remove n_miss_cumsum from miss_*_summary by default

[njtierney]

At the moment miss_var_summary and miss_case_summary include the cumulative sum of missings in the variables and cases as they were presented. This can be a useful summary to include, but I don't think that this is a common enough use case to include it by default - so it will be moved to an option called add_cumsum that handles this.

So what I'll have is:

Before

library(naniar)

miss_var_summary(airquality)
#> # A tibble: 6 x 4
#>   variable n_miss pct_miss n_miss_cumsum
#>   <chr>     <int>    <dbl>         <int>
#> 1 Ozone        37    24.2             37
#> 2 Solar.R       7     4.58            44
#> 3 Wind          0     0               44
#> 4 Temp          0     0               44
#> 5 Month         0     0               44
#> 6 Day           0     0               44
miss_case_summary(airquality)
#> # A tibble: 153 x 4
#>     case n_miss pct_miss n_miss_cumsum
#>    <int>  <int>    <dbl>         <int>
#>  1     5      2     33.3             2
#>  2    27      2     33.3             9
#>  3     6      1     16.7             3
#>  4    10      1     16.7             4
#>  5    11      1     16.7             5
#>  6    25      1     16.7             6
#>  7    26      1     16.7             7
#>  8    32      1     16.7            10
#>  9    33      1     16.7            11
#> 10    34      1     16.7            12
#> # ... with 143 more rows

Created on 2018-07-30 by the reprex package (v0.2.0).

After

library(naniar)

miss_var_summary(airquality)
#> # A tibble: 6 x 3
#>   variable n_miss pct_miss
#>   <chr>     <int>    <dbl>
#> 1 Ozone        37    24.2 
#> 2 Solar.R       7     4.58
#> 3 Wind          0     0   
#> 4 Temp          0     0   
#> 5 Month         0     0   
#> 6 Day           0     0
miss_case_summary(airquality)
#> # A tibble: 153 x 3
#>     case n_miss pct_miss
#>    <int>  <int>    <dbl>
#>  1     5      2     33.3
#>  2    27      2     33.3
#>  3     6      1     16.7
#>  4    10      1     16.7
#>  5    11      1     16.7
#>  6    25      1     16.7
#>  7    26      1     16.7
#>  8    32      1     16.7
#>  9    33      1     16.7
#> 10    34      1     16.7
#> # ... with 143 more rows

Created on 2018-07-30 by the reprex package (v0.2.0).