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(v2.1.1.9056) example fix
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Package: AMR
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Package: AMR
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Version: 2.1.1.9055
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Version: 2.1.1.9056
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Date: 2024-06-17
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Date: 2024-06-17
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Title: Antimicrobial Resistance Data Analysis
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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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Description: Functions to simplify and standardise antimicrobial resistance (AMR)
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2
NEWS.md
2
NEWS.md
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# AMR 2.1.1.9055
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# AMR 2.1.1.9056
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*(this beta version will eventually become v3.0. We're happy to reach a new major milestone soon, which will be all about the new One Health support! Install this beta using [the instructions here](https://msberends.github.io/AMR/#latest-development-version).)*
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*(this beta version will eventually become v3.0. We're happy to reach a new major milestone soon, which will be all about the new One Health support! Install this beta using [the instructions here](https://msberends.github.io/AMR/#latest-development-version).)*
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12
R/sir.R
12
R/sir.R
@ -199,13 +199,13 @@
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#' ab = "antibiotic",
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#' ab = "antibiotic",
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#' guideline = "CLSI")))
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#' guideline = "CLSI")))
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#' df_long %>%
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#' df_long %>%
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#' # given certain columns, e.g. from AMP to TOB
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#' # given certain columns, e.g. from 'cipro' to 'genta'
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#' mutate_at(vars(AMP:TOB), as.sir,
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#' mutate_at(vars(cipro:genta), as.sir,
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#' mo = "bacteria",
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#' mo = "bacteria",
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#' ab = "antibiotic",
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#' ab = "antibiotic",
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#' guideline = "CLSI")
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#' guideline = "CLSI")
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#' df_long %>%
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#' df_long %>%
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#' mutate(across(AMP:TOB,
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#' mutate(across(cipro:genta,
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#' function(x) as.sir(x,
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#' function(x) as.sir(x,
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#' mo = "bacteria",
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#' mo = "bacteria",
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#' ab = "antibiotic",
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#' ab = "antibiotic",
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@ -229,13 +229,13 @@
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#' guideline = "CLSI")))
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#' guideline = "CLSI")))
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#' df_long %>%
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#' df_long %>%
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#' # given certain columns, e.g. from AMP to TOB
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#' # given certain columns, e.g. from AMP to TOB
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#' mutate_at(vars(AMP:TOB), as.sir,
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#' mutate_at(vars(cipro:genta), as.sir,
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#' mo = "bacteria",
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#' mo = "bacteria",
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#' ab = "antibiotic",
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#' ab = "antibiotic",
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#' host = "animal_species",
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#' host = "animal_species",
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#' guideline = "CLSI")
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#' guideline = "CLSI")
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#' df_long %>%
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#' df_long %>%
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#' mutate(across(AMP:TOB,
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#' mutate(across(cipro:genta,
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#' function(x) as.sir(x,
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#' function(x) as.sir(x,
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#' mo = "bacteria",
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#' mo = "bacteria",
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#' ab = "antibiotic",
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#' ab = "antibiotic",
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@ -254,7 +254,7 @@
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#' as.sir() # automatically determines urine isolates
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#' as.sir() # automatically determines urine isolates
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#'
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#'
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#' df_wide %>%
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#' df_wide %>%
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#' mutate_at(vars(AMP:TOB), as.sir, mo = "E. coli", uti = TRUE)
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#' mutate_at(vars(cipro:genta), as.sir, mo = "E. coli", uti = TRUE)
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#' }
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#' }
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#'
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#'
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#'
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#'
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@ -42,7 +42,10 @@ expect_identical(as.character(as.mo("ENT_ASB_CLO")), "ENT_ASB_CLO")
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expect_identical(mo_name("ENT_ASB_CLO"), "Enterobacter asburiae/cloacae")
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expect_identical(mo_name("ENT_ASB_CLO"), "Enterobacter asburiae/cloacae")
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expect_identical(mo_gramstain("ENT_ASB_CLO", language = NULL), "Gram-negative")
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expect_identical(mo_gramstain("ENT_ASB_CLO", language = NULL), "Gram-negative")
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expect_identical(paste("B", AMR:::abbreviate_mo("Klebsiella"), AMR:::abbreviate_mo("pneumoniae", 4), sep = "_"),
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if (getRversion() >= "3.3.0") {
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as.character(as.mo("Klebsiella pneumoniae")))
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# until R 3.2, abbreviate() used a completely different algorithm, making these tests unreproducible
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expect_identical(paste("B", AMR:::abbreviate_mo("Aerococcus"), AMR:::abbreviate_mo("urinae", 4), sep = "_"),
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expect_identical(paste("B", AMR:::abbreviate_mo("Klebsiella"), AMR:::abbreviate_mo("pneumoniae", 4), sep = "_"),
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as.character(as.mo("Aerococcus urinae")))
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as.character(as.mo("Klebsiella pneumoniae")))
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expect_identical(paste("B", AMR:::abbreviate_mo("Aerococcus"), AMR:::abbreviate_mo("urinae", 4), sep = "_"),
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as.character(as.mo("Aerococcus urinae")))
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}
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@ -296,13 +296,13 @@ if (require("dplyr")) {
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ab = "antibiotic",
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ab = "antibiotic",
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guideline = "CLSI")))
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guideline = "CLSI")))
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df_long \%>\%
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df_long \%>\%
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# given certain columns, e.g. from AMP to TOB
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# given certain columns, e.g. from 'cipro' to 'genta'
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mutate_at(vars(AMP:TOB), as.sir,
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mutate_at(vars(cipro:genta), as.sir,
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mo = "bacteria",
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mo = "bacteria",
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ab = "antibiotic",
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ab = "antibiotic",
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guideline = "CLSI")
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guideline = "CLSI")
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df_long \%>\%
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df_long \%>\%
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mutate(across(AMP:TOB,
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mutate(across(cipro:genta,
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function(x) as.sir(x,
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function(x) as.sir(x,
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mo = "bacteria",
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mo = "bacteria",
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ab = "antibiotic",
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ab = "antibiotic",
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@ -326,13 +326,13 @@ if (require("dplyr")) {
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guideline = "CLSI")))
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guideline = "CLSI")))
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df_long \%>\%
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df_long \%>\%
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# given certain columns, e.g. from AMP to TOB
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# given certain columns, e.g. from AMP to TOB
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mutate_at(vars(AMP:TOB), as.sir,
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mutate_at(vars(cipro:genta), as.sir,
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mo = "bacteria",
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mo = "bacteria",
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ab = "antibiotic",
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ab = "antibiotic",
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host = "animal_species",
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host = "animal_species",
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guideline = "CLSI")
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guideline = "CLSI")
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df_long \%>\%
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df_long \%>\%
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mutate(across(AMP:TOB,
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mutate(across(cipro:genta,
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function(x) as.sir(x,
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function(x) as.sir(x,
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mo = "bacteria",
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mo = "bacteria",
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ab = "antibiotic",
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ab = "antibiotic",
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@ -351,7 +351,7 @@ if (require("dplyr")) {
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as.sir() # automatically determines urine isolates
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as.sir() # automatically determines urine isolates
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df_wide \%>\%
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df_wide \%>\%
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mutate_at(vars(AMP:TOB), as.sir, mo = "E. coli", uti = TRUE)
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mutate_at(vars(cipro:genta), as.sir, mo = "E. coli", uti = TRUE)
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}
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}
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