mixed-up columns in example data

[gadenbuie]

> fcds_example %>% filter(county_name == "Pinellas") %>% count_fcds(cancer_grade, sex = "Male")
# A tibble: 179 x 6
# Groups:   cancer_grade, sex, year_group, year, age_group [179]
   cancer_grade sex   year_group year  age_group     n
   <fct>        <fct> <fct>      <chr> <fct>     <int>
 1 Not paired   Male  1981-1985  1983  25 - 29       1
 2 Not paired   Male  1981-1985  1983  45 - 49       1
 3 Not paired   Male  1981-1985  1983  50 - 54       1
 4 Not paired   Male  1981-1985  1983  55 - 59       1
 5 Not paired   Male  1981-1985  1983  60 - 64       3
 6 Not paired   Male  1981-1985  1983  65 - 69       4
 7 Not paired   Male  1981-1985  1983  70 - 74       3
 8 Not paired   Male  1981-1985  1983  75 - 79       2
 9 Not paired   Male  1981-1985  1983  85+           1
10 Not paired   Male  1986-1990  1988  25 - 29       1