Error in sect_title[[2]] : subscript out of bounds

[lanndoan]

I keep getting this error using dfSummary -- and it has happened for all of my data. All of the code worked before...

x was converted to a data frame
Error in sect_title[[2]] : subscript out of bounds

[dcomtois]

Please check that you have version 0.8.1. There was an issue with 0.8.0, that might be it.

If you have 0.8.1, please paste the call to dfSummary, with a brief description of your data. Thx

[onesandzeroes]

I am also having this issue, in summarytools version 0.8.5. In my case, the issue seems to be that I am piping a dataframe through to dfSummary, and because of that the data_info$Dataframe attribute is NULL and doesn't get added to the title. The issue doesn't occur when not using a pipe, as shown in the reprex below.

I think this can be addressed by updating the if ("Dataframe" %in% names(data_info)) check in the print method to check for NULL, I'll send a PR through shortly.

Reprex:

library(tidyverse)
library(summarytools)

data("iris")

summ1 = dfSummary(iris)
data_info1 = attr(summ1, "data_info")
data_info1
#> $Dataframe
#> [1] "iris"
#> 
#> $N.obs
#> [1] 150
print(summ1)
#> Data Frame Summary   
#> iris     
#> N: 150   
#> ------------------------------------------------------------------------------------------------------------------------
#> No   Variable        Stats / Values             Freqs (% of Valid)   Text Graph                       Valid    Missing  
#> ---- --------------- -------------------------- -------------------- -------------------------------- -------- ---------
#> 1    Sepal.Length    mean (sd) : 5.84 (0.83)    35 distinct val.       . . : :                        150      0        
#>      [numeric]       min < med < max :                                 : : : :                        (100%)   (0%)     
#>                      4.3 < 5.8 < 7.9                                   : : : : :                                        
#>                      IQR (CV) : 1.3 (0.14)                             : : : : :                                        
#>                                                                      : : : : : : : :                                    
#> 
#> 2    Sepal.Width     mean (sd) : 3.06 (0.44)    23 distinct val.             :                        150      0        
#>      [numeric]       min < med < max :                                       :                        (100%)   (0%)     
#>                      2 < 3 < 4.4                                           . :                                          
#>                      IQR (CV) : 0.5 (0.14)                               : : : :                                        
#>                                                                      . . : : : : : :                                    
#> 
#> 3    Petal.Length    mean (sd) : 3.76 (1.77)    43 distinct val.     :                                150      0        
#>      [numeric]       min < med < max :                               :         . :                    (100%)   (0%)     
#>                      1 < 4.35 < 6.9                                  :         : : .                                    
#>                      IQR (CV) : 3.5 (0.47)                           : :       : : : .                                  
#>                                                                      : :   . : : : : : .                                
#> 
#> 4    Petal.Width     mean (sd) : 1.2 (0.76)     22 distinct val.     :                                150      0        
#>      [numeric]       min < med < max :                               :                                (100%)   (0%)     
#>                      0.1 < 1.3 < 2.5                                 :       . .   :                                    
#>                      IQR (CV) : 1.5 (0.64)                           :       : :   :   .                                
#>                                                                      : :   : : : . : : :                                
#> 
#> 5    Species         1. setosa                  50 (33.3%)           IIIIIIIIIIIIIIII                 150      0        
#>      [factor]        2. versicolor              50 (33.3%)           IIIIIIIIIIIIIIII                 (100%)   (0%)     
#>                      3. virginica               50 (33.3%)           IIIIIIIIIIIIIIII                                   
#> ------------------------------------------------------------------------------------------------------------------------

summ2 = iris %>%
    select(- Petal.Length) %>%
    dfSummary()
data_info2 = attr(summ2, "data_info")
data_info2
#> $Dataframe
#> NULL
#> 
#> $N.obs
#> [1] 150
print(summ2)
#> Error in sect_title[[2]]: subscript out of bounds