AMR/tests/testthat/test-freq.R

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context("freq.R")
test_that("frequency table works", {
library(dplyr)
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expect_equal(nrow(freq(c(1, 1, 2, 2, 3, 3, 4, 4, 5, 5))), 5)
expect_equal(nrow(frequency_tbl(c(1, 1, 2, 2, 3, 3, 4, 4, 5, 5))), 5)
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# date column of septic_patients should contain 1140 unique dates
expect_equal(nrow(freq(septic_patients$date)), 1140)
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expect_equal(nrow(freq(septic_patients$date)),
length(unique(septic_patients$date)))
expect_output(print(septic_patients %>% freq(age, nmax = Inf)))
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expect_output(print(freq(septic_patients$age, nmax = Inf)))
expect_output(print(freq(septic_patients$age, nmax = NA)))
expect_output(print(freq(septic_patients$age, nmax = NULL)))
expect_output(print(freq(septic_patients$age, sort.count = FALSE)))
expect_output(print(freq(septic_patients$age, markdown = TRUE)))
expect_output(print(freq(septic_patients$age, markdown = TRUE), markdown = FALSE))
expect_output(print(freq(septic_patients$age, markdown = TRUE), markdown = TRUE))
expect_output(print(freq(septic_patients$age[0])))
expect_output(print(freq(septic_patients$age, quote = TRUE)))
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# character
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expect_output(print(freq(septic_patients$mo)))
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expect_output(suppressWarnings(print(freq(microorganisms$fullname))))
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# integer
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expect_output(print(freq(septic_patients$age)))
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# date
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expect_output(print(freq(septic_patients$date)))
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# factor
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expect_output(print(freq(septic_patients$hospital_id)))
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# table
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expect_output(print(freq(table(septic_patients$sex, septic_patients$age))))
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# rsi
expect_output(print(freq(septic_patients$amcl)))
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# hms
expect_output(suppressWarnings(print(freq(hms::as.hms(sample(c(0:86399), 50))))))
# matrix
expect_output(print(freq(as.matrix(septic_patients$age))))
expect_output(print(freq(as.matrix(septic_patients[, c("age", "sex")]))))
# list
expect_output(print(freq(list(age = septic_patients$age))))
expect_output(print(freq(list(age = septic_patients$age, sex = septic_patients$sex))))
library(dplyr)
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expect_output(septic_patients %>% select(1:2) %>% freq() %>% print())
expect_output(septic_patients %>% select(1:3) %>% freq() %>% print())
expect_output(septic_patients %>% select(1:4) %>% freq() %>% print())
expect_output(septic_patients %>% select(1:5) %>% freq() %>% print())
expect_output(septic_patients %>% select(1:6) %>% freq() %>% print())
expect_output(septic_patients %>% select(1:7) %>% freq() %>% print())
expect_output(septic_patients %>% select(1:8) %>% freq() %>% print())
expect_output(septic_patients %>% select(1:9) %>% freq() %>% print())
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expect_output(print(freq(septic_patients$age), nmax = 20))
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# top 5
expect_equal(
septic_patients %>%
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freq(mo) %>%
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top_freq(5) %>%
length(),
5)
# there are more than 5 lowest values
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expect_gt(
septic_patients %>%
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freq(mo) %>%
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top_freq(-5) %>%
length(),
5)
# n has length > 1
expect_error(
septic_patients %>%
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freq(mo) %>%
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top_freq(n = c(1, 2))
)
# input must be freq tbl
expect_error(septic_patients %>% top_freq(1))
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# charts from plot and hist, should not raise errors
plot(freq(septic_patients, age))
hist(freq(septic_patients, age))
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# check vector
expect_identical(septic_patients %>%
freq(age) %>%
as.vector() %>%
sort(),
septic_patients %>%
pull(age) %>%
sort())
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# check format
expect_identical(septic_patients %>%
freq(age) %>%
format() %>%
apply(2, class) %>%
unname(),
rep("character", 5))
# check tibble
expect_identical(septic_patients %>%
freq(age) %>%
as_tibble() %>%
class() %>%
.[1],
"tbl_df")
expect_error(septic_patients %>% freq(nonexisting))
expect_error(septic_patients %>% select(1:10) %>% freq())
expect_error(septic_patients %>% freq(peni, oxac, clox, amox, amcl,
ampi, pita, czol, cfep, cfur))
})