Error when a group is all infinite

[lazappi]

Hi

I just came across this error when grouping results in a variable having only infinite values. It seems to be coming from a {glue} call but I suspect the root error may be something to do with calculating statistics and then processing that error message.

library(dplyr)
library(skimr)

df <- data.frame(group = c("A", "B"), a = c(1, Inf))

# Skimming the whole data frame works (with a  warning)
skim(df)
#> Warning: There was 1 warning in `dplyr::summarize()`.
#> ℹ In argument: `dplyr::across(tidyselect::any_of(variable_names),
#>   mangled_skimmers$funs)`.
#> ℹ In group 0: .
#> Caused by warning:
#> ! There was 1 warning in `dplyr::summarize()`.
#> ℹ In argument: `dplyr::across(tidyselect::any_of(variable_names),
#>   mangled_skimmers$funs)`.
#> Caused by warning in `inline_hist()`:
#> ! Variable contains Inf or -Inf value(s) that were converted to NA.

Name	df
Number of rows	2
Number of columns	2
_______________________
Column type frequency:
character	1
numeric	1
________________________
Group variables	None

Data summary

Variable type: character

skim_variable	n_missing	complete_rate	min	max	empty	n_unique	whitespace
group	0	1	1	1	0	2	0

Variable type: numeric

skim_variable	n_missing	complete_rate	mean	sd	p0	p25	p50	p75	p100	hist
a	0	1	Inf	NaN	1	Inf	Inf	Inf	Inf	▁▁▇▁▁

# Grouping then skimming gives an error
df |> group_by(group) |> skim()
#> Error:
#> ! Failed to evaluate glue component {label}
#> Caused by error in `vapply()`:
#> ! values must be length 1,
#>  but FUN(X[[1]]) result is length 0

^{Created on 2024-07-22 with reprex v2.1.1}

Session info

sessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#>  setting  value
#>  version  R version 4.4.0 (2024-04-24)
#>  os       macOS Sonoma 14.5
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#>  P ── Loaded and on-disk path mismatch.
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[davi-dmittelstadt]

Hi

Just adding that the same error also occurs for Date variables when groups only have missing observations (NA).

library(dplyr)
library(skimr)

df <- data.frame(
  group = c("A", "B"), 
  b = c(Sys.Date(), NA))

skim(df)

Name	df
Number of rows	2
Number of columns	2
_______________________
Column type frequency:
character	1
Date	1
________________________
Group variables	None

Data summary

Variable type: character

skim_variable	n_missing	complete_rate	min	max	empty	n_unique	whitespace
group	0	1	1	1	0	2	0

Variable type: Date

skim_variable	n_missing	complete_rate	min	max	median	n_unique
b	1	0.5	2024-11-07	2024-11-07	2024-11-07	1

df |> group_by(group) |> skim()
#> Error in vapply(.x, .f, .mold, ..., USE.NAMES = FALSE): values must be length 1,
#>  but FUN(X[[1]]) result is length 0

^{Created on 2024-11-07 with reprex v2.0.2}

Session info

sessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#>  setting  value
#>  version  R version 4.2.2 (2022-10-31 ucrt)
#>  os       Windows 10 x64 (build 22631)
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#>  pandoc   3.2 @ C:/Program Files/RStudio/resources/app/bin/quarto/bin/tools/ (via rmarkdown)
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#> ─ Packages ───────────────────────────────────────────────────────────────────
#>  package     * version date (UTC) lib source
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#>  cli           3.6.0   2023-01-09 [1] CRAN (R 4.2.2)
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#>  fs            1.5.2   2021-12-08 [1] CRAN (R 4.2.2)
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#> 
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#> ──────────────────────────────────────────────────────────────────────────────

[elinw]

Sorry for the long delay. I think we should definitely be handling this, similar to how we handle some other specific situations. THat is to say, we should fix the function where this is an issue. I want to look at other situations with is.NaN () == TRUE.

[elinw]

One thing is that the first warning--that mentions converting the values to NA-- is expected.
@michaelquinn32 I think we probably need to not give that warning. See PR

Also switching to is.nan() gets rid of the vapply part of the error.

#757