Group output from naniar using dplyr, nesting/unnesting, compatibility with newer version of R

Question

I had a piece of R script running to get an overview on missing values in a repeated measures data frame. I used naniar and dplyr from the tidyverse and it worked fine. I used the combination to group the output by different factors (e.g. study, day, participant,...):

miss_trigger <- data_mlm_npu_filter[,c("Trigger_counter", "stadi_AU")] %>% 
  group_by(Trigger_counter) %>%
  miss_var_summary() 

Now, some months later, I first got the warning message

#Warning message:
#  `cols` is now required.
#Please use `cols = c(data)` 

After searching for the warning message, I found that there has change something with nesting/unnesting but this information did not help me to fix the warning/what changes to apply to my code.

And now after updating R to 3.6.2, I am just getting:

Error in group_by_fun(data, .fun = miss_var_summary()) : 
  could not find function "group_by_fun"

The miss_var_summary function itself works without problems. So, I would really just like to group my output from naniar as before. What do I have to do? Apparently I am missing a key information or understanding of the packages I am using on how to fix this myself.

Answer 1

This was a bug introduced by a new version of tidyr, this should now work:

library(naniar)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union

oceanbuoys %>% 
  group_by(year) %>% 
  miss_var_summary()
#> # A tibble: 14 x 4
#> # Groups:   year [2]
#>     year variable   n_miss pct_miss
#>    <dbl> <chr>       <int>    <dbl>
#>  1  1997 air_temp_c     77   20.9  
#>  2  1997 latitude        0    0    
#>  3  1997 longitude       0    0    
#>  4  1997 sea_temp_c      0    0    
#>  5  1997 humidity        0    0    
#>  6  1997 wind_ew         0    0    
#>  7  1997 wind_ns         0    0    
#>  8  1993 humidity       93   25.3  
#>  9  1993 air_temp_c      4    1.09 
#> 10  1993 sea_temp_c      3    0.815
#> 11  1993 latitude        0    0    
#> 12  1993 longitude       0    0    
#> 13  1993 wind_ew         0    0    
#> 14  1993 wind_ns         0    0

^{Created on 2020-05-14 by the reprex package (v0.3.0)}

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