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(v0.7.1.9100) bug_drug speed, MIC levels

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dr. M.S. (Matthijs) Berends
2019-10-08 22:21:33 +02:00
parent 683d226fd3
commit c8f6b97847
22 changed files with 117 additions and 70 deletions
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8
R/guess_ab_col.R
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@ -130,7 +130,7 @@ get_column_abx <- function(x,
# and that have no more than 50% invalid values
vectr_antibiotics <- unique(toupper(unlist(AMR::antibiotics[,c("ab", "atc", "name", "abbreviations", "synonyms")])))
vectr_antibiotics <- vectr_antibiotics[!is.na(vectr_antibiotics) & nchar(vectr_antibiotics) >= 3]
x_columns <- sapply(colnames(x), function(col = x, df = x_bak) {
x_columns <- sapply(colnames(x), function(col, df = x_bak) {
if (toupper(col) %in% vectr_antibiotics |
is.rsi(as.data.frame(df)[, col]) |
is.rsi.eligible(as.data.frame(df)[, col], threshold = 0.5)) {
@ -139,9 +139,9 @@ get_column_abx <- function(x,
return(NA_character_)
}
})
x_coluxmns <- x_columns[!is.na(x_columns)]
x <- x[,x_columns[!is.na(x_columns)]]
x_columns <- x_columns[!is.na(x_columns)]
x <- x[, x_columns, drop = FALSE] # without drop = TRUE, x will become a vector when x_columns is length 1
df_trans <- data.frame(colnames = colnames(x),
abcode = suppressWarnings(as.ab(colnames(x))))
df_trans <- df_trans[!is.na(df_trans$abcode),]