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Update mo.R
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3a5e20c11a
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R/mo.R
15
R/mo.R
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@ -989,8 +989,8 @@ repair_reference_df <- function(reference_df) {
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}
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convert_colloquial_input <- function(x) {
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x.bak <- trimws(x)
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x <- trimws(tolower(x))
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x.bak <- trimws2(x)
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x <- trimws2(tolower(x))
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out <- rep(NA_character_, length(x))
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# Streptococci, like GBS = Group B Streptococci (B_STRPT_GRPB)
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@ -1019,13 +1019,20 @@ convert_colloquial_input <- function(x) {
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out[x %like_case% "gram[ -]?neg.*|negatie?[vf]"] <- "B_GRAMN"
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out[x %like_case% "gram[ -]?pos.*|positie?[vf]"] <- "B_GRAMP"
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# Salmonella city names, starting with capital species name - they are all S. enterica
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# yeasts and fungi
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out[x %like_case% "^yeast?"] <- "F_YEAST"
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out[x %like_case% "^fung(us|i)"] <- "F_FUNGUS"
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# Salmonella city names, starting with capital species name - they are all S. enterica
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out[x.bak %like_case% "[sS]almonella [A-Z][a-z]+ ?.*" & x %unlike% "typhi"] <- "B_SLMNL_ENTR"
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# trivial names known to the field
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out[x %like_case% "meningo[ck]o[ck]"] <- "B_NESSR_MNNG"
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out[x %like_case% "gono[ck]o[ck]"] <- "B_NESSR_GNRR"
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out[x %like_case% "pneumo[ck]o[ck]"] <- "B_STRPT_PNMN"
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# unexisting names (xxx and con are WHONET codes)
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out[x %in% c("xxx", "con", "other", "none", "unknown") | x %like_case% "virus"] <- "UNKNOWN"
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out
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}
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