Error from `get_component_summary`: Could not found object 'account.avg.subscriberCount'

[billy3321]

I use get_component_summary like tutorial here:

https://dfrlab.github.io/Plandemic/

And I got error: Could not found object 'account.avg.subscriberCount'.

> comp_summary <- get_component_summary(output)
Error in `dplyr::summarise()`:
! Problem while computing `avg.subscriberCount = mean(account.avg.subscriberCount)`.
ℹ The error occurred in group 1: component = 1.
Caused by error in `mean()`:
! Could not found object 'account.avg.subscriberCount'
Run `rlang::last_error()` to see where the error occurred.
> rlang::last_error()
<error/rlang_error>
Error in `dplyr::summarise()`:
! Problem while computing `avg.subscriberCount = mean(account.avg.subscriberCount)`.
ℹ The error occurred in group 1: component = 1.
Caused by error in `mean()`:
! Could not found object 'account.avg.subscriberCount'
---
Backtrace:
  1. CooRnet::get_component_summary(output)
 11. base::mean(account.avg.subscriberCount)
Run `rlang::last_trace()` to see the full context.
> rlang::last_trace()
<error/rlang_error>
Error in `dplyr::summarise()`:
! Problem while computing `avg.subscriberCount = mean(account.avg.subscriberCount)`.
ℹ The error occurred in group 1: component = 1.
Caused by error in `mean()`:
! Could not found object 'account.avg.subscriberCount'
---
Backtrace:
     ▆
  1. ├─CooRnet::get_component_summary(output)
  2. │ └─... %>% ...
  3. ├─dplyr::summarise(...)
  4. ├─dplyr:::summarise.grouped_df(...)
  5. │ └─dplyr:::summarise_cols(.data, dplyr_quosures(...), caller_env = caller_env())
  6. │   ├─base::withCallingHandlers(...)
  7. │   └─dplyr:::map(quosures, summarise_eval_one, mask = mask)
  8. │     └─base::lapply(.x, .f, ...)
  9. │       └─dplyr FUN(X[[i]], ...)
 10. │         └─mask$eval_all_summarise(quo)
 11. ├─base::mean(account.avg.subscriberCount)
 12. └─base::.handleSimpleError(...)
 13.   └─dplyr h(simpleError(msg, call))
 14.     └─rlang::abort(bullets, call = error_call, parent = skip_internal_condition(e))

[fabiogiglietto]

ok let's try a step by step process starting from your list of URLs (see #28 (comment))