Running examples in ‘partition-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: partition
> ### Title: Agglomerative partitioning
> ### Aliases: partition
> 
> ### ** Examples
> 
> 
> set.seed(123)
> df <- simulate_block_data(c(3, 4, 5), lower_corr = .4, upper_corr = .6, n = 100)
> 
> #  don't accept reductions where information < .6
> prt <- partition(df, threshold = .6)
> prt
Partitioner:
   Director: Minimum Distance (Pearson) 
   Metric: Intraclass Correlation 
   Reducer: Scaled Mean

Reduced Variables:
2 reduced variables created from 5 observed variables

Mappings:
reduced_var_1 = {block3_x1, block3_x5}
reduced_var_2 = {block2_x1, block2_x2, block2_x3}

Minimum information:
0.627> 
> # return reduced data
> partition_scores(prt)
# A tibble: 100 × 9
   block1_x1 block1_x2 block1…¹ block…² block…³ block3…⁴ block…⁵ reduc…⁶ reduc…⁷
       <dbl>     <dbl>    <dbl>   <dbl>   <dbl>    <dbl>   <dbl>   <dbl>   <dbl>
 1    -0.441    -0.327   0.503   -0.526   0.203 -0.907   -0.919   0.442    0.522
 2    -0.180    -0.584   0.490   -1.71   -0.249 -1.39    -0.398   0.0158  -0.764
 3     0.376     0.158  -0.0732   0.693  -0.554 -1.52     0.714   0.443    0.277
 4     1.10      1.54    0.564   -0.524  -0.585 -0.00592  0.299   1.76    -1.18 
 5    -1.66     -1.25   -1.44     0.189  -1.69  -1.43     0.140  -0.305   -0.932
 6     1.60      2.42    0.192    0.463  -1.26  -0.346   -1.86   -1.59     0.676
 7     1.40      0.236  -0.354   -0.313  -0.223 -1.13     0.0716 -1.00    -0.835
 8     2.21      2.41    1.73    -0.521   1.72   2.19     1.04    1.45     0.354
 9     0.404     0.311   0.672   -0.572  -1.10  -0.0893  -1.55   -1.29    -0.945
10     0.199     0.348   0.0455  -0.408  -0.192 -0.355    0.223   0.385    0.418
# … with 90 more rows, and abbreviated variable names ¹​block1_x3, ²​block2_x4,
#   ³​block3_x2, ⁴​block3_x3, ⁵​block3_x4, ⁶​reduced_var_1, ⁷​reduced_var_2
> 
> # access mapping keys
> mapping_key(prt)
# A tibble: 9 × 4
  variable      mapping   information indices  
  <chr>         <list>          <dbl> <list>   
1 block1_x1     <chr [1]>       1     <int [1]>
2 block1_x2     <chr [1]>       1     <int [1]>
3 block1_x3     <chr [1]>       1     <int [1]>
4 block2_x4     <chr [1]>       1     <int [1]>
5 block3_x2     <chr [1]>       1     <int [1]>
6 block3_x3     <chr [1]>       1     <int [1]>
7 block3_x4     <chr [1]>       1     <int [1]>
8 reduced_var_1 <chr [2]>       0.656 <int [2]>
9 reduced_var_2 <chr [3]>       0.627 <int [3]>
> unnest_mappings(prt)
# A tibble: 12 × 4
   variable      mapping   information indices
   <chr>         <chr>           <dbl>   <int>
 1 block1_x1     block1_x1       1           1
 2 block1_x2     block1_x2       1           2
 3 block1_x3     block1_x3       1           3
 4 block2_x4     block2_x4       1           7
 5 block3_x2     block3_x2       1           9
 6 block3_x3     block3_x3       1          10
 7 block3_x4     block3_x4       1          11
 8 reduced_var_1 block3_x1       0.656       8
 9 reduced_var_1 block3_x5       0.656      12
10 reduced_var_2 block2_x1       0.627       4
11 reduced_var_2 block2_x2       0.627       5
12 reduced_var_2 block2_x3       0.627       6
> 
> # use a lower threshold of information loss
> partition(df, threshold = .5, partitioner = part_kmeans())
Error in vectbl_assign(x[[j]], i, recycled_value[[j]]) : 
  DLL requires the use of native symbols
Calls: partition ... tbl_subassign_row -> withCallingHandlers -> vectbl_assign
Execution halted