I am making a table function where I am sorting by gender. However, I would like the no answer values, which are marked as a string to be omitted from the table. As it stands when the table prints, I have an male, female and no answer category, but not a single participant put no answer, so it's just a bunch of zeros
I've included a tibble of the data, I'm looking at the variable gender, which includes a no answer answer, which no one selected.
# A tibble: 321 × 2
poverty Gender
<fct> <fct>
1 Below Poverty Line Female
2 Below Poverty Line Female
3 Above Female
4 Below Poverty Line Female
5 Above Female
6 Below Poverty Line Male
7 Above Female
8 Above Female
9 Above Female
10 Above Female
# ℹ 311 more rows
I've put the code below, but cannot figure out how to change the sorting function
testable1 <- nosingleparent %>%
select(qa3_gender, imp_race, qopmpov)
testable1 %>%
tbl_summary(by = qa3_gender) %>%
modify_spanning_header(c("stat_1", "stat_2") ~ "**Gender**") %>%
add_overall() %>%
add_n() %>%
modify_caption("**Table 3. Non-Single Parents in Study**") %>%
modify_footnote(
all_stat_cols() ~ "1 = Male and 2 = Female"
)
I tried the code below but it didn't change any of the chart output
testable1 <- nosingleparent %>%
filter(qa3_gender != "No Answer") %>%
select(qa3_gender, imp_race, qopmpov)
Hard to say for sure without sample data, but it sounds like
qa3_genderis likely a factor that includes a"No Answer"level. This level will be included even if it doesn’t have any instances in your data. To avoid this, you’ll need to remove the unwanted level. One way to do this is usingforcats::fct_drop():