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(v1.4.0.9052) replaced all sapply's with type-safe vapply's

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dr. M.S. (Matthijs) Berends
2020-12-28 22:24:33 +01:00
parent ccf13dd6c0
commit 526f8afb08
37 changed files with 155 additions and 117 deletions
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4
R/data.R
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@ -178,7 +178,7 @@ catalogue_of_life <- list(
#' - `gender`\cr gender of the patient
#' - `patient_id`\cr ID of the patient
#' - `mo`\cr ID of microorganism created with [as.mo()], see also [microorganisms]
#' - `PEN:RIF`\cr `r sum(sapply(example_isolates, is.rsi))` different antibiotics with class [`rsi`] (see [as.rsi()]); these column names occur in the [antibiotics] data set and can be translated with [ab_name()]
#' - `PEN:RIF`\cr `r sum(vapply(FUN.VALUE = logical(1), example_isolates, is.rsi))` different antibiotics with class [`rsi`] (see [as.rsi()]); these column names occur in the [antibiotics] data set and can be translated with [ab_name()]
#' @inheritSection AMR Reference data publicly available
#' @inheritSection AMR Read more on our website!
"example_isolates"
@ -225,7 +225,7 @@ catalogue_of_life <- list(
#' - `Inducible clindamycin resistance`\cr Clindamycin can be induced?
#' - `Comment`\cr Other comments
#' - `Date of data entry`\cr Date this data was entered in WHONET
#' - `AMP_ND10:CIP_EE`\cr `r sum(sapply(WHONET, is.rsi))` different antibiotics. You can lookup the abbreviations in the [antibiotics] data set, or use e.g. [`ab_name("AMP")`][ab_name()] to get the official name immediately. Before analysis, you should transform this to a valid antibiotic class, using [as.rsi()].
#' - `AMP_ND10:CIP_EE`\cr `r sum(vapply(FUN.VALUE = logical(1), WHONET, is.rsi))` different antibiotics. You can lookup the abbreviations in the [antibiotics] data set, or use e.g. [`ab_name("AMP")`][ab_name()] to get the official name immediately. Before analysis, you should transform this to a valid antibiotic class, using [as.rsi()].
#' @inheritSection AMR Reference data publicly available
#' @inheritSection AMR Read more on our website!
"WHONET"