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mirror of https://github.com/msberends/AMR.git synced 2025-07-08 23:21:56 +02:00

(v0.7.1.9027) tibble printing

This commit is contained in:
2019-08-07 15:37:39 +02:00
parent 14c47da656
commit 90c874025a
42 changed files with 946 additions and 602 deletions

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@ -34,6 +34,8 @@ test_that("EUCAST rules work", {
expect_error(eucast_rules(x = "text"))
expect_error(eucast_rules(data.frame(a = "test")))
expect_error(eucast_rules(data.frame(mo = "test"), rules = "invalid rules set"))
expect_warning(eucast_rules(data.frame(mo = "Escherichia coli", vancomycin = "S")))
expect_identical(colnames(septic_patients),
colnames(suppressWarnings(eucast_rules(septic_patients))))

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@ -115,6 +115,7 @@ test_that("portions works", {
septic_patients$AMX %>% portion_I(),
septic_patients$AMX %>% portion_R())
)
expect_error(portion_df(c("A", "B", "C")))
expect_error(portion_df(septic_patients[,"date"]))
})

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@ -32,7 +32,7 @@ test_that("prediction of rsi works", {
# # AMX resistance will increase according to data set `septic_patients`
# expect_true(AMX_R[3] < AMX_R[20])
x <- resistance_predict(septic_patients, col_ab = "AMX", year_min = 2010)
x <- resistance_predict(septic_patients, col_ab = "AMX", year_min = 2010, model = "binomial")
plot(x)
ggplot_rsi_predict(x)
expect_error(ggplot_rsi_predict(septic_patients))
@ -61,19 +61,27 @@ test_that("prediction of rsi works", {
col_date = "date",
info = TRUE))
expect_error(rsi_predict(x = filter(septic_patients, mo == "B_ESCHR_COL"),
model = "binomial",
col_ab = "NOT EXISTING COLUMN",
col_date = "date",
info = TRUE))
expect_error(rsi_predict(x = filter(septic_patients, mo == "B_ESCHR_COL"),
model = "binomial",
col_ab = "AMX",
col_date = "NOT EXISTING COLUMN",
info = TRUE))
expect_error(rsi_predict(x = filter(septic_patients, mo == "B_ESCHR_COL"),
col_ab = "AMX",
col_date = "NOT EXISTING COLUMN",
info = TRUE))
expect_error(rsi_predict(x = filter(septic_patients, mo == "B_ESCHR_COL"),
col_ab = "AMX",
col_date = "date",
info = TRUE))
# almost all E. coli are MEM S in the Netherlands :)
expect_error(resistance_predict(x = filter(septic_patients, mo == "B_ESCHR_COL"),
model = "binomial",
col_ab = "MEM",
col_date = "date",
info = TRUE))
expect_error(portion_df(c("A", "B", "C")))
expect_error(portion_df(septic_patients[,"date"]))
})