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
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.
Data summary
Variable type: character
Variable type: numeric
Created on 2024-07-22 with reprex v2.1.1
Session info
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