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AMR/data-raw/exploratory_data_analysis_test.R

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library(dplyr)
example_isolates %>%
select(mo, where(is.rsi)) %>%
tidyr::pivot_longer(cols = where(is.rsi)) %>%
# remove intrisic R
filter(!paste(mo, name) %in% AMR:::INTRINSIC_R) %>%
mutate(name = as.ab(name),
value = ifelse(value == "R", 1, 0),
class = ab_group(name)) %>%
group_by(mo, class) %>%
summarise(n = n(),
res = mean(value, na.rm = TRUE)) %>%
filter(n > 30, !is.na(res))
df <- example_isolates
search_mo <- "B_ESCHR_COLI"
intrinsic_res <- INTRINSIC_R[INTRINSIC_R %like% search_mo]
intrinsic_res <- gsub(".* (.*)", "\\1", intrinsic_res)
x <- df %>%
select(mo, where(is.rsi)) %>%
filter(mo == search_mo) %>%
# at least 30 results available
select(function(x) sum(!is.na(x)) >= 30) %>%
# remove intrisic R
select(!matches(paste(intrinsic_res, collapse = "|")))