miss_analyze: error with mixed data

[Deleetdk]

> test_data %>% miss_analyze()
Error in pool_sd(d_x$x, d_x$group) : x must be a vector!
> test_data %>% str
'data.frame':	150 obs. of  6 variables:
 $ Sepal.Length: num  5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
 $ Sepal.Width : num  3.5 3 3.2 NA 3.6 3.9 3.4 3.4 2.9 NA ...
 $ Petal.Length: num  1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
 $ Petal.Width : num  0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
 $ Species     : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
 $ type        : chr  "C" NA "A" "C" ...

[Deleetdk]

Could not reproduce with iris.

> iris %>% miss_add_random() %>% miss_analyze()
             Sepal.Length Sepal.Width Petal.Length Petal.Width Species
Sepal.Length           NA       0.023        -0.46       -0.41    0.31
Sepal.Width         0.050          NA         0.28        0.21    0.14
Petal.Length       -0.193       0.116           NA       -0.17    0.23
Petal.Width         0.037       0.789        -0.11          NA    0.19
Species            -0.247      -0.026        -0.25       -0.13      NA

Perhaps due to chr col?

> iris %>% miss_add_random() %>% cbind(chr = sample(c("A", "B", "C", NA), 150, T)) %>% miss_analyze()
             Sepal.Length Sepal.Width Petal.Length Petal.Width Species  chr
Sepal.Length           NA       -0.16        0.558       0.580    0.32 0.24
Sepal.Width        -0.245          NA       -0.374      -0.272    0.39 0.46
Petal.Length       -0.016        0.30           NA      -0.276    0.19 0.20
Petal.Width        -0.050       -0.43       -0.100          NA    0.07 0.27
Species             0.080       -0.10       -0.023      -0.066      NA 0.19
chr                -0.208        0.11       -0.065       0.040    0.10   NA
> iris %>% miss_add_random() %>% cbind(chr = sample(c("A", "B", "C", NA), 150, T)) %>% miss_amount()
cases with missing data  vars with missing data cells with missing data 
                   0.52                    1.00                    0.12 

Does not seem there is any error. Perhaps was fixed and I forgot to update issue. Closing for now.