tables <- function(scal_awl, tows){
tbl_gonad <- function(scal_awl, tows){
tbl_names <- c("Bed","N", "Immature", "Empty", "Init. Recovery", "Filling", "Full", "Unknown")
scal_awl %>%
left_join(tows) %>%
filter(!is.na(gonad)) %>%
count(Bed, gonad) %>%
group_by(Bed) %>%
mutate(prop = round(n / sum(n) * 100, 1)) %>%
spread(gonad, prop) %>%
replace(is.na(.), 0) %>%
summarise(N = sum(n),
zero = round(max(`0`),1),
one = round(max(`1`),1),
two = round(max(`2`),1),
three = round(max(`3`),1),
four = round(max(`4`),1),
five = round(max(`5`),1)) %>%
rename_at(names(.), function(x) tbl_names) -> x
write_csv(x, here::here(paste0("output/", YEAR, "/gonad.csv")))
x
}
tbl_worm <- function(scal_awl, tows){
tbl_names <- c("Bed", "N", "0%", "1-24%", "25-49%", "50-74%", "75-100%")
scal_awl %>%
left_join(tows) %>%
filter(!is.na(worm)) %>%
count(Bed, worm) %>%
group_by(Bed) %>%
mutate(prop = round(n / sum(n) * 100, 1)) %>%
spread(worm, prop) %>%
replace(is.na(.), 0) %>%
mutate(`4` = 0) %>%
summarise(N = sum(n),
zero = round(max(`0`),1),
one = round(max(`1`),1),
two = round(max(`2`),1),
three = round(max(`3`),1),
four = round(max(`4`),1)) %>%
rename_at(names(.), function(x) tbl_names) %T>%
write_csv(here::here(paste0("output/", YEAR, "/worm.csv")))
}
tbl_sex <- function(scal_awl, tows){
scal_awl %>%
left_join(tows, by = "tow_id") %>%
filter(!is.na(sex), size == "large") %>%
group_by(Bed, sex) %>%
summarise(n = n()) %>%
mutate(freq = round(n / sum(n) * 100, digits = 1)) %>%
group_by(Bed) %>%
mutate(N = sum(n)) %>%
spread(., sex, freq) %>%
dplyr::select(-N, everything(), -n) %>%
replace(is.na(.), 0) %T>%
write_csv(here::here(paste0("output/", YEAR, "/sex_tbl.csv")))
}
tbl_gonad(scal_awl, tows)
tbl_worm(scal_awl, tows)
tbl_sex(scal_awl, tows)
}
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