> test %>%
+ chain_start %>%
+ assert(within_bounds(0,100), y) %>%
+ assert(within_bounds(1, 100), x) %>%
+ chain_end(error_fun=error_df_return) -> tmp
>
> tmp
verb redux_fn predicate column index value
1 assert NA within_bounds(0, 100) y 3 -2
2 assert NA within_bounds(1, 100) x 2 0
>
> tmp$index
[1] 3 2
So you can use these indices and remove the offending rows
afterwards.
If you'd like assertr to automatically do it, that seems like
a cool idea; I'd be open to a pull request :)
I'll close this for now put please let me know if I answered
your question properly.
from assertr.
Thank you, this seems neat and tidy. I will give this a go and if a pull request is needed I will go ahead :-).
from assertr.
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from assertr.