Create statistics for coded income

[drbray]

I have an income question that contains codes for income categories.
My current code for this table is:

Blockquote
X4707 %>%
tab_cells(qf4) %>%
tab_cols(bana_1,bana_5,bana_4,banb_1,banb_2,banb_3,banb_4,banb_5,banb_6,banb_7,banb_8,banb_9,banb_10,banb_11) %>%
tab_weight(wgt) %>%
tab_stat_cpct() %>%
tab_last_sig_cpct() %>%
tab_pivot() %>%
drop_empty_columns() %>%
set_caption("qf4 Table")

[drbray]

sorry...i want to also show statistics for the midpoint of each income category. The categories are thus...

Blockquote
1 Under $25,000
2 $25,000 to under
3 $50,000 to under
4 $100,000 and over
8 Not sure
9 Prefer not to answer

[jrkrideau]

I suspect we need more information and some sample data, See:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…