mirror of https://github.com/msberends/AMR.git
fix txt export of microorganisms
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Package: AMR
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Version: 1.8.2.9034
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Version: 1.8.2.9035
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Date: 2022-10-29
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Title: Antimicrobial Resistance Data Analysis
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Description: Functions to simplify and standardise antimicrobial resistance (AMR)
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2
NEWS.md
2
NEWS.md
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# AMR 1.8.2.9034
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# AMR 1.8.2.9035
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This version will eventually become v2.0! We're happy to reach a new major milestone soon!
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15
R/rsi.R
15
R/rsi.R
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@ -622,7 +622,7 @@ as.rsi.data.frame <- function(x,
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# only print message if class not already set
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message_("=> Assigning class 'rsi' to already clean column '", font_bold(ab), "' (",
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ifelse(ab_coerced != toupper(ab), paste0(ab_coerced, ", "), ""),
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ab_name(ab_coerced, tolower = TRUE), ")... ",
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ab_name(ab_coerced, tolower = TRUE, language = NULL), ")... ",
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appendLF = FALSE,
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as_note = FALSE
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)
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@ -877,7 +877,8 @@ as_rsi_method <- function(method_short,
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warning_("No ", method_param, " breakpoints available for ",
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font_italic(suppressMessages(suppressWarnings(mo_shortname(mo[i], language = NULL, keep_synonyms = FALSE)))),
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paste0(" / "),
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suppressMessages(suppressWarnings(ab_name(ab, language = NULL, tolower = TRUE))))
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suppressMessages(suppressWarnings(ab_name(ab_param, language = NULL, tolower = TRUE))),
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" (", ab_param, ")")
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rise_warning <- TRUE
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next
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}
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@ -899,18 +900,18 @@ as_rsi_method <- function(method_short,
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# uti not set as TRUE, but there are only a UTI breakpoints available, so throw warning
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warning_("in `as.rsi()`: interpretation of ", font_bold(ab_name(ab_param, tolower = TRUE)), " is only available for (uncomplicated) urinary tract infections (UTI) for some microorganisms, thus assuming `uti = TRUE`. See ?as.rsi.")
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rise_warning <- TRUE
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} else if (nrow(records_same_mo) > 1 && length(unique(records_same_mo$site)) > 1 && uti[i] == FALSE && all(c(TRUE, FALSE) %in% records_same_mo$uti, na.rm = TRUE) && message_not_thrown_before("as.rsi", "siteUTI", records_same_mo$mo[1], records_same_mo$ab[1])) {
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} else if (nrow(records_same_mo) > 1 && length(unique(records_same_mo$site)) > 1 && is.na(uti[i]) && all(c(TRUE, FALSE) %in% records_same_mo$uti, na.rm = TRUE) && message_not_thrown_before("as.rsi", "siteUTI", records_same_mo$mo[1], ab_param)) {
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# uti not set and both UTI and non-UTI breakpoints available, so throw warning
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warning_("in `as.rsi()`: breakpoints for UTI ", font_underline("and"), " non-UTI available for ",
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font_italic(suppressMessages(suppressWarnings(mo_shortname(records_same_mo$mo[1], language = NULL, keep_synonyms = FALSE)))),
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paste0(" / "),
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suppressMessages(suppressWarnings(ab_name(records_same_mo$ab[1], language = NULL, tolower = TRUE))),
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paste0(" - assuming non-UTI. Use argument `uti` to set which isolates are from urine. See ?as.rsi. '"),
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" / ",
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suppressMessages(suppressWarnings(ab_name(ab_param, language = NULL, tolower = TRUE))),
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" (", ab_param, ") - assuming non-UTI. Use argument `uti` to set which isolates are from urine. See ?as.rsi.",
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call = FALSE)
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get_record <- get_record %pm>%
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pm_filter(uti == FALSE)
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rise_warning <- TRUE
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} else if (nrow(records_same_mo) > 1 && length(unique(records_same_mo$site)) > 1 && all(records_same_mo$uti == FALSE, na.rm = TRUE) && message_not_thrown_before("as.rsi", "site", records_same_mo$mo[1], records_same_mo$ab[1])) {
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} else if (nrow(records_same_mo) > 1 && length(unique(records_same_mo$site)) > 1 && all(records_same_mo$uti == FALSE, na.rm = TRUE) && message_not_thrown_before("as.rsi", "siteOther", records_same_mo$mo[1], ab_param)) {
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# breakpoints for multiple body sites available, so throw warning
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site <- get_record[1L, "site", drop = FALSE]
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if (is.na(site)) {
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@ -391,7 +391,6 @@ if (changed_md5(microorganisms)) {
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usethis::ui_info(paste0("Saving {usethis::ui_value('microorganisms')} to {usethis::ui_value('data-raw/')}"))
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write_md5(microorganisms)
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try(saveRDS(microorganisms, "data-raw/microorganisms.rds", version = 2, compress = "xz"), silent = TRUE)
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try(write.table(mo, "data-raw/microorganisms.txt", sep = "\t", na = "", row.names = FALSE), silent = TRUE)
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max_50_snomed <- sapply(microorganisms$snomed, function(x) paste(x[seq_len(min(50, length(x), na.rm = TRUE))], collapse = " "))
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mo <- microorganisms
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mo$snomed <- max_50_snomed
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@ -400,6 +399,8 @@ if (changed_md5(microorganisms)) {
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try(haven::write_sav(mo, "data-raw/microorganisms.sav"), silent = TRUE)
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try(haven::write_dta(mo, "data-raw/microorganisms.dta"), silent = TRUE)
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try(openxlsx::write.xlsx(mo, "data-raw/microorganisms.xlsx"), silent = TRUE)
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mo_all_snomed <- microorganisms %>% mutate_if(is.list, function(x) sapply(x, paste, collapse = ","))
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try(write.table(mo_all_snomed, "data-raw/microorganisms.txt", sep = "\t", na = "", row.names = FALSE), silent = TRUE)
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try(arrow::write_feather(microorganisms, "data-raw/microorganisms.feather"), silent = TRUE)
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try(arrow::write_parquet(microorganisms, "data-raw/microorganisms.parquet"), silent = TRUE)
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}
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File diff suppressed because one or more lines are too long
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@ -125,6 +125,8 @@ This data set is in R available as `microorganisms`, after you load the `AMR` pa
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**NOTE: The exported files for Excel, SAS, SPSS and Stata contain only the first 50 SNOMED codes per record, as their file size would otherwise exceed 100 MB; the file size limit of GitHub.** Advice? Use R instead.
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The tab-separated text file contains all SNOMED codes as comma separated values.
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### Source
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This data set contains the full microbial taxonomy of `r AMR:::nr2char(length(unique(AMR::microorganisms$kingdom[!AMR::microorganisms$kingdom %like% "unknown"])))` kingdoms from the List of Prokaryotic names with Standing in Nomenclature (LPSN) and the Global Biodiversity Information Facility (GBIF):
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