Hi,

I hope this is the right place for this kind of question. Please, let me know if I’m wrong.

I’m using `skimr`

, and I would like to change the default list of summary functions (“skimmers”) for class `numeric`

. Specifically, I try to remove the `hist`

skimmer as well as all skimmers related to quantiles (except for `median`

), and add an `iqr`

skimmer. My goal is to have only the usual statistics for (approximately) normally distributed RVs (`mean`

& `sd`

) and nonnormally distributed RVs (`median`

& `iqr`

), together with the usual stuff which helps you spot `NA`

s (`missing`

, `complete`

, `total`

).

```
library(skimr)
# test data frame
foo <- data.frame(x = c(1, 2, 3), y = c(1, 2, NA))
# if I try to remove skimmers and add new skimmers in the same instruction, skimr doesn't comply
skim_with(numeric = list(p0 = NULL, p25 = NULL, p75 = NULL, p100 = NULL,
hist = NULL, iqr = function(x) IQR(x, na.rm = TRUE)))
skim(foo)
# Skim summary statistics
# n obs: 3
# n variables: 2
#
# Variable type: numeric
# variable missing complete n mean sd p0 p25 median p75 p100 hist iqr
# x 0 3 3 2 1 1 1 2 1 1 1 1
# y 1 2 3 1.5 0.71 0.5 0.5 1.5 0.5 0.5 0.5 0.5
# instead, if I first remove skimmers, and then add the new skimmer in a successive instruction, it works
skim_with_defaults()
skim_with(numeric = list(p0 = NULL, p25 = NULL, p75 = NULL, p100 = NULL, hist = NULL))
skim_with(numeric = list(iqr = function(x) IQR(x, na.rm = TRUE)))
skim(foo)
# Skim summary statistics
# n obs: 3
# n variables: 2
#
# Variable type: numeric
# variable missing complete n mean sd median iqr
# x 0 3 3 2 1 2 1
# y 1 2 3 1.5 0.71 1.5 0.5
```

Why is this? Especially when I want to modify skimmers for multiple classes at the same time, it’s a bit annoying to use multiple instructions, even if of course it’s not a major issue.