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(v1.3.0.9023) optimalisation
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@ -19,19 +19,3 @@
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# Visit our website for more info: https://msberends.github.io/AMR. #
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# ==================================================================== #
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# context("All examples")
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#
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# # run all examples (will take forever)
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# exported_functions <- ls("package:AMR")
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#
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# for (i in seq_len(length(exported_functions))) {
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# test_that(paste(exported_functions[i], "works"), {
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# skip_on_cran()
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# expect_output(suppressWarnings(example(exported_functions[i],
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# package = "AMR",
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# give.lines = TRUE,
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# run.dontrun = TRUE,
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# run.donttest = TRUE)),
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# label = paste0("Examples of function ", exported_functions[i]))
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# })
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# }
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@ -38,10 +38,10 @@ test_that("mic works", {
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expect_warning(as.mic("INVALID VALUE"))
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# print plots, should not raise errors
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barplot(as.mic(c(1, 2, 4, 8)))
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plot(as.mic(c(1, 2, 4, 8)))
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print(as.mic(c(1, 2, 4, 8)))
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# print plots
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expect_success(x <- barplot(as.mic(c(1, 2, 4, 8))))
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expect_success(x <- plot(as.mic(c(1, 2, 4, 8))))
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expect_success(x <- print(as.mic(c(1, 2, 4, 8))))
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expect_equal(summary(as.mic(c(2, 8))),
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structure(c("Class" = "mic",
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@ -35,8 +35,8 @@ test_that("prediction of rsi works", {
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expect_true(AMX_R[3] < AMX_R[20])
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x <- resistance_predict(example_isolates, col_ab = "AMX", year_min = 2010, model = "binomial")
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plot(x)
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ggplot_rsi_predict(x)
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expect_success(y <- plot(x))
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expect_success(y <- ggplot_rsi_predict(x))
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expect_error(ggplot_rsi_predict(example_isolates))
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library(dplyr)
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@ -27,14 +27,14 @@ test_that("rsi works", {
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expect_true(as.rsi("S") < as.rsi("I"))
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expect_true(as.rsi("I") < as.rsi("R"))
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expect_true(is.rsi(as.rsi("S")))
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# print plots, should not raise errors
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barplot(as.rsi(c("S", "I", "R")))
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plot(as.rsi(c("S", "I", "R")))
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print(as.rsi(c("S", "I", "R")))
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expect_success(x <- barplot(as.rsi(c("S", "I", "R"))))
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expect_success(x <- plot(as.rsi(c("S", "I", "R"))))
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expect_success(x <- print(as.rsi(c("S", "I", "R"))))
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expect_equal(as.character(as.rsi(c(1:3))), c("S", "I", "R"))
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expect_equal(suppressWarnings(as.logical(as.rsi("INVALID VALUE"))), NA)
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expect_equal(summary(as.rsi(c("S", "R"))),
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